Route Planning Under Uncertainty: A Case Study on Objectives Apart from Mean Travel Time

Jan Gertheiss () and Florian Jaehn
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Jan Gertheiss: Helmut Schmidt University
Florian Jaehn: Helmut Schmidt University

A chapter in Operations Research Proceedings 2021, 2022, pp 261-267 from Springer

Abstract: Abstract We take the perspective of an individual passenger and consider the problem of choosing a route from a start point S to a target T from a relatively small set of options. We assume that travel times are not deterministic but subject to some stochastic mechanism/uncertainty. For modeling and analyzing travel times, we use stochastic simulation based on mixtures of gamma distributions. Instead of focusing on mean travel times, we discuss multiple criteria for decision making. Our approach is illustrated by an example from public transportation: traveling from Göttingen to Cologne by ICE train. Furthermore, we discuss ways how to extend our approach; e.g., by inferring model parameters from historical data.

Keywords: Stochastic route planning; Public transport; Monte Carlo simulation (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-08623-6_39

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DOI: 10.1007/978-3-031-08623-6_39

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