Mobile Traffic Sensor Routing in Dynamic Transportation Systems

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 surve...

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Bibliographic Details
Published in:IEEE transactions on intelligent transportation systems 2014-10, Vol.15 (5), p.2273-2285
Main Authors: Zhu, Ning, Liu, Yang, Ma, Shoufeng, He, Zhengbing
Format: Article
Language:English
Subjects:
Ant colony optimization (ACO)
Estimation
hybrid two-stage heuristic algorithm
Indexes
Mathematical models
Mobile communication
Mobile computing
mobile traffic sensor routing
particle swarm optimization (PSO)
Route planning
Routing
Sensors
Surveillance
Traffic engineering
Traffic flow
Transportation networks
Transportation systems
vehicle routing problem (VRP)
Vehicles
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Summary: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.
ISSN:1524-9050
1558-0016
DOI:10.1109/TITS.2014.2314732