scholarly journals Construction and Application of Cloud Platform for Urban Rail Transit

2020 ◽  
Vol 6 (3) ◽  
pp. 57
Author(s):  
Shun Li
Keyword(s):  
Urban Traffic ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Construction Process ◽  
Cloud Platform ◽  
Urban Rail ◽  
Key Factor ◽  
System Establishment ◽  
Construction Mode

<p>Rail transit is a new form of transportation in the process of modern urban development. It has a far-reaching impact on improving urban traffic environment, relieving urban traffic pressure and improving urban traffic service quality. The rail transit cloud platform is an important part of modern rail transit, and it is also a key factor related to the construction quality of urban rail transit. In this paper, the current situation of construction and application of urban rail transit cloud platform are introduced in detail, and the related standard compilation of urban rail transit cloud platform, achievements in the development and construction process, construction mode, index establishment, acceptance process optimization, cloud operation and maintenance system establishment and other issues are systematically expounded. According to the technical drive and standard compilation of urban rail transit cloud platform, the development of urban rail transit cloud platform is prospected.</p>

Collaborative passenger flow control of urban rail transit network considering balanced distribution of passengers

2021 ◽  
pp. 2150461
Author(s):  
Xiang Li ◽  
Yan Bai ◽  
Kaixiong Su
Keyword(s):  
Flow Control ◽  
Programming Model ◽  
Flow Characteristics ◽  
Service Level ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Control Measures ◽  
Rail Transit ◽  
Passenger Flow ◽  
Urban Rail

The increase of urban traffic demands has directly affected some large cities that are now dealing with more serious urban rail transit congestion. In order to ensure the travel efficiency of passengers and improve the service level of urban rail transit, we proposed a multi-line collaborative passenger flow control model for urban rail transit networks. The model constructed here is based on passenger flow characteristics and congestion propagation rules. Considering the passenger demand constraints, as well as section transport and station capacity constraints, a linear programming model is established with the aim of minimizing total delayed time of passengers and minimizing control intensities at each station. The network constructed by Line 2, Line 6 and Line 8 of the Beijing metro is the study case used in this research to analyze control stations, control durations and control intensities. The results show that the number of delayed passengers is significantly reduced and the average flow control ratio is relatively balanced at each station, which indicates that the model can effectively relieve congestion and provide quantitative references for urban rail transit operators to come up with new and more effective passenger flow control measures.

scholarly journals Low-Carbon Impact of Urban Rail Transit Based on Passenger Demand Forecast in Baoji

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 782
Author(s):  
Na Zhang ◽  
Zijia Wang ◽  
Feng Chen ◽  
Jingni Song ◽  
Jianpo Wang ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Quantitative Research ◽  
Carbon Emission ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Low Carbon ◽  
Demand Forecast ◽  
Passenger Demand ◽  
Urban Rail

There are increasing traffic pollution issues in the process of urbanization in many countries; urban rail transit is low-carbon and widely regarded as an effective way to solve such problems. The passenger flow proportion of different transportation types is changing along with the adjustment of the urban traffic structure and a growing demand from passengers. The reduction of carbon emissions brought about by rail transit lacks specific quantitative research. Based on a travel survey of urban residents, this paper constructed a method of estimating carbon emissions from two different scenarios where rail transit is and is not available. This study uses the traditional four-stage model to forecast passenger volume demand at the city level and then obtains the basic target parameters for constructing the carbon emission reduction model, including the trip origin-destination (OD), mode, and corresponding distance range of different modes on the urban road network. This model was applied to Baoji, China, where urban rail transit will be available from 2023. It calculates the changes in carbon emission that rail transit can bring about and its impact on carbon emission reductions in Baoji in 2023.

scholarly journals Design a Semantic Scale for Passenger Perceived Quality Surveys of Urban Rail Transit: Within Attribute’s Service Condition and Rider’s Experience

2020 ◽  
Vol 12 (20) ◽  
pp. 8626
Author(s):  
Weiya Chen ◽  
Zixuan Kang ◽  
Xiaoping Fang ◽  
Jiajia Li
Keyword(s):  
Reliability And Validity ◽  
Service Condition ◽  
Perceived Quality ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit System ◽  
Urban Rail ◽  
Service Conditions ◽  
Heterogeneous Service

A better understanding of passenger perceived quality helps urban rail transit managers adopt better strategies to improve the service quality of urban rail transit, which is beneficial to the sustainable development of an urban rail transit system itself and cities. This paper designs a semantic scale to survey passenger perceived quality of urban rail transit. The methodology is selecting specific features of an attribute and then describing the features to present the attribute’s service condition and the rider’s experience. The scale’s options can reduce cognitive steps and hesitation for riders to answer the survey questionnaire. Furthermore, it enables urban rail transit managers to understand passenger perceived quality more visually. After verifying the reliability and validity of the semantic scale, an empirical study was conducted to compare the evaluation results of the proposed semantic scale, Likert, and numeric scales. Compared to the Likert and numeric scales, the evaluation result of the semantic scale is fairer for attributes with homogeneous service conditions over operation periods from the transit agency perspective. Meanwhile, it is more homogeneous for attributes with homogeneous service conditions and is more heterogeneous for attributes with heterogeneous service conditions.

Research on Walking Time of Transfer Pedestrians in Urban Rail Transit Station

2014 ◽  
Vol 610 ◽  
pp. 1053-1056 ◽  
Author(s):  
Jin Chu Zheng ◽  
Chang Xu Ji ◽  
Long Gao
Keyword(s):  
Traffic Congestion ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Statistical Point ◽  
Practical Applications ◽  
Urban Rail ◽  
Basic Work ◽  
Transit Station ◽  
Walking Time

The urban rail transport is the backbone of urban public transport. It alleviates urban traffic congestion and plays an important role. Survey and determination of the passenger walking time in urban rail transit station passages is the basic work to realize train coordination between lines and to reduce the passenger waiting time in transferring. The paper focuses on the passenger walking time on transfer pedestrians from the statistical point of view. Finally, Beijing Dongdan transfer station is selected as an example. This study has some practical applications.

scholarly journals Short-term passenger flow forecast for urban rail transit based on multi-source data

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Wei Li ◽  
Liying Sui ◽  
Min Zhou ◽  
Hairong Dong
Keyword(s):  
Traffic Flow ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Support Vector ◽  
Rail Transit ◽  
Short Term ◽  
Passenger Flow ◽  
Flow Prediction ◽  
Urban Rail ◽  
Svm Model

AbstractShort-term passenger flow prediction in urban rail transit plays an important role because it in-forms decision-making on operation scheduling. However, passenger flow prediction is affected by many factors. This study uses the seasonal autoregressive integrated moving average model (SARIMA) and support vector machines (SVM) to establish a traffic flow prediction model. The model is built using intelligent data provided by a large-scale urban traffic flow warning system, such as accurate passenger flow data, collected using the Internet of things and sensor networks. The model proposed in this paper can adapt to the complexity, nonlinearity, and periodicity of passenger flow in urban rail transit. Test results on a Beijing traffic dataset show that the SARI-MA–SVM model can improve accuracy and reduce errors in traffic prediction. The obtained pre-diction fits well with the measured data. Therefore, the SARIMA–SVM model can fully charac-terize traffic variations and is suitable for passenger flow prediction.

scholarly journals A Short Turning Strategy for Train Scheduling Optimization in an Urban Rail Transit Line: The Case of Beijing Subway Line 4

2018 ◽  
Vol 2018 ◽  
pp. 1-19 ◽  
Author(s):  
Miao Zhang ◽  
Yihui Wang ◽  
Shuai Su ◽  
Tao Tang ◽  
Bin Ning
Keyword(s):  
Urban Traffic ◽  
Urban Rail Transit ◽  
Mixed Integer ◽  
Rail Transit ◽  
Train Scheduling ◽  
Passenger Demand ◽  
Urban Rail ◽  
Train Services ◽  
Minlp Model ◽  
Beijing Subway

In urban rail transit systems, train scheduling plays an important role in improving the transport capacity to alleviate the urban traffic pressure of huge passenger demand and reducing the operation costs for operators. This paper considers the train scheduling with short turning strategy for an urban rail transit line with multiple depots. In addition, the utilization of trains is also taken into consideration. First, we develop a mixed integer nonlinear programming (MINLP) model for the train scheduling, where short turning train services and full-length train services are optimized based on the predefined headway obtained by the passenger demand analysis. The MINLP model is then transformed into a mixed integer linear programming (MILP) model according to several transformation properties. The resulting MILP problem can be solved efficiently by existing solvers, e.g., CPLEX. Two case studies with different scales are constructed to assess the performance of train schedules with the short turning strategy based on the data of Beijing Subway line 4. The simulation results show that the reduction of the utilization of trains is about 20.69%.

Urban Rail Transit Types and Single Wire on the Propagation Law of Delays

2016 ◽  
Vol 835 ◽  
pp. 763-766
Author(s):  
Dong Xue Zhang ◽  
Yan Hui Wang ◽  
Ya Fei Wang
Keyword(s):  
Rapid Development ◽  
Recursive Formula ◽  
Urban Rail Transit ◽  
Living Standard ◽  
Rail Transit ◽  
Urban Rail ◽  
Propagation Law ◽  
Politics And Culture ◽  
Several Delays

Along with our country, a steady and rapid development of economy, politics and culture, the traffic also got rapid development with the trend. The improvement of people's living standard in our country, more and more frequent transportation also emerged, the requirement for the quality of travel people also put forward higher requirements; Therefore, as a responsible for the daily commuter traffic tools, urban rail transit train delay problem should give our attention. The types of urban rail traffic delay is described in this paper, including the initial delay and joint and several delays, and expounds the time characteristics and spatial characteristics of delays, and the urban rail transit delays was studied, on the single line shows the single delays the transmission of the recursive formula, for the delay of the urban rail transit emergency disposal provides theory basis.

Research on the Layout of the Integrative Urban Rail Transit Line Station

2013 ◽  
Vol 409-410 ◽  
pp. 1222-1229 ◽  
Author(s):  
Zhen Lv ◽  
Dong He ◽  
Hua Fei Jia ◽  
Cheng Bing Li
Keyword(s):  
Simulated Annealing Algorithm ◽  
Programming Model ◽  
Urban Traffic ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Total Consumption ◽  
Transit System ◽  
Passenger Rail ◽  
Urban Rail ◽  
The City

Because there are some differences in operation management body and investment body between city railway/suburban railway and other modes of transportation of urban rail transit, reasonable coordination and effective connection cant achieve in various modes of transportation of urban rail transit, resulting in not only wasting national limited traffic resource, but also bringing so much inconvenience to the traveling passengers. Under this background, the author proposes the alternative use mode of building integrative urban passenger rail transit system and their definitions. Then, the bi-level programming model of the integrative passenger rail transit line station layout based on the alternative use mode is established. Whats more, the simulated annealing algorithm is used to solve it. Finally, a numerical example shows that the pattern of multi-point stopping under alternative use mode is beneficial to reduce total consumption of passenger agglomeration and shorten the passenger traveling time, at the same time it is more beneficial to ease the urban traffic pressure (especially the city ground traffic).

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