Abstract
This paper aims to model and investigate the discrete urban road network design problem, using a multi-objective time-dependent decision-making approach. Given a base network made up with two-way links, candidate link expansion projects, and candidate link construction projects, the problem determines the optimal combination of one-way and two-way links, the optimal selection of capacity expansion projects, and the optimal lane allocations on two-way links over a dual time scale. The problem considers both the total travel time and the total CO emissions as the two objective function measures. The problem is modelled using a time-dependent approach that considers a planning horizon of multiple years and both morning and evening peaks. Under this approach, the model allows determining the sequence of link construction, the expansion projects over a predetermined planning horizon, the configuration of street orientations, and the lane allocations for morning and evening peaks in each year of the planning horizon. This model is formulated as a mixed-integer programming problem with mathematical equilibrium constraints. In this regard, two multi-objective metaheuristics, including a modified non-dominated sorting genetic algorithm (NSGA-II) and a multi-objective B-cell algorithm, are proposed to solve the above-mentioned problem. Computational results for various test networks are also presented in this paper.
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Acknowledgements
The research was jointly supported by grant (201211159009) from the University Research Committee of the University of Hong Kong, and a grant from National Natural Science Foundation of China (71271183). The authors are very grateful to the three reviewers for their constructive comments.
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Miandoabchi, E., Daneshzand, F., Zanjirani Farahani, R. et al. Time-dependent discrete road network design with both tactical and strategic decisions. J Oper Res Soc 66, 894–913 (2015). https://doi.org/10.1057/jors.2014.55
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DOI: https://doi.org/10.1057/jors.2014.55