Journal
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
Volume 51, Issue -, Pages 1-18Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trc.2014.11.001
Keywords
Urban subway network; Timetable; Synchronization optimization; Transfers
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Funding
- National Basic Research Program of China [2012CB725400]
- National Natural Science Foundation of China [71322102]
- Research Foundation of State Key Laboratory of Rail Traffic Control and Safety [RCS2014ZT01]
- Program for New Century Excellent Talents in University [NCET-12-0764]
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In the urban subway transportation system, passengers may have to make at least one transfer traveling from their origin to destination. This paper proposes a timetable synchronization optimization model to optimize passengers' waiting time while limiting the waiting time equitably over all transfer station in an urban subway network. The model aims to improve the worst transfer by adjusting the departure time, running time, the dwelling time and the headways for all directions in the subway network. In order to facilitate solution, we develop a binary variables substitute method to deal with the binary variables. Genetic algorithm is applied to solve the problem for its practicality and generality. Finally, the suggested model is applied to Beijing urban subway network and several performance indicators are presented to verify the efficiency of suggested model. Results indicate that proposed timetable synchronization optimization model can be used to improve the network performance for transfer passengers significantly. (C) 2014 Elsevier Ltd. All rights reserved.
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