Title
Performance Evaluation of Handoff-Based Cellular Traffic Monitoring Systems Using Combined Wireless and Traffic Simulation Platform
Abstract
Handoff-based cellular probe technologies have been proven to be a cost-effective solution for traffic surveillance due to their low cost, large sample size, and intensive spatial coverage. At the same time, the development of reliable simulation tools that can be used to conduct a feasibility study, performance evaluation, and estimation model testing for cellular probe technologies, especially in the arterial environment, is still limited. In this study, by simulating the real-world signal delaying and wireless signal communication protocols, we establish a simulation platform for evaluating cellular probe system. The simulation platform eliminates unrealistic assumption on static and regular cell boundaries in the existing simulation tools and can provide simulation results similar to field observations. Based on the platform, we compared the performance of cellular probe system under both freeway and arterial environment. We analyzed the impact of traffic conditions, the duration of cellphone calls, and penetration rate on the handoff efficiency, handoff link speed error, and information-disseminating link speed estimation error. In addition, we also provide a detailed evaluation of the accuracy of the intersection delay estimation and the potential error sources and mechanism. The results show that the handoff-based cellular probe technologies attain good performance in traffic monitoring and the proposed simulation platform can reflect the real-world condition on an acceptable level.
Year
DOI
Venue
2016
10.1080/15472450.2014.1001027
Journal of Intelligent Transportation Systems
Keywords
Field
DocType
Cellular Telephones,Performance Evaluations,Traffic Speed,Traffic Surveillance
Wireless,Monitoring system,Simulation,Cellular traffic,Traffic simulation,Performance measurement,Engineering,Network traffic simulation,Handover,Communications protocol
Journal
Volume
Issue
ISSN
20
2
1547-2450
Citations 
PageRank 
References 
0
0.34
1
Authors
4
Name
Order
Citations
PageRank
Fei Yang131.73
Zhenxing Yao210.68
Peter J. Jin3535.29
Da Yang451.16