An eigenmodel for iterative line planning,timetabling and vehicle scheduling in public transportation |
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Affiliation: | 1. School of Transportation and Logistics, Southwest Jiaotong University, Erhuan Road 111, North section 1, Chengdu, 610031 Sichuan, China;2. DEI, Università di Bologna, Viale Risorgimento 2, 40136 Bologna, Italy;1. Transport and Mobility Laboratory (TRANSP-OR), School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, CH-1015, Switzerland;2. Sino-US Global Logistics Institute, Shanghai Jiaotong University, 1954 Huashan Rd., Shanghai, 200030, PR China;1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, PR China;2. Deparment of Engineering, Roma Tre University, via della vasca navale 79, Rome 00146, Italy |
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Abstract: | Planning a public transportation system is a multi-objective problem which includes among others line planning, timetabling, and vehicle scheduling. For each of these planning stages, models are known and advanced solution techniques exist. Some of the models focus on costs, others on passengers’ convenience. Setting up a transportation system is usually done by optimizing each of these stages sequentially.In this paper we argue that instead of optimizing each single step further and further it would be more beneficial to consider the whole process in an integrated way. To this end, we develop and discuss a generic, bi-objective model for integrating line planning, timetabling, and vehicle scheduling. We furthermore propose an eigenmodel which we apply for these three planning stages and show how it can be used for the design of iterative algorithms as heuristics for the integrated problem. The convergence of the resulting iterative approaches is analyzed from a theoretical point of view. Moreover, we propose an agenda for further research in this field. |
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Keywords: | Public transportation Integrated planing Eigenmodel Line planning Timetabling Vehicle scheduling |
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