A Shortest-Path Algorithm for the Departure Time and Speed Optimization Problem

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INFORMS: Institute for Operations Research and the Management Sciences

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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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Keywords

Scheduling, Speed zoning (Traffic engineering), Cost effectiveness, Traffic congestion, Graph theory

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"This work was partly supported by the Dutch Institute for Advanced Logistics under [project 4C4D] and by the Canadian Natural Sciences and Engineering Research Council under [Grant 2015-06189]."

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©2018 INFORMS

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