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Simulation and Optimization for Railway Operations Management
2018
Journal of Advanced Transportation
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In the paper titled "A Short Turning Strategy for Train Scheduling Optimization in an Urban Rail Transit Line: The Case of Beijing Subway Line 4" by M. ...
Two case studies are carried out based on the data of Beijing subway line 4. ...
In the paper titled "A Short Turning Strategy for Train Scheduling Optimization in an Urban Rail Transit Line: The Case of Beijing Subway Line 4" by M. ...
doi:10.1155/2018/4896748
fatcat:rbv7maohk5ebliyzhrxrqwqaqq
A Study on Short-Term Passenger Flow Forecasting for Urban Rail Transit
2023
Highlights in Science Engineering and Technology
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At the same time, the subway is the most convenient and widely used mode of transport for people today. The purpose of this paper is to forecast passenger traffic in the subway. ...
Short-term forecasts of light rail traffic are an indispensable basis for adjusting timetables in real time, improving operational efficiency and providing passengers with informed travel recommendations ...
Methods
Data Source and Description The research in this paper selects Beijing subway inbound and outbound data, covering May 12 to May 22, 2018, involving 47 subway lines, 646 stations, and about 60 ...
doi:10.54097/grp4s909
fatcat:mjob7fvrqbaszfanctathynxiq
A Neural Network Model for Calculating Metro Traction Energy Consumption
2017
DEStech Transactions on Environment Energy and Earth Science
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Results indicate that the model can predict traction energy consumption of a single metro line with high accuracy. ...
subway lines. ...
Data Collection The model data is of a subway line at a big city in China during January, 2010 and May, 2013. ...
doi:10.12783/dteees/peem2016/5023
fatcat:yvbwj2tz5ne7pooafhyuqqwozi
Study on the Price Elasticity of Demand of Beijing Subway
2013
Journal of Traffic and Logistics Engineering
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We focus on the price elasticity of travel demand of Beijing Subway, in order to point out the relationship between them. ...
Abstract-With the gradually development of Beijing Subway network, passenger volume grows fast and the government bear more and more subsidies. ...
Our future study aims to establish a model that can predict the price elasticity of Beijing subway; after this work have been done, we want to work out a practical price scheme for Beijing subway. ...
doi:10.12720/jtle.1.1.25-29
fatcat:nw4isbudfvgwrc75mh2orgcvcu
Shared Bicycle Distribution Connected to Subway Line Considering Citizens' Morning Peak Social Characteristics for Urban Low-Carbon Development
2021
Sustainability
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At last, a case study is conducted on the distribution of shared bicycles in Beijing Subway Line 13 of China during the morning peak hours. ...
In this paper, an integer linear program model (ILPM) is proposed to obtain an optimal low-carbon distribution plan of shared bicycles connecting with the subway line (SBCSL) during the morning peak hours ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/su13169263
fatcat:poz7pqvdfjed7ajvjsmyhtaeeq
Air conditioning predictive control for rail transit vehicles based on load prediction
2020
E3S Web of Conferences
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This paper proposes a predictive control method for rail vehicle air-conditioning systems. Due to heat transfer and diffusion, the air-conditioning system is a long-time-delay system. ...
In the study, variance analysis of environmental factors is performed to improve the accuracy of the load prediction system, and the mean relative error (MRE) of the prediction reached 0.0112. ...
Acknowledgments This research was funded by the National Key R&D Program of China, grant number 2017YFB1201105. ...
doi:10.1051/e3sconf/202016504071
fatcat:2tkenezzrrg7vpx5lv5zvnrgi4
Travel-Energy-Based Timetable Optimization in Urban Subway Systems
2023
Sustainability
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The model is applied to the Yi-zhuang line in the Beijing subway system to obtain a passenger-oriented energy-minimizing timetable. ...
Timetable optimization for urban subways is aimed at improving the transportation service. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/su15031930
fatcat:zg2uqdl3wfbqdh4sbsppoem7i4
Soft Sensor with Deep Learning for Functional Region Detection in Urban Environments
2020
Sensors
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Some studies have used point of interest (POI) data and smart card data (SCD) to conduct subway station classifications; however, the unity of both the model and the dataset limits the prediction results ...
In the built environment stage, the POI and OTO features are extracted, and a deep neural network with stacked autoencoders (SAE–DNN) model is used to get the output of stage 2. ...
At the end of July 2017, there were 20 Beijing subway lines under construction, totaling 354.8 km 2 .
Figure 4 . 4 Figure 4. Beijing rail transit lines [49].
Figure 4 . 4 Figure 4. ...
doi:10.3390/s20123348
pmid:32545653
fatcat:5ijfyxp3nbeu5e4bb4qe25rg54
An Empirical Research on the Impact of Passenger Consumption Characteristics on the Supporting Commercial Facilities of Rail Transit Integrated Transfer Hubs: Taking Beijing and Tianjin as an Example
2022
International Transactions on Electrical Energy Systems
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respectively, and the regression model of five consumption characteristics is obtained, which lays a foundation for the optimization and improvement of the commercial layout of the integrated transfer ...
In this paper, passengers of major rail transit integrated transfer hubs in Beijing and Tianjin are selected as samples, and combined with questionnaire survey and data statistics, the consumption characteristics ...
By the end of 2021, Beijing has opened 27 urban rail transit lines with an operating mileage of 783 km. ...
doi:10.1155/2022/9794487
fatcat:aefovlrcrjfxhinsveu5qg3is4
Analysis of The Effect of Subway Operation on The Vibration of Buildings Along the Line Based on Edge Computing
2020
IEEE Access
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The vibration effect of subway train operation on the adjacent building structure has become one of the outstanding problems in the development of urban underground rail transit and the construction facilities ...
This method can provide scientific reference and basis for the exhibition of modern subway technology. ...
THE VIBRATION MECHANISM OF SUBWAY OPERATION Rail transit is divided into three categories: elevated lines, ground lines, and underground lines. ...
doi:10.1109/access.2020.3022704
fatcat:sekxnmeturdr7jmkgttmnbl4s4
Spatial Heterogeneity Analysis for Influencing Factors of Outbound Ridership of Subway Stations Considering the Optimal Scale Range of "7D" Built Environments
2022
Sustainability
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The results can provide an important theoretical basis for the prediction and analysis of demand of ridership at subway stations and the integration of the built environment around the stations. ...
The accuracy of the regression model of ridership of subway stations depends on the scale range of the built environment around the subway stations. ...
The results can provide an important theoretical basis for prediction and analysis of ridership demand at subway stations, also for the integration of built environment around the stations in Beijing. ...
doi:10.3390/su142316314
fatcat:iuwxxxmb75czrfefw3cqykciea
Optimal Locations of Bus Stops Connecting Subways near Urban Intersections
2015
Mathematical Problems in Engineering
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The Xizhimen bus stop is selected to implement case studies for verifying the validity of the proposed model. ...
The results show that the proposed model is capable of optimizing the locations of bus stops connecting subways near intersections and helpful to improve the level of passengers service and operational ...
Acknowledgments The authors are grateful to the National Basic Research Program of China (2012CB725406) and the National Natural Science Foundation of China (71001006 & 71131001) for their financial supports ...
doi:10.1155/2015/537049
fatcat:fgvbjklt6rg4tfnrcvwkelt6hq
A Deep Learning Model with Conv-LSTM Networks for Subway Passenger Congestion Delay Prediction
2021
Journal of Advanced Transportation
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When urban rail transit is faced with a large number of commuter passengers during peak periods, passengers are often waiting for the next train because the subway is running at full load, which causes ...
The effectiveness of the method is verified by a case study of the Chongqing Rail Transit. ...
Acknowledgments e authors thank Chongqing Rail Transit (Group) Co., Ltd., for providing the necessary data. is research was supported by the National Key Research and Development Program of China (2017YFB1200702 ...
doi:10.1155/2021/6645214
fatcat:ykctddfwjzclhmionvgwmb6tim
Data-Driven Approaches to Mining Passenger Travel Patterns: "Left-Behinds" in a Congested Urban Rail Transit Network
2019
Journal of Advanced Transportation
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The station time parameters, including access/egress and transfer walking-time parameters, are important inputs for the model. ...
The methodology is applied to a case study using AFC and AVL data from the Beijing URT network during peak hours to test the proposed model and algorithm. ...
4 → Line 2
219
225
2.74%
Xuanwumen Line 4 → Line 2
240
229
4.58%
Table 6 : 6 Station parameters expectation at each subway station. ...
doi:10.1155/2019/6830450
fatcat:lao4yoxiwrd4zad2pgz5du7tbm
CPT Model-Based Prediction of the Temporal and Spatial Distributions of Passenger Flow for Urban Rail Transit under Emergency Conditions
2020
Journal of Advanced Transportation
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Finally, taking Beijing as an example, this paper analyzes passenger travel behavior under emergencies based on multiple logistic regression models and analyzes the impact of emergencies on rail transit ...
It is of great practical significance to accurately predict the urban rail transit passenger flow and carry out research on its temporal and spatial distributions under emergency conditions. ...
BX20190029), and the State Key Laboratory of Rail Traffic Control and Safety (Contract no. RCS2020ZZ002). ...
doi:10.1155/2020/8850541
fatcat:6o6zljqjejcs7ifsf2it7fysv4
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