Line planning with user-optimal route choice

Marc Goerigk and Marie Schmidt

European Journal of Operational Research, 2017, vol. 259, issue 2, 424-436

Abstract: We consider the problem of designing lines in a public transport system, where we include user-optimal route choice. The model we develop ensures that there is enough capacity present for every passenger to travel on a shortest route. We present two different integer programming formulations for this problem, and discuss exact solution approaches. To solve large-scale line planning instances, we also implemented a genetic solution algorithms. We test our algorithms in computational experiments using randomly generated instances along realistic data, as well as a realistic instance modeling the German long-distance network. We examine the advantages and disadvantages of using such user-optimal solutions, and show that our algorithms sufficiently scale with instance size to be used for practical purposes.

Keywords: Transportation; Line planning; Public transport capacity; Equilibrium constraints; Railway optimization (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (19)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:259:y:2017:i:2:p:424-436

DOI: 10.1016/j.ejor.2016.10.034

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