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Reserve Capacity of Mixed Urban Road Networks, Network Configuration and Signal Settings

Reserve Capacity of Mixed Urban Road Networks, Network Configuration and Signal Settings

Masoomeh Divsalar, Reza Hassanzadeh, Iraj Mahdavi, Nezam Mahdavi-Amiri
Copyright: © 2017 |Volume: 4 |Issue: 1 |Pages: 21
ISSN: 2155-4153|EISSN: 2155-4161|EISBN13: 9781522514879|DOI: 10.4018/IJAIE.2017010103
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MLA

Divsalar, Masoomeh, et al. "Reserve Capacity of Mixed Urban Road Networks, Network Configuration and Signal Settings." IJAIE vol.4, no.1 2017: pp.44-64. http://doi.org/10.4018/IJAIE.2017010103

APA

Divsalar, M., Hassanzadeh, R., Mahdavi, I., & Mahdavi-Amiri, N. (2017). Reserve Capacity of Mixed Urban Road Networks, Network Configuration and Signal Settings. International Journal of Applied Industrial Engineering (IJAIE), 4(1), 44-64. http://doi.org/10.4018/IJAIE.2017010103

Chicago

Divsalar, Masoomeh, et al. "Reserve Capacity of Mixed Urban Road Networks, Network Configuration and Signal Settings," International Journal of Applied Industrial Engineering (IJAIE) 4, no.1: 44-64. http://doi.org/10.4018/IJAIE.2017010103

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Abstract

The authors formulate the transportation mixed network design problem (MNDP) as a mixed-integer bi-level mathematical problem, based on the concept of reserve capacity. The upper level goal is to maximize the reserve capacity by signal settings at intersections, determine street direction and increase street capacities via addition of lanes. The lower level problem is a deterministic user equilibrium traffic assignment problem to minimize the user travel time. The model being non-convex, meta-heuristic methods are used to solve the problem. A hybridization of genetic algorithm with simulated annealing and a bee algorithm are proposed. Numerical examples are illustrated to verify the effectiveness of the proposed model and the algorithms.

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