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Erschienen in:

2016 | OriginalPaper | Buchkapitel

Optimal Types of Traffic Sensors Located in a Stochastic Network: A Bi-Level Programming Model

verfasst von : Qiubo Zhang

Erschienen in: Proceedings of 2015 2nd International Conference on Industrial Economics System and Industrial Security Engineering

Verlag: Springer Singapore

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Abstract

This paper addresses the optimization model of traffic sensor location considering drivers’ route choice behaviors. Based on the idea of bi-level programming, a mathematical model with an objective of maximizing total observed traffic flow, it is first formulated to maximize the benefit game between traffic managers and drivers. A hybrid GA-MSA algorithm is proposed to obtain the optimal or near-optimal solution of the above model, in which GA is utilized to solve the upper-level mixed integer nonlinear programming and MSA is adopted to get the link flow pattern in a stochastic user equilibrium state under different traffic sensor location schemes.

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Vorheriges Kapitel Research on Controlling Measures of Overcapacity

Nächstes Kapitel The Characteristics of Traffic Congestion from the Perspective of Spatial Structure, Urbanization, and Motorization in Chongqing

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Titel: Optimal Types of Traffic Sensors Located in a Stochastic Network: A Bi-Level Programming Model
verfasst von: Qiubo Zhang
Verlag: Springer Singapore
Buch: Proceedings of 2015 2nd International Conference on Industrial Economics System and Industrial Security Engineering
Print ISBN: 978-981-287-654-6

Electronic ISBN: 978-981-287-655-3

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-981-287-655-3_53