Dynamic assignment model of trains and users on a congested urban-rail line

2020 ◽  
Vol 14 ◽  
pp. 100178 ◽  
Author(s):  
Alexis Poulhès
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Qin Luo ◽  
Yufei Hou ◽  
Wei Li ◽  
Xiongfei Zhang

The urban rail transit line operating in the express and local train mode can solve the problem of disequilibrium passenger flow and space and meet the rapid arrival demand of long-distance passengers. In this paper, the Logit model is used to analyze the behavior of passengers choosing trains by considering the sensitivity of travel time and travel distance. Then, based on the composition of passenger travel time, an integer programming model for train stop scheme, aimed at minimizing the total passenger travel time, is proposed. Finally, combined with a certain regional rail line in Shenzhen, the plan is solved by genetic algorithm and evaluated through the time benefit, carrying capacity, and energy consumption efficiency. The simulation result shows that although the capacity is reduced by 6 trains, the optimized travel time per person is 10.34 min, and the energy consumption is saved by about 16%, which proves that the proposed model is efficient and feasible.


2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Yu-Ting Zhu ◽  
Bao-Hua Mao ◽  
Lu Liu ◽  
Ming-Gao Li

To design an efficient and economical timetable for a heavily congested urban rail corridor, a scheduling model is proposed in this paper. The objective of the proposed model is to find the departure time of trains at the start terminal to minimize the system cost, which includes passenger waiting cost and operating cost. To evaluate the performance of the timetable, a simulation model is developed to simulate the detailed movements of passengers and trains with strict constraints of station and train capacities. It assumes that passengers who arrive early will have more chances to access a station and board a train. The accessing and boarding processes of passengers are all based on a first-come-first-serve basis. When a station is full, passengers unable to access must wait outside until the number of waiting passengers at platform falls below a given value. When a train is full, passengers unable to board must wait at the platform for the next train to arrive. Then, based on the simulation results, a two-stage genetic algorithm is introduced to find the best timetable. Finally, a numerical example is given to demonstrate the effectiveness of the proposed model and solution method.


2012 ◽  
Vol 253-255 ◽  
pp. 1695-1699
Author(s):  
Miao Cui ◽  
Tie Xin Cheng ◽  
Jing Zhu Chen

As the city’s economic and cultural center, the urban Central Commercial Districts (CCDs) are rapidly developing, which always brings the heavy traffic jam in the city. In this paper, the traffic flow of CCDs was analyzed, and the traffic flow guidance evaluation model was established. Firstly, according to the travel time function, traffic flow was allocated to the road network of the CCDs by the dynamic assignment model, and the heavy-traffic roads were identified. Then, traffic flow guidance measures mainly including forbidding straight, left turn, or right turn were given, and the evaluation model above was applied to select the optimal measure. Finally, with VISSIM simulation software, the model was applied to the Tianjin Binjiangdao CCD, which illustrated that the satisfied guidance measure can be selected effectively.


2013 ◽  
Vol 361-363 ◽  
pp. 1963-1966
Author(s):  
Wei Zhu

An integrated assignment model for urban rail transit (URT) networks was proposed and discussed in four typical scenarios with the consideration of passenger difference between native and non-native. An overall algorithm framework for the model was also developed, which introduced three critical route choice models and combined them appropriately to different scenarios. A case study was performed on a real-scale network of Shanghai during the Expo 2010. The results revealed that the proposed model can deliver more appropriate solution to the assignment problem compared to the existing practice in the real world.


2013 ◽  
Vol 96 ◽  
pp. 2383-2394 ◽  
Author(s):  
Lian-bo Deng ◽  
Wei Gao ◽  
Wen-liang Zhou ◽  
Tian-zhen Lai

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