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Non-deterministic journey planning in multi-modal transportation networks: a meta-heuristic approach

Published: 26 June 2020 Publication History

Abstract

Multi-modal journey planning, which allows multiple modes of transport to be used within a single trip, is becoming increasingly popular, due to a vast practical interest and the increasing availability of data. In real-life situations, transport networks often involve uncertainty, and yet, most approaches assume a deterministic environment, making plans more prone to failures such as significant delays in the arrival or waiting for a long time at stations. In this paper, we tackle the multi-criteria stochastic journey planning problem in multi-modal transportation networks. We consider the problem as a probabilistic conditional planning problem, and we use Markov Decision Processes to model the problem. Journey plans are optimised simultaneously against five criteria, namely: travel time, journey convenience, monetary cost, CO2, and personal energy expenditure (PEE). We develop an NSGA-III-based solver as a baseline search method for producing optimal policies for travelling from a given origin to a given destination. Our empirical evaluation uses Melbourne transportation network using probabilistic density functions for estimated departure/arrival time of the trips. Numerical results demonstrate the effectiveness of the proposed method for practical purposes and provide strong evidence in favour of contingency planning for journey planning problem.

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  • (2022)A Public Transportation Reservation System for Congestion Relief with E-tickets2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAIAAI55812.2022.00085(397-402)Online publication date: Jul-2022

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cover image ACM Conferences
GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference
June 2020
1349 pages
ISBN:9781450371285
DOI:10.1145/3377930
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 26 June 2020

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Author Tags

  1. contingent planning
  2. multi-criteria journey planning
  3. multi-modal transport
  4. non-deterministic planning

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  • (2022)A Public Transportation Reservation System for Congestion Relief with E-tickets2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAIAAI55812.2022.00085(397-402)Online publication date: Jul-2022

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