NDLI: A Bi-level Programming Model for Network Traffic Surveillance of Optimal Camera Location

Content Provider	IEEE Xplore Digital Library
Author	Xiao-Shan Lu Hai-Jun Huang Jiancheng Long
Copyright Year	2011
Abstract	Cameras enable synthesis of disaggregated vehicle information from multiple locations. This paper addresses the problem of how to determine the optimal locations of cameras for best traffic surveillance in urban road networks. All users are divided into multiple classes according to their own acceptance degree of camera monitoring (ADOCM). A bi-level programming model for camera location problem (CLP) is introduced. The objective of upper level problem is to maximize the total observed traffic flow from the viewpoint of network planners. The lower level problem is to depict the logit-based stochastic route choice behavior of users. The method of successive averages (MSA) and Frank Wolfe algorithm are employed to solve the problem. Numerical examples show the managerial insight that the behavior against camera monitoring has brought considerable loss to network traffic surveillance.
Starting Page	1035
Ending Page	1039
File Size	580130
Page Count	5
File Format	PDF
ISBN	9781424497126
DOI	10.1109/CSO.2011.19
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	bi-level programming traffic surveillance Roads Surveillance Stochastic processes location theory Traffic control stochastic user equilibrium Cameras camera location multiclass
Content Type	Text
Resource Type	Article

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