NDLI: Mobile Traffic Sensor Routing in Dynamic Transportation Systems

Content Provider	IEEE Xplore Digital Library
Author	Ning Zhu Yang Liu Shoufeng Ma Zhengbing He
Copyright Year	2000
Abstract	In transportation networks, traditional fixed sensors are used to monitor the operation of transportation systems. However, fixed sensors cannot move once they are installed. In this paper, the motion ability of traffic sensors is introduced to improve the performance of transportation network surveillance. A mobile traffic sensor routing problem is proposed, modeled as a novel vehicle routing problem. A measure of traffic information acquisition benefits is developed and used to gauge the surveillance performance. To solve this mobile-sensor routing problem, a hybrid two-stage heuristic algorithm is designed, which is based on particle swarm optimization and ant colony optimization. Numerical experiments are conducted. The results show that the mobile traffic sensor has a better network surveillance performance than the fixed sensor in most experimental cases.
Sponsorship	IEEE Intelligent Transportation Systems Society
Starting Page	2273
Ending Page	2285
Page Count	13
File Size	1102183
File Format	PDF
ISSN	15249050
Volume Number	15
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mobile communication Estimation Routing Vehicles Mobile computing Indexes vehicle routing problem (VRP) Ant colony optimization (ACO) hybrid two-stage heuristic algorithm mobile traffic sensor routing particle swarm optimization (PSO)
Content Type	Text
Resource Type	Article
Subject	Automotive Engineering Mechanical Engineering Computer Science Applications

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