Abstract

We present a shortest-path algorithm for the departure time and speed optimization problem under traffic congestion. The objective of the problem is to determine an optimal schedule for a vehicle visiting a fixed sequence of customer locations to minimize a total cost function encompassing emissions cost and labor cost.We account for the presence of traffic congestion, which limits the vehicle speed during peak hours.We show how to cast this problem as a shortest-path problem by exploiting some structural results of the optimal solution. We illustrate the solution method and discuss some properties of the problem.


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The different versions of the original document can be found in:

http://dx.doi.org/10.1287/trsc.2018.0820
https://dx.doi.org/10.1287/trsc.2018.0820,
http://dx.doi.org/10.1287/trsc.2018.0820,
https://research.tue.nl/en/publications/a-shortest-path-algorithm-for-the-departure-time-and-speed-optimi,
https://dblp.uni-trier.de/db/journals/transci/transci52.html#FranceschettiHL18,
https://researchportal.bath.ac.uk/en/publications/a-shortest-path-algorithm-for-the-departure-time-and-speed-optimi,
https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2F503a6dc9-ba1d-425b-902d-b28764943292,
https://academic.microsoft.com/#/detail/2801088686
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Published on 01/01/2018

Volume 2018, 2018
DOI: 10.1287/trsc.2018.0820
Licence: CC BY-NC-SA license

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