scholarly journals Cost-saving properties of schedule coordination in a simple trunk-and-feeder transit system

2012 ◽  
Vol 46 (1) ◽  
pp. 131-139 ◽  
Author(s):  
Karthikgeyan Sivakumaran ◽  
Yuwei Li ◽  
Michael J. Cassidy ◽  
Samer Madanat
Author(s):  
Xiaohong Fang ◽  
Leishan Zhou ◽  
Ming Xia

On urban mass transit network, some connections inherently exist between trains on different lines through transfer stations. Schedule coordination for different lines, especially optimizing the arriving and departure times at transfer stations, may significantly reduce transfer waiting times at stations where various routes are interconnected, so as to improve the passenger service level. Based on the passengers flow characters of urban mass transit (UMT), both the convenience and rationality of connection between different lines were considered, and then an optimization model, with the aims of the minimal total waiting time of transfer passengers and inboard passengers, was set up. Combining the inner coordination of arriving and departure time sequence of trains in transfer nodes with the exterior coordination of transfer nodes on whole urban mass transit network, a multi-layers coordination policy was proposed, and the integrated optimization of the urban mass transit system was realized through taking some small time shifts of the proposed singleline timetables. In order to verify the validity and feasibility of the model and algorithm, we conducted an experimental study. The result turns out that improvement on UMT network can be determined by such optimization techniques.


Author(s):  
Xueping Dou ◽  
Xiucheng Guo

This paper proposes a schedule coordination method for last train service in an urban rail transit system. The method offsets and perturbs the original train schedule to reduce transfer failures across different lines, and it considers the effect of schedule adjustments. The proposed problem is formulated as a mixed-integer nonlinear programming (MINLP) model. The MINLP model is equivalently transformed into a mixed-integer linear programming (MILP) model that can be exactly solved by commercial optimization solvers. A case study based on the mass rapid transit system in Singapore was conducted. The results of the case study indicate that the train schedule that is coordinated by the developed model is capable of substantially improving operational connectivity. Therefore, the model proposed in this study can be employed as a viable tool to assist with the coordination of train schedules for public transport operators.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 96391-96403
Author(s):  
Yi Yang ◽  
Xinguo Jiang ◽  
Wenbo Fan ◽  
Yusong Yan ◽  
Liang Xia

2020 ◽  
Vol 2020 ◽  
pp. 1-20
Author(s):  
Zhengwu Wang ◽  
Jie Yu ◽  
Wei Hao ◽  
Tao Chen ◽  
Yi Wang

The last mile travelling problem is the most challenging part when using public transit. This study designs a high-freedom responsive feeder transit (HFRFT) system to serve at the transfer station, given vehicle routes, departure time, and service area based on demand. The proposed feeder transit system employs a travelling mode with multitype vehicles. In order to improve the operation of the HFRFT system, the optimization design methods are suggested for vehicle routes, scheduling, and service area. A mixed integer programming model and its hybrid of a metaheuristic algorithm are proposed to efficiently and integrally solve the vehicle routes and scheduling parameters according to the reservation requirements. A heuristic method is proposed to optimize the service area based on the equilibrium of system supply and demand. Case studies show that the mixed running mode of multiple models can significantly improve the seat utilization, which can also significantly reduce the number of departures and the average travel distance per passenger. The proposed service area optimization method is proved to be feasible to improve the last mile travel.


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