|1||Zhejiang Normal University||Riding Comfort Evaluation of Urban Rail Transit Based on Cloud Model|
|The ride comfort of urban rail transit is a kind of comprehensive experience evaluation of passengers in the process of riding urban rail transit based on their subjective feelings. Aiming at the fuzziness in the process of passenger comfort evaluation of urban rail transit, a new method for passenger comfort evaluation of urban rail transit based on the combination of CRITIC method and Cloud model to deal with uncertain information is proposed. It is expected that this method can overcome the subjective problem of index weight selection in fuzzy evaluation and realize the reasonable transformation between qualitative and quantitative problems. The effectiveness and rationality of this method are verified by taking passenger comfort evaluation of a subway line in Hangzhou city as an example. In this way, the application of cloud model in urban rail transit is broadened. Then the measures and suggestions for improving the riding comfort of urban rail transit are putting forward. It lays a certain foundation for further research on riding comfort of urban rail transit.|
|2||Tongji University||Subway Train Onboard Filters|
|This work designs a filter which can be installed at the bottom of subway car. Horn-shaped air inlet and rotatable air inlet door are symmetrically arranged. The air inlet door will open under the wind pressure. A porous baffle is set behind the air inlet door to slow down the wind speed. Dust removal bags are set behind the porous baffle to intercept the particles. A reverse blow pipe is set on the upper position with nozzles on it, through which the compressed air can blow down the particles accumulated outside the bag. A dismountable dust collecting device is set at the bottom to collect particles.
When the subway train runs, the air doors on the windward side open under wind
pressure, and the dusty air in the tunnel enters into the device and hits the baffle. The large particles are separated under the inertial action and fall on the dust collecting device. Then the air collides with the dust remove bags. The purified air flows out from the bag outlet, and then leaves the dust collecting device on the top.This work makes use of the kinetic energy of the subway train when it runs and fan or power supply is needed. It can absorb the particles generated by friction during the subway operation, purify the tunnel environment, and protect the health of subway commuters and staff.
|3||Tongji University||Break the Impasse on Bus System Benefits:Evaluating and Dispatching Methods|
|With the rapid growth of the national economy and the improvement of living standards, people’s travel demand is mushrooming, causing serious traffic jams and air pollution. Public transit priority has become a worldwide consensus, which can reduce the use of private motor vehicles and promote healthy and sustainable urban development. However, with conventional single-type and fixed-route buses following the fixed departure interval, the relatively fixed supply cannot meet the time-varying travel demand. Bus overload and empty driving are both happening. Nowadays, in the era of big data and the Internet of Everything, many refined management methods and innovative service modes are springing up. The accurate and usable evaluating system for supply-demand matching and space-time resource utilization, and the intelligent dispatching methods may become an important breakthrough to improve the efficiency of the public transit system.
Comprehensively considering the two dimensions of time and space, two core indicators of Supply-Demand Matching and Space-Time Occupancy are proposed to describe the degree of matching of travel demand and transportation capability and the degree of occupation of road resources. The proposed dual-objective evaluating system can effectively assess the waste of transportation capability and road resource caused by inefficient dispatching schemes. Furthermore, a new intelligent bus dispatching method and a dispatching system are developed, which can adjust the supply dynamically according to the fluctuating demand. Flexible departure intervals, different bus types and stop-skipping strategies are adopted. Thus, the limited road space-time resources can be used effectively to serve actual demands. The efficiency, level of service and sustainability of the public transit system are expected to be truly improved
|4||Tongji University||Intelligent Auxiliary Decision-making System for Urban Rail Transit Network Operation|
|With the popularization of urban rail transit network operation, the demand for network passenger flow has grown rapidly. At the same time, the contradiction between the demand and the insufficient capacity supply is becoming more and more prominent, which is mainly reflected in the imbalance of network capacity matching and the retention of passenger flow at transfer nodes. The key problem is that in the traditional operation and management model, the compilation of train operation diagram of each line is at the level of independent preparation, without taking into account the dynamic relevance of each line, resulting in the impact of large passenger flows and delays propagated in the network. Faced with this problem, this project analyzes the dynamic correlation mechanism between capacity and demand of each line at the network level. Then this project proposes the concept of "collaborative optimization of train operation plan in urban rail transit network" based on physical network data and train operation diagram data, and is driven by large-scale and high-precision passenger flow data.
Through refinement analysis of the multi-dimensional passenger flow of the network, first, the project proposes a full-day schedule compilation and optimization method to respond to the unbalanced passenger flow in space and time. Then, it proposes a comprehensive optimization and coordination theory for network train operation based on capacity matching degree and train connection. In addition, the project also builds an all-day schedule operation plan maker model (OPM) and an optimization model for network connection scheme (ONC) to form a "Network Operation Decision System" (NODS), which realizes cooperative optimization of the train operation diagrams of all lines in the network. Relevant research has been carried out in many cities in China, to a certain extent, relieving the congestion of large passenger flows in network sections and stations, and improving the travel experience of passengers. So, this project has significant practical value in providing decisions on urban rail transit network operation.
|5||Shanghai University Of Engineering Science||A Portable Intelligent Maintenance Equipment for Rail Wave Grinding|
|This work is an orbital corrugation measurement and analysis system based on the orbital corrugation measurement method, which integrates light weight with good operability and high precision. Combined with Internet of Things technology, wireless WIFI transmission technology, network database management and application technology, power management technology, stepper motor drive management technology, laser sensor data acquisition and transmission technology, it can accurately measure orbital corrugation and synchronize data in complex environments , display and save it in the cloud and give the rail polishing strategy in time to ensure the normal and safe driving of the rail train.|
|6||Shanghai University Of Engineering Science||Passenger compartment temperature and humidity monitoring system for rail transit vehicles|
|This work can embed the temperature measurement cable in each compartment, so that the temperature change of each node in the passenger compartment can be monitored in real time, and then communicate with the command center through the host computer to control the air conditioning and ventilation system, and carry out the control of the individual passenger compartment. The adjustment of temperature and humidity not only achieves the effect of energy saving, but also greatly improves the comfort of passengers. In particular, an extension monitors a carriage, and all data is sent to the command center through the communication host. The operator only needs to select the carriage number and time to see the 3D display effect of the collection point and the curve of the average temperature and humidity during this time period. And adjust the air conditioning system in time to ensure that the temperature and humidity are always in an appropriate state.|
|7||Shanghai University Of Engineering Science||Identification, early warning and dynamic management and control system of urban rail transit passenger flow under large-scale activities|
|Under the background of large-scale activities, the urban rail transit passenger flow fine identification and dynamic management and control system has made an effective solution to more and more large-scale event passenger flow forecasting and evacuation problems. The main function of the system is to predict the changes of passenger flow in rail transit stations in real time, to provide
hierarchical early warning and to provide dynamic control and intelligent dynamic management and control strategies according to the distribution of passenger flow and passenger stations. With the
collection of high and new technologies such as Wi-Fi probe and video portrait recognition, the convolution neural network algorithm
is built into Raspberry Pi to realize the dynamic acquisition of
passenger flow in rail transit stations, so as to evaluate the degree of
passenger flow aggregation and achieve hierarchical early warning.
Finally, according to the different passenger flow levels and the characteristics of passenger distribution in the station, the decision-making scheme of passenger flow hierarchical management
and control is intelligently output, so as to provide auxiliary decision-making for passenger flow evacuation and dynamic control in urban rail transit large-scale event stations. Compared with the
existing products on the market, the system which has a very broad
development prospect with the increasing development of rail transit today improves the accuracy of video passenger flow data, increases the functional design of hierarchical early warning and intelligent dynamic management and control, and improves the prediction accuracy and evacuation efficiency of large passenger flow in rail
transit stations in an all-round way.
|8||Shanghai University Of Engineering Science||Intelligent Decision System for Metro Train Stop Time|
|With the continuous expansion of the scale of urban rail transit in my country, how to effectively manage the huge passenger flow of urban rail transit and shorten the travel time of passengers has become an important issue to be considered in urban development. At present, the planned stop time of the subway is unreasonable, which greatly affects the continuity of passenger travel and increases the waiting time and transit time of passengers. Therefore, it is urgent to improve the punctuality, short-term and planability of the subway.
Different from the current operating chart, the boarding and landing time is mostly subjective and empirical, which cannot meet the reasonable needs of the driver's standardized operation and the passenger's boarding and landing time. Facing the problem of intelligent decision-making for the precise planned stop time of subway trains, the team comprehensively uses Wi-Fi sniffing technology, video image recognition technology and traffic optimization modeling technology to develop intelligent and precise decision-making models and systems for the planned stop time of subway trains, including Three sub-modules: passenger flow monitoring and identification, planned stop time optimization, and planned/actual stop time assessment. The product of the project has been demonstrated and applied in Shanghai subway operating companies, effectively solving the problem of the mismatch between the actual stop time of the subway train and the planned stop time, not only ensuring the scientificity, rationality, and feasibility of the subway train schedule, but also It can save the purchase cost of subway vehicles and the cost of passenger travel time by tens of millions, which has produced huge social and economic benefits. The system can be extended to conventional public transportation, intercity railway and other public transportation fields, and has broad prospects
|9||Shanghai University Of Engineering Science||Rail fastener state detection method based on vision and vibration|
|This work combines visual information and vibration information to detect the status of rail fasteners. Shooting rail fastener images on the spot, segmenting the images in time series based on the structural characteristics of the fasteners, using convolutional neural network to extract image features, classifying the fastener image features in different states, and extracting visual perception feature vectors; The vibration signal at the fastener is measured by following the time sequence of shooting. The signal is classified according to the status of the fastener the vibration. After separating the vibration signal, extracting the feature vector, and the two feature vectors are merged to construct a feature model to detect the status of track fastener.|
|10||Shanghai University Of Engineering Science||Rail surface defect recognition model based on deep learning|
|This study is a rail surface defect recognition model based on deep learning. The first part is an object location algorithm based on deep learning. The second part is a rail surface defect detection based on neural network image saliency algorithm, the third part is to build a terminal system of rail surface defect recognition software.
The first part is based on the modified YOLO rail surface positioning network. According to the characteristics of rail positioning, the YOLO network is modified. Finally, the deviation from the rail center is detected according to the defined standard and threshold.
The second part is the self-designed a rail surface defect detection based on neural network image saliency algorithm. According to the rail surface defect characteristics, the channel weighted block and the residual decoder block are used to fuse the spatial and deep semantic features of the shallow layer respectively and restore the predicted spatial significance value gradually. Finally, the residual fine structure with one-dimensional filter is used to further
optimize the coarse saliency mapping, and the defect significance feature is accurately extracted by the surface image of the background rail extracted in the first part.
The third part is based on the first two parts. The neural network model will be packaged into an end-to-end software terminal system, and finally realize the visualization of the detection results and intelligent detection. It can save the prediction results to achieve the purpose of traceability.
|11||Shanghai University Of Engineering Science||An early warning system for intelligent identification of rail transit operation risks|
|The work is mainly used for the intelligent identification and early warning of the operation risks of rail transit, and its core is to screen the risks and hidden dangers existing in the daily operation of subway stations. The research and development idea is based on the actual situation of rail transit station, to search and find all kinds of risks and safety hidden dangers existing in the station, and to input the risk information into the system and match it with the system database. Database has a history of risk into the risk calculation system, the newly discovered risk need to be defined after the operation, the risk calculation system according to the risk of mining association matrix algorithm and G - Apriori algorithm for calculation and analysis into the risk, and to set the system beyond the threshold of risk according to risk priority two-way feedback to the attendant and passengers, thus to effectively solve the accident and hidden danger and in a timely
manner to evade. Based on the above process, this system aims to identify and analyze the potential or existing risks in the operation of rail transit subway station, and feedback the risk information to relevant personnel, so as to realize the early warning of risks and ensure the safety and stability of the station operation.
|12||Shanghai Maritime University (SMU)||Development of a Secondary Traffic Accident Detection and Early Warning System for Highways|
|The fully enclosed nature of highways, the fast speed of vehicles as well as other factors make it difficult for highway traffic accidents to be dealt with in time, which is often prone to serious casualties caused by secondary accidents. Our group designed a highway secondary accident warning device with the help of a stm32 microcontroller. This device can be installed on vehicles and help monitor the driving status of vehicles. By collecting accident information from other vehicles, it can remind drivers and passengers of the occurrence of secondary accidents as a result. Teamwork is composed of four subsystems: a data acquisition subsystem, a visualization processing subsystem, an information display subsystem and an information release subsystem. Thanks to the advantages of ZigBee communication system, this device is able to adopt both centralized management and decentralized control mode. Each module is independent of one another, reducing control interference and, at the same time, reaching an organic combination between one aother. With the powerful processing ability of STM32 controller, a variety of data are integrated, analyzed and processed for judging the vehicle state. A high-performance sensor can timely and accurately send data back to the STM32 control center, in which the raw data is analyzed and stored. When an accident occurs, the sensor will quickly make a danger judgement which will soon be transmitted to the surrounding vehicles via the information release subsystem so as to prevent the occurrence of secondary accidents as soon as possible.|
|13||Southwest Jiaotong University||Research and development of railway passenger portrait information system based on big data technology (urban agglomeration)|
|The research on passenger image information systems for (city cluster) railways was inspired by the successful application of user image technology in the e-commerce sector, airlines and the current dilemmas faced by passenger marketing in the field of railway and intercity railway:
(1) the supply of passenger transport is not adapted to market demand;
(2) the distribution of capacity resources is not adapted to the requirements of transport organisation;
(3) the production organisation model is not adapted to the needs of train operations. The current railway (intercity railway) passenger marketing system is based on traditional report analysis and statistics, which is not sensitive enough to analyse changes in passenger demand, not supportive enough for passenger planning, and not sufficiently utilising the extensive passenger data accumulated The theory of user portrait has formed a set of mature solutions, but the research on passenger portrait information system for railway transportation is still at the initial stage. Therefore, this project's introduction of the user image system into the railway passenger transport sector is an in-depth integration of cutting-edge information technology and the railway industry, as well as a powerful means of adapting to the diversified passenger transport needs,
accurately matching transport supply and demand and shaping the quality of public transport services. The railway passenger image information system research is divided into two stages: the first stage is to develop a railway passenger image information system. The first phase is to develop the railway passenger image information system. In this phase, the deficiencies of the existing passenger marketing system are investigated and analysed, a passenger image labeling system and a high-dimensional heterogeneous incremental data flow clustering algorithm are constructed, an information system analysis platform is built based on big data components such as Hadoop and Spark, and cutting-edge technologies such as big data, artificial intelligence and stream computing are combined to complete the development, testing and maintenance of the system. The second stage is the promotion and application of the railway passenger profile information system. Based on data mining techniques, the system generates statistical reports and carries out visualisation and analysis, thus realising accurate marketing of passenger travel and assisting the management of railway passenger marketing in decision-making. On the basis of this system, secondary development will be carried out to complete passenger flow demand prediction, real-time analysis of travel characteristics, real-time analysis of mobility characteristics between city groups and other functional development. The research team takes care of user privacy and prepares privacy notes.
|14||Soochow University||Research on Route Choice for Rail Transit Passenger|
|Under the background of urban rail transit network operation, the one ticket system and seamless transfer mode bring convenience to rail transit passengers, but also bring challenges to operation management. Only analyzing OD data can not grasp the specific travel path and passenger flow distribution law of passengers in the rail transit network, so it is particularly important to grasp the behavior law of passenger route selection in rail transit network.
① The node of rail transit station is divided into several nodes, and the expressions of parking arc and transfer arc are added. On this basis, the topological model of rail transit network is established.
② Through the depth first search algorithm, the reason why the effective path contains unreasonable road sections is found out. A method to determine the redundant road sections based on the sequence of transfer nodes is proposed.
③ Quantitative analysis of rail transit network familiarity, travel time, transfer times, transfer walking distance and congestion degree on passenger route choice.
④ Considering the influence of congestion degree and transfer times in the generalized route cost, the congestion coefficient is redefined to make it more suitable for the actual passenger flow. MSA algorithm is used to solve the problem of passenger flow assignment in rail transit network.
⑤ Python language is used to realize the whole rail transit network path search algorithm and network passenger flow assignment model. The calculation results of Suzhou rail transit show that the research results have good basic value in practical application.
⑥ This paper uses the neural network algorithm to comprehensively consider the distribution results and the existing passenger travel data, and obtains the passenger flow path prediction results based on short-term prediction, which has guiding significance for passenger travel, such as reminding passengers of the current network congestion status and realizing more effective traffic system management.
|15||Soochow University||Intelligent Monitoring and Risk Warning System for Shield Construction of Urban Rail Transit|
|This work is to develop an intelligent monitoring and warning system tailored for the shield construction of urban rail transit， which combines multi-source data, geographic information system (GIS), building information model (BIM) and machine learning (ML). The system provides a digital platform to display the process of shield tunneling, and the main functions include data collection, construction monitoring and risk warning by using sensor technology, internet of things (IoT) and big data analysis. The proposed system aims to visualize the shield construction of the urban rail transit, improve the efficiency of monitoring data processing, provide timely risk warning, and eventually realize intelligent management on the construction site.|
|16||Soochow University||Rail Transit Passenger Flow Estimation System Based on Machine-Vision Regression Integration Model|
|The section passenger flow statistics of rail transit is the basis of accurate prediction and impact assessment of future rail transit large passenger flow. The existing passenger flow measurement technologies such as infrared sensor and pressure spring have obvious defects in cost control and passenger flow statistics error. This project provides a rail transit section passenger flow estimation scheme based on machine vision and spatial grid, and realizes intelligent passenger flow monitoring with high cost performance. Aiming at the problem of single video data, this project combines the federal learning and integration strategy. We use Fast RCNN, FCHD and Yolov3 algorithm to detect the head features, and completes the rapid detection of passengers in small targets and occlusion scenes. The spatial grid generation method makes up for the deficiency of vision detection ability in remote and occlusion, and realizes the estimation of vehicle passenger flow. The test results show that the federal machine vision detection method can adapt to the light weight and fast passenger flow detection in the rail transit carriage environment, and the passenger flow estimation of the vehicle is similar to the actual operation situation. Compared with the methods of infrared induction, radio frequency and pressure spring, the method of this project does not need to add additional monitoring equipment without reducing the statistical accuracy, which effectively controls the application cost.|
|17||Dalian Maritime University||Design and Optimization of Demand Responsive Transit System Considering ECO-Routing Strategy|
|The transportation industry is experiencing crisis of oil shortage and serious greenhouse gas emission. Especially, until 2040, road transportation is estimated to account for 43% of total transportation oil demand which will be the largest sector of oil consumption. And then, the produced carbon emission will occupy about 25% of total emission over the world, and turns to be a major source of environmental pollutants. Specially, the eco routing is inspired with a great potential to be effective measure of improving fuel economy and saving the environment in the near term both at the operative and tactical levels. The eco-routing aims at optimizing an environmental path with a minimum consumption of gasoline. To this end, various types of useful guidance was proposed, such as, driver behavior training, intersection management and vehicle longitude trajectory optimization. In recent years, with rapid development of Connected Vehicle (CV) Technology and more new investigations in Driving Navigation Systems, the driving can significantly profit from various types of Connected Vehicle data, likely, traffic state, geometric design (especially about terrain information), signal timing and etc., that would directly raise more conveniences and lay a solid foundation for more advanced eco-routing systems.
However, the applications about eco routing strategy in transit system are quite rare for now. It might be due to the fact that traditional buses run at a fixed-route constrained by the pre-defined schedules. Thus, lack of capability of rerouting dynamically has narrowed the application range in conventional transit system to some extent. Nevertheless, the situation changes when it comes to demand responsive transit (DRT) that is designed to offer flexible and personalized transit services, in which buses will be dispatched with dynamically modified routes and schedules for meeting different types of riding preferences, such as boarding time windows and destinations. The working mechanism of DRT services is naturally assigned with more spaces to be embedded with eco routing system that is expected to offer an optimized environment-friendly routing plan with maximum fuel efficiency and minimum emission.
Note that, different from general traffic, applying eco routing into DRT should be restricted by a series of DRT operational requirements, especially about passengers’ preferences of riding requests, therefore, a fundamental question is further raised under such circumstance: how can we propose the specialized eco routing techniques under the context of DRT operational framework. To our knowledge, the literature remains silent on such significant subject as all of the previous works about DRT design problem concentrate in finding a shortest routing plan considering user preferences while all environmental impacts are neglected, may leading to unnecessary extra fuel consumption and more emissions. In light of the above, and also in order to further specializing the state-of-the-art of eco routing techniques for serving transit system, the present paper contributes to:
developing a DRT-oriented eco-routing framework in which the module of vehicle dynamics and vehicle emission are integrated into the optimization of velocity profile for DRT services within DRT operational framework;
minimization of fuel consumption and emission in response to the complicated traffic conditions and different types of road geometric design when design of DRT routing and scheduling plans;
proposing an efficient solution algorithm for reducing computational burden in preparation for future on-road applications.
|18||Shenzhen University||Driving simulation of tunnel lighting system based on driving simulation and visual comfort of metro vehicle drivers|
|The topic of this work is to study the visual impact of tunnel lighting on urban rail drivers. The tunnel driving scene is modeled by UC-Winroad software, and the experiment is carried out by using eye tracker. The tunnel lighting conditions are changed by constructing different lighting distances and brightness, and the results of the influence on the driver's vision under different lighting environments are obtained. The driving comfort is obtained by analyzing the variation rate of the driver's pupil diameter. After data analysis, the influence of the tunnel lighting environment on the driver's vision is obtained to ensure the driver's comfort and safety.|
|19||Liaoning Railway Vocational and Technical College||Construction of barrier free travel service system for railway special care passengers|
|Under the background of globalization, the human rights of vulnerable groups is a hot issue of universal concern in the world. With the "people-oriented" concept proposed in China, ensuring the safe and convenient travel of vulnerable groups is an important measure to comply with the development trend of international human rights protection and build harmonious society in China. China's "railway passenger transport service quality standard" points out that special key railway passengers refer to the key passengers who need special care such as relying on auxiliary equipment to move, including the elderly, pregnant women, children, and vulnerable groups such as the blind, the deaf and the dumb, and the disabled. The purpose of this project is to investigate and analyze the travel demand characteristics of special key passengers in station and train by referring to national and industrial standards, combining with railway passenger travel activities, behavior, streamline, demand, etc., put forward the construction strategy of railway station and train barrier free facilities and equipment, create convenient and safe barrier free streamline organization, optimize railway barrier free service mode, and build service groups construction, management and assessment system, strengthen the barrier free information service of stations and trains, so as to build a humanized service system of "old" equipment + new technology, hard facilities + soft service and humanized service system of people, materials, information and systems including system, process, facilities, equipment, to improve the station and train service. From the actual needs of special key passengers, the service quality provide active service for the barrier free travel of special key passengers, pay full attention to the service needs of special key passengers, and provide support conditions for their free, self-help, free and independent travel.|
|20||Hebei Jiaotong vocational and Technical College||Research on A new centrifugal air compressor for hydrogen fuel cell|
|Haze problem puzzles people's life. As one of the main pollution sources of haze, automobile exhaust emission has received more and more attention. The development of an efficient, energy-saving green and clean energy vehicle has become an urgent problem for auto enterprises. The birth of hydrogen fuel cells has turned this possibility from a dream into a reality. The basic principle of hydrogen fuel cells is to use the chemical reaction of hydrogen and oxygen to convert chemical energy into electric energy. The emission is only water and heat, because there is no carbon emission, so it is considered to be the most promising energy source.
For the whole hydrogen fuel system, if the fuel cell is compared to the human body, the reactor is the "heart ", and the air compressor is the" lung "of the fuel cell, providing pressure and clean air in the fuel system. Provide the necessary oxygen for reactor reaction. It can be seen that the development of a high efficiency, small volume, high reliability of hydrogen fuel air compressor is particularly important.
This project developed a new type of centrifugal air compressor. The motor part is driven by two-stage permanent magnet motor, and the speed can reach 95000r / min. The bearing part adopts air bearing to realize the air compressor without oil and low noise and high efficiency.
|21||Wuyi University||Research on integrated Ticketing Scheme and System under Intercity Railway and Urban Rail Transit Integrated Operation Mode|
|The metropolitan area is a special regional spatial organization. It is an urbanized spatial form centered on a large city with strong radiation and driving functions and a one-hour commuting circle as its basic scope. According to the "Guiding Opinions on Cultivating and Developing Modern Metropolitan Areas" issued by the National Development and Reform Commission, it is foreseeable to build a commuter circle with rail transit as the backbone and promote the "four networks" of trunk railways, intercity railways, suburban railways, and urban rail transit. The integrated operation of "intercity railway and urban rail transit" will be an important development direction of the metropolitan area.
It’s realized that the integrated operation of urban rail transit and inter-city railway, enabling passengers to “seamlessly” connect and “one-ticket” program between urban rail transit and inter-city rail, which can reduce passenger transfer time, security checks, and ticket purchases time to purchase tickets, improve passenger travel efficiency, and enhance the experience of rail transit travel mode. In adopting the “intercity-urban rail” integrated operation, the ticketing plan and the implementation of the integrated ticketing system are one of the key elements to realize the “intercity-urban rail” integrated operation.
To this end, we will study key issues such as the collaborative cooperation model of multiple operating entities, integrated operation, integrated ticketing solutions, integrated operating cooperation revenue distribution and other key issues, and build an integrated operation integrated ticketing simulation experiment platform for intercity railway and urban rail transit to achieve engineering Design and application.
|22||Wuyi University||Shunting push operation safety monitoring equipment|
|The shunting and pushing operation in domestic depot has always been a key and difficult problem in the safety management of railway administration. Ensuring the safety of shunting and pushing operation has become an urgent demand of railway safety management. This paper mainly studies what kind of equipment can be used to ensure the safety of shunting and pushing operation. In the process of shunting operation, it is necessary to ensure the normal shooting of front-end equipment and reduce the error rate. Through on-the-spot investigation, the data of open shed tank car is collected, and its hardware structure is designed and analyzed in SolidWorks, which is used for placing and fixing the front-end equipment at the coupler; in the software design, the image obtained by dynamic camera acquisition is transmitted to the driver's computer wirelessly for the driver to clear Chu saw the dynamic situation of the track and the front of the push, and used the deep learning convolution neural network and the foreign matter distance detection algorithm to process the image, get the results and feed back to the driver's computer, warn the driver whether there is foreign matter in front of him and the distance between the vehicle in front of him and the foreign body, assist the driver to control the speed of the vehicle, intelligently complete the operation task and ensure the safety of the operation. Finally, it was tested in Wuxi depot of Urumqi Railway Bureau, and the accuracy rate was higher than 95%, which met the requirements of real-time and safety, and was preliminarily recognized by the enterprise.|
|23||Wuyi University||Air Rail Package Fee Scheme|
| 1. This project is dedicated to the design and optimization of air and rail package tickets. It is intended to arrange flights and train schedules through data sharing of railway train and flight information through the interconnection between airlines and high-speed rail group, so that passengers can feel the convenience brought by the integration of air and high-speed rail. On the other hand, the aircraft-railway package promotes the development of information sharing between China's aviation industry and high-speed railway industry. Air railway package tickets have created the interconnection between China's civil aviation and high-speed railway sales platform, and opened the data sharing of railway train number and flight information. The combined travel mode of "aircraft + high-speed railway" is becoming more and more convenient and necessary now.
2. The project will also be connected with "air-rail combined transport". The Frankfurt airport in France is a good example, which is expected to help create our own air-rail combined transport mode, so that the air-rail combined transport of the future trend can better connect with the public. It is of great theoretical value and practical significance to discuss the integrated operation of the air and railway tickets and study the charging scheme of the combined air and railway tickets in order to realize the switch of passengers to multiple places without hindrance. It can provide strategic theory method and practical operation model for the integrated operation of aviation and high-speed railway.
3. The project combined with the actual needs of the public to study the airplane and railway package tickets; Innovatively, delay insurance was added to the design of the airplane and railway package tickets. Give full play to the role of China Railway Group and aviation group, complementary advantages. In addition, the project has also independently designed and developed an APP with an intelligent system, which is currently in the envision stage. There is a flowchart but no actual product has been made yet. The platform will be dedicated to purchase air and railway package tickets, and the software will provide the best solution according to the user's choice.
|24||Wuyi University||Analysis of influencing factors and sensitivity of rail transit passenger volume based on composite attributes|
|This research examines the total urban passenger traffic, the passenger traffic of different urban transportation modes, the completion of fixed investment in urban rail, the railway passenger traffic, the gross domestic product (GDP), the per capita disposable income of residents, the per capita consumption expenditure of residents, domestic tourists, Collect data such as the number of cars per capita, and use SPSS software to conduct a series of statistical analysis to understand the main factors affecting the total passenger volume of the city and its rail transit passenger volume, so as to put forward reasonable suggestions, further improve the results and conduct sensitivity analysis .
First, use descriptive analysis methods to perform simple statistical processing on the data, and then use correlation analysis to study the correlation between rail transit passenger traffic and other influencing factors to determine whether the variables have the conditions for subsequent regression analysis. Immediately after introducing a factor analysis model to reduce the dimensionality of multiple variables, the main influencing factors of rail transit passenger volume in the macroscopic aspect are obtained. Then, the rail transit passenger traffic volume and its common factors are subjected to a corresponding regression analysis, and a linear regression equation with rail transit passenger traffic volume as the dependent variable and the selected variables as the independent variables is obtained. Several data are used to analyze the sensitivity of the equation parameters , And finally provide powerful data support for the management, construction, planning and future passenger flow forecast of urban rail transit.
|25||Nantong University||Yi Tong Chu Xing" -- the core pedestrian skills training system for children based on traffic safety psychology|
|Yi Tong Chu Xing" system is a training system that uses virtual reality technology, aiming at simulating potential risks when children crossing the street, and develops highly simulated traffic situations to improve children's pedestrian skills.
This system uses unity 3D development tools,3ds Max modeling software and HTC Vive virtual reality helmet equipment to develop a traffic safety training system for children crossing the street, which simulates the typical situation of traffic accidents for children in real life. At the same time, it uses reinforcement, connection and other learning principles to contact targeted training around children's lack of pedestrian skills, so that children can personally experience the dangers in the process of crossing the street, master the correct crossing behavior, and finally improve children's crossing skills.
The work constructs three typical task situations of children crossing the street, including the speed and distance perception situation, the children's sight blocking situation, and the children crossing the street in the presence of others. Considering that the traffic situation without traffic lights is complicated, and children are more likely to have traffic injuries, all scenes are designed as without traffic lights. Three situations are targeted to train children's ability to judge the crossing time, to perceive potential risks and to make decisions on crossing the street, including the training of specific pedestrian behavior norms. Combined with the characteristics of children's psychological development, the system highlights the feedback of training and the transfer-ability of effect.
This work has been tested and tried in primary schools, and has a good training effect. The user's evaluation of the system performance is good.The work was also affirmed by Dr. David C. Schwebel, the scientific consultant of the National Center for Injury Prevention and Control.
|26||Nantong University||Virtual simulation system for traffic dilemma situation|
|27||Beijing Jiaotong University||The Intelligent Compilation System for urban rail transit train operational plan|
|More and more attention has been paid to barrier free urban environment, especially to barrier free public transport environment. Barrier free, fairness and social equity have become the goal of improving urban environmental quality and public service quality. Based on the research of barrier free environment of urban public transport travel chain, this work analyzes the problems existing in the current barrier free travel system of urban public transport, puts forward comprehensive intelligent barrier free service optimization suggestions, and advocates a friendly public transport travel environment.
This research puts forward the concept of "BARRIER FREE TRAVEL CHAIN", that is, "Urban community - Urban Road - Bus stop - Bus vehicle system - Public space". It focuses on the elderly, the weak, the sick, the disabled, the pregnant and other inconvenient people, and combines intelligent and ecological design to create a barrier free environment for the whole travel chain.
This research runs through the concept of "comprehensive intelligence" which subdivides the crowd and combs the demand, and provides accurate services, improves effectively the service quality of public transport travel chain through the response of the whole transport system and environment. Intelligent means include but are not limited to NFC information recognition and transmission, diversified sensory participation system, AI robot guidance system, shared scooter, barrier free taxi, etc.
Guided by "humanistic care", the work believes that intelligence will eventually return to the humanistic perspective, and guided by the concept of sustainable development, the work believes that man is the center of sustainable development. This research starts from the subject of barrier-free public transport, cares for people with mobility difficulties, optimizes barrier-free services, and builds a barrier-free public transport travel chain with "warmth and love, care and no micro" from scratch.
|28||Shandong Jianzhu University||Barried-free service research of public transport chain based on comprehensive intelligence|
|The Intelligent Compilation System for urban rail transit train operational plan, is an intelligent transport production system integrating passenger flow perception and analysis, intelligent compilation of transportation scheme and intelligent compilation of train diagram. With the historical and predicted passenger flow OD data as input, and based on the advanced distribution model and the passenger flow allocation algorithm, passenger flow can be estimated and analyzed, and the spatial and temporal distribution characteristics of passenger flow can be grasped accurately. With the passenger flow statistical analysis as input, and considering the capacity of fixed facilities and equipment of rail transit network, the passenger flow and traffic flow are fully coupled to achieve the intelligent compilation of transportation scheme in the condition of complex transport organization mode and dynamic operation and stop scale. Meanwhile, with the transportation scheme as input, fully considering the line type and the location of yard and depot, the integrated generation of timetable and roll stock circulation scheme is worked to complete the rapid compilation of train diagram. The Intelligent Compilation System for urban rail transit train operational plan can meet the requirement about cost control and dynamic passenger flow demand of subway operation companies, balance the operation cost and service quality, facilitate the backtracking of train operational plan compilation, and realize process-based management of train operational plan. In addition, with its complete and friendly interactive functions, the intelligent train operational plan compilation system of urban rail transit can greatly reduce the work of operation planners and assist them to complete transportation and production tasks quickly and efficiently. The urban rail transit of the world is developing rapidly and orderly. The development direction of rail transit in future is intelligence, and The Intelligent Compilation System for urban rail transit train operational plan is an important part of building smart subway and smart city.|
|29||Iioilo Science and Technology University, Iioilo City, Philippines||Smart Multimodal Transportation Mobile Application and Fleet Management System|
|Due to the rapid urbanization, population density and growth of the Philippines, this has led to trafic congestion in roads of major cities throughout the country, according to (Boquet, 2013). The reduction of pravate vehicle dependency is a good pathway to achieve sustainable mobility; it leads to the incresing percentage shares of non-motorized modes and public transport modes that contribute to the improvement of traffic flow, energy-saving,mobile emission abatement, and social equity(Rith, Roquel,et.al, 2020)
Having said, this work aims to improve the Philippines' current transportation dilemma, by using transportation models that integrates old modes to newer tranvel transportatio methodologies towards sustainable and modernized mass transportation systems.
The project is able to address issues in mobility by allowing the user to plan in advance their preferred destination routes. Using computing technologies, the system is ale to determine available modes of transportation to and from the selected destination. Other features such as travel queuing, alternative routes determination, and contactless payment are also made available. The designers introduced a portable wifi stand at the terminal to give date connectivity to passanger without mobile date so they can access the full features of the current technology.
|30||Naresuan University, Chiang Mai University, and Infraplus Co.,Ltd.||Dose asphalt hot-mix recycling provides enough friction|
|Recently, recycled asphalt pavement or reclaimed asphalt pavement (RAP) is increasingly employed as the main source for hot-mix asphalt manufacture. Numbers of past research targeted in evaluating the performance, workability, and constructability of asphalt hot-mix recycling; however, limited numbers of research on road safety aspects have been found. The safety of road and public transport users greatly depend on the frictional characteristics of the road surface. Slippery road surface may cause fatal road accidents to the road and public transport users. Presently, frictional characteristic or skid resistance is conventionally used to identify the current-state level of road safety. The skid resistant of asphalt materials depends on the binder properties, aggregate properties, construction method and quantity, traffic conditions, and climate conditions. Moreover, the skid resistance of pavement surface is degraded or reduce with respected to structural lifetime. According to the beforementioned reasons, the skid resistance of asphalt hot-mix recycling has been studied in this research. The effects of RAP proportions and gradations are also examined. The deterioration of asphalt hot-mix recycling due to traffic is simulated by the accelerated polishing machine. Therefore, the skid resistance of asphalt hot-mix recycling is characterized and compared to those values measured from the conventional hot mix asphalt concrete.|
|31||National University of Singapore||Sustainable Concrete Materials for Transportation Engineering|
|Concrete is the most widely used man-made material in the world and contributes huge amount of CO2. This report aims to develop sustainable concrete from recycled solid waste for transportation engineering. Mechanical and durability properties of concrete with cement replacement of 25% waste glass powder investigated. Previous research shows that glass powder’s pozzolanic reaction is slower and hence takes up to or even longer than 28 days for glass powder concrete’s strength to catch up with ordinary concrete. Hence, the use of silica fume by 5% mass replacement of cement as well as hydrated lime by 5% addition of cement was tested. Since early age strength would be required for on-site concrete casting so that works can proceed, early age strength is one of the important factors to consider for mass use of glass powder incorporated concrete. In terms of durability, alkali-silica reaction expansion tests were also conducted with mortar bars. The effect of glass when used as powder form and how much it results in ASR is also documented to have a check on cracking due to concrete expansion. In addition to testing of the mechanical properties, our team explored the viability of the sample with glass replacement to be used for 3D cementitious printing. This was achieved by testing for the rheological properties of the mix, checking the flowability of the mix with slump flow test and simulated the extrusion of the mix with a syringe to quantify the force required to extrude the mix.|
Project Lead Economy: People's Republic of China
Project Co-Sponsoring Economies: Chile, Hong Kong (China), Indonesia, Papua New Guinea, Peru, Philippines, Thailand, Vietnam