Robust optimization of train timetable and energy efficiency in urban rail transit: A two-stage approach

2020 ◽  
Vol 146 ◽  
pp. 106594 ◽  
Author(s):  
Yunchao Qu ◽  
Huan Wang ◽  
Jianjun Wu ◽  
Xin Yang ◽  
Haodong Yin ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Robust Optimization ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Two Stage ◽  
Train Timetable ◽  
Urban Rail

scholarly journals On the Pricing of Urban Rail Transit with Track Sharing Freight Service

2020 ◽  
Vol 12 (7) ◽  
pp. 2758 ◽  
Author(s):  
Chaoda Xie ◽  
Xifu Wang ◽  
Daisuke Fukuda
Keyword(s):  
Urban Rail Transit ◽  
Reduced Form ◽  
Rail Transit ◽  
Time Varying ◽  
Train Timetable ◽  
Passenger Rail ◽  
Urban Rail ◽  
Optimal Service ◽  
Increasing Demand ◽  
Timetable Problem

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.

Design for Urban Rail Transit Energy Efficiency Management System

2013 ◽  
Vol 749 ◽  
pp. 629-633
Author(s):  
Jian Bin Ye ◽  
Zhi Yan Ding ◽  
Qi Zhu
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Management System ◽  
Rapid Development ◽  
Chinese Economy ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Service Architecture ◽  
Urban Rail ◽  
Emission Reduction Strategies

With the rapid development of Chinese economy and the speeding up urbanization, urban rail transit has entered a rapid development period, which results in more and more energy consumption. Meanwhile affected by energy source and environment factors, the state has implemented energy-saving emission reduction strategies in various fields, so energy efficient management for urban rail transit becomes more important. Based on the analysis of energy consumption problems in urban rail transit, the paper designs urban rail transit energy efficiency management system from the aspects of overall architecture, service architecture and application function, and provides technical support for the realization of the software system.

A Two-Stage Model of Crew Rostering Considering the Balance of Working Intensity for Urban Rail Transit

CICTP 2016 ◽  
2016 ◽  
Author(s):  
Xiaobo Peng ◽  
Shaokuan Chen ◽  
Hua Jin ◽  
Zhuoran Ma ◽  
Wenzheng Jia
Keyword(s):  
Urban Rail Transit ◽  
Rail Transit ◽  
Stage Model ◽  
Two Stage ◽  
Crew Rostering ◽  
Urban Rail

scholarly journals Urban Rail Transit Scheduling under Time-Varying Passenger Demand

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Xing Zhao ◽  
Zhongyan Hou ◽  
Jihuai Chen ◽  
Yin Zhang ◽  
Junying Sun
Keyword(s):  
Urban Rail Transit ◽  
Load Factor ◽  
Rail Transit ◽  
Time Interval ◽  
Train Timetable ◽  
Passenger Demand ◽  
Scheduling Model ◽  
Urban Rail ◽  
Proposed Model ◽  
Transit Scheduling

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.

Sign in / Sign up

Export Citation Format

Share Document