Journal
COMPUTERS & OPERATIONS RESEARCH
Volume 40, Issue 10, Pages 2429-2449Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cor.2013.03.016
Keywords
Urban road; Network design; Transportation; Multi-objective; Hybrid metaheuristics
Categories
Funding
- National Natural Science Foundation of China [71271183]
- University Research Committee of the University of Hong Kong [201011159026, 201111159056]
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This paper addresses the problem of designing urban road networks in a multi-objective decision making framework. Given a base network with only two-way links, and the candidate lane addition and link construction projects, the problem is to find the optimal combination of one-way and two-way links, the optimal selection of network capacity expansion projects, and the optimal lane allocations on two-way links to optimize the reserve capacity of the network, and two new travel time related performance measures. The problem is considered in two variations; in the first scenario, two-way links may have different numbers of lanes in each direction and in the second scenario, two-way links must have equal number of lanes in each direction. The proposed variations are formulated as mixed-integer programming problems with equilibrium constraints. A hybrid genetic algorithm, an evolutionary simulated annealing, and a hybrid artificial bee colony algorithm are proposed to solve these two new problems. A new measure is also proposed to evaluate the effectiveness of the three algorithms. Computational results for both problems are presented. Crown Copyright (C) 2013 Published by Elsevier Ltd. All rights reserved.
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