A utility measure for finding multiobjective shortest paths in urban multimodal transportation networks |
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| Institution: | 1. The University of Sydney, Sydney School of Public Health, Charles Perkins Centre, Sydney, Australia;2. University of New South Wales, School of Population Health, Sydney, Australia;3. The University of Sydney, Institute of Transport & Logistics Studies, University of Sydney Business School, Sydney, Australia;1. Royal HaskoningDHV, The Netherlands;2. Centre for Transport Studies, Faculty of Engineering Technology, University of Twente, The Netherlands;3. Netherlands Railways, The Netherlands;1. School of Maritime Economics and Management, Dalian Maritime University, No. 1 Linghai Road, Dalian 116026, China;2. Ocean College, Zhejiang University, No. 1 Zheda Road, Zhoushan 316021, China;3. Department of Politics and International Studies, University of Cambridge, Alison Richard Building, 7 West Road, Cambridge CB39DT, United Kingdom;1. Jiangsu Key Laboratory of Urban ITS, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, School of Transportation, Southeast University, China;2. Jiangsu Provincial Key Laboratory of Networked Collective Intelligence of China, Research Center for Complex Systems and Network Sciences, School of Mathematics, Southeast University, China |
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| Abstract: | In this paper we study the problem of finding Origin–Destination (O–D) shortest paths in urban multimodal transportation networks, aiming at minimizing the overall cost, time and users' discommodity associated with the required paths. We present an approach based on the classical shortest path problem on a network representing the urban multimodal transportation system, i.e. the private, the public and the pedestrian modalities. Our idea is to make use of an ad hoc utility function for weighing the arcs both with their cost and time and considering at the same time the preference of the users related to all the possible transportation modalities. In particular, a utility measure is presented taking into a proper account the different users' propensities. The proposed approach has been developed for analysing the urban transportation network of an Italian city; the first experimental results are given in the paper. |
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