Journal
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
Volume 66, Issue 6, Pages 894-913Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1057/jors.2014.55
Keywords
urban road network design; time-dependent; dual time scale; multi-objective; evolutionary metaheuristics; vehicle emissions
Funding
- University Research Committee of the University of Hong Kong [201211159009]
- National Natural Science Foundation of China [71271183]
Ask authors/readers for more resources
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 nondominated 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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available