Multi-objective discrete urban road network design |
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Authors: | Elnaz Miandoabchi Farzaneh Daneshzand W.Y. Szeto Reza Zanjirani Farahani |
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Affiliation: | 1. Logistics and Supply Chain Management Research Group, Institute for Trade Studies and Research, Tehran, Iran;2. Department of Industrial Engineering, Amirkabir University of Technology, Tehran, Iran;3. Department of Civil Engineering, The University of Hong Kong, Hong Kong;4. Kingston Business School, Kingston University, Kingston Hill, Kingston Upon Thames, Surrey KT2 7LB, UK |
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Abstract: | 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. |
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Keywords: | Urban road Network design Transportation Multi-objective Hybrid metaheuristics |
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