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Passenger-oriented optimization of lines in a mass transit system

Authors: Lucile Brethomé; Rémy Chevrier; Niels van Oort; Joaquin Rodriguez;

Passenger-oriented optimization of lines in a mass transit system

Abstract

Based on passenger mobility knowledge, this research presents a model for the design of passenger-oriented lines for SNCF Transilien (major railway operator for the Parisian suburban mass transit). In the Paris area, the traffic has increased by 30% over the last decade, reaching 3.2 million passengers a day on the network. We have developed a new method that proposes a line planning process aiming at the best quality level for passengers, and at reasonable costs. First, we introduce indicators to characterize the performance of railway services, with the traveler’s and the operator’s points of view. Then, a method to solve a graph theory-based multiobjective model for the Line Planning Problem is presented, minimizing both users’ discomfort and operating costs. This method provides all efficient solutions. Experimental results on SNCF Transilien real instances are presented. Several objective functions are compared and analyzed with regards to the passenger quality of service. These new criteria provide a more accurate outlook of the quality of service.

Keywords

Railway; Line Planning; Multi-Objective Optimization; Socio-Economic Criteria.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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