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

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Author(s): Masoomeh Divsalar (Mazandaran University of Science and Technology, Iran), Reza Hassanzadeh (University College of Rouzbahan, Iran), Iraj Mahdavi (Mazandaran University of Science and Technology, Iran)and Nezam Mahdavi-Amiri (Sharif University of Technology, Iran)
Copyright: 2018
Pages: 24
Source title: Intelligent Transportation and Planning: Breakthroughs in Research and Practice
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5210-9.ch039

Keywords: Data Analysis & Statistics / Engineering Science Reference / Library & Information Science / Mechanical Engineering

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

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