Train Timetable Problem on a Single-Line Railway With Fuzzy Passenger Demand

2009 ◽  
Vol 17 (3) ◽  
pp. 617-629 ◽  
Author(s):  
Lixing Yang ◽  
Keping Li ◽  
Ziyou Gao
2020 ◽  
Vol 12 (7) ◽  
pp. 2758 ◽  
Author(s):  
Chaoda Xie ◽  
Xifu Wang ◽  
Daisuke Fukuda

Transporting parcels on urban passenger rail transit is gaining growing interest as a response to the increasing demand and cost of urban parcel delivery. To analyze the welfare effects of different fare regimes when allowing parcel services on an urban rail transit, this paper models the optimal service problem where the transit operator chooses the number of trains and the departure intervals. By introducing a reduced form train timetable problem, the passenger train crowding model is extended to incorporate the effect of freight train scheduling. We show that the freight users are better off in the time-varying optimal fare regime, while passengers are worse off, and that the time-varying optimal fare regime calls for more trains than the optimal uniform fare regime. However, the reduction in passenger trains due to the introduction of freight service can eliminate the welfare gain from passenger time-varying fare. If the price elasticity of freight demand is relatively high, implementing road toll can generate welfare loss when rail transit is privately operated.


2018 ◽  
Vol 111 ◽  
pp. 19-38 ◽  
Author(s):  
Tomáš Robenek ◽  
Shadi Sharif Azadeh ◽  
Yousef Maknoon ◽  
Matthieu de Lapparent ◽  
Michel Bierlaire

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Xing Zhao ◽  
Zhongyan Hou ◽  
Jihuai Chen ◽  
Yin Zhang ◽  
Junying Sun

In view of the conflict between the time-variation of urban rail transit passenger demand and the homogeneity of the train timetable, this paper takes into account the interests of both passengers and operators to build an urban rail transit scheduling model to acquire an optimized time-dependent train timetable. Based on the dynamic passenger volumes of origin-destination pairs from the automatic fare collection system, the model focuses on minimizing the total passenger waiting time with constraints on time interval between two consecutive trains, number and capacity of trains available, and load factor of trains. A hybrid algorithm which consists of the main algorithm based on genetic algorithm and the nested algorithm based on train traction calculation and safety distance requirement is designed to solve the model. To justify the effectiveness and the practical value of the proposed model and algorithm, a case of Nanjing Metro Line S1 is illustrated in this paper. The result shows that the optimized train timetable has advantage compared to the original one.


2011 ◽  
Vol 48-49 ◽  
pp. 56-59
Author(s):  
Xiao Qiu Jia ◽  
Xiao Yu Guan

At present, periodic train timetable problem (PTTP) becomes one of the hot topics home and abroad. On the basic of present theories and methods about periodic and non-periodic train timetable problem, the thesis constructs a multi-objectives model for the PTTP, transfers it into a single model with multi-priorities structure, and designs a genetic algorithm in a given period by the basic ideas on solving job shop problem. Finally, the paper gives out a instance for Jingjin railroad to show effectiveness of the algorithm.


Transport ◽  
2018 ◽  
Vol 33 (4) ◽  
pp. 993-1004
Author(s):  
Chunyan Tang ◽  
Avishai (Avi) Ceder ◽  
Shengchuan Zhao

This work presents a methodology for minimizing costs involved in the operation of a single line bus service. The model developed is based on optimal implementation of operational strategies tailored to passenger demand for a bi-directional single bus line. As a result, the commonly used timetable for Full Route Operation (FRO) will have to change to accommodate three types of strategies: short turn, limited stop, and mixed strategy (a combination of short turn and limited stop). The use of operational strategies will better match supply and demand, and will thus improve operation efficiency. The optimization model determines which trips of the given FRO timetable will be implemented with given strategies considering the trade-offs between passenger and operator costs. Moreover, in applying the model, the availability of real time information for passengers is considered in the calculation of waiting times. The proposed model is interpreted in the context of a small example, which serves as an explanatory devise. Then, it is applied to a real life case study in Dalian, China. The results show an indication that a significant saving could be attained by the use of multiple strategies. These savings were especially observed in the reduction of operational costs involved with the saving of travel times and running empty seats.


2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Yu Ke ◽  
Lei Nie ◽  
Christian Liebchen ◽  
Wuyang Yuan ◽  
Xin Wu

Air and high-speed rail (AH) integration services are gaining ground with the development of the high-speed railway and airline industries. A well-designed feeder train timetable with good synchronization is of great significance in an AH integration service, because it can improve the connectivity at transfer nodes and offer more opportunities for intermodal passengers to travel. In this study, we propose a multi-objective model of a feeder railway timetable problem in an AH integration service to improve synchronization. The aims of the optimization model are to maximize the number of synchronizations and the coverage of synchronized flights, as well as to minimize the transfer penalties of passengers. We focus on a scenario of a partial subnetwork in which one direction of a two-direction railroad line with one transfer station is considered. The model is applied to Shijiazhuang Zhengding International Airport, China. The results illustrate the effectiveness of the approach developed in the paper.


2014 ◽  
Vol 70 ◽  
pp. 134-150 ◽  
Author(s):  
Eva Barrena ◽  
David Canca ◽  
Leandro C. Coelho ◽  
Gilbert Laporte

Author(s):  
Alan Boyde ◽  
Milan Hadravský ◽  
Mojmír Petran ◽  
Timothy F. Watson ◽  
Sheila J. Jones ◽  
...  

The principles of tandem scanning reflected light microscopy and the design of recent instruments are fully described elsewhere and here only briefly. The illuminating light is intercepted by a rotating aperture disc which lies in the intermediate focal plane of a standard LM objective. This device provides an array of separate scanning beams which light up corresponding patches in the plane of focus more intensely than out of focus layers. Reflected light from these patches is imaged on to a matching array of apertures on the opposite side of the same aperture disc and which are scanning in the focal plane of the eyepiece. An arrangement of mirrors converts the central symmetry of the disc into congruency, so that the array of apertures which chop the illuminating beam is identical with the array on the observation side. Thus both illumination and “detection” are scanned in tandem, giving rise to the name Tandem Scanning Microscope (TSM). The apertures are arranged on Archimedean spirals: each opposed pair scans a single line in the image.


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