Title
Traffic speed estimation based on normal location updates and call arrivals from cellular networks.
Abstract
Information and communication technologies have improved the quality of Intelligent Transportation Systems (ITS). By estimating from Cellular Floating Vehicle Data (CFVD) is more cost-effective, and easier to acquire than traditional ways. In this paper, this study proposes a novel approach to evaluate the relation of normal location update, call arrivals, traffic flow, and traffic density. Moreover, the traffic speed is estimated by the proposed approach according to CFVD. In the simulation, this study compares the real traffic information with the estimated traffic information by Vehicle Detector (VD). The experiment results show that the accuracy of traffic speed estimation is 92.92%. Therefore, the proposed approach can be used to estimate traffic speed from CFVD for ITS.
Year
DOI
Venue
2013
10.1016/j.simpat.2013.02.005
Simulation Modelling Practice and Theory
Keywords
Field
DocType
Intelligent transportation system,Cellular network,Speed estimation,Traffic density estimation
Traffic flow,Computer science,Floating car data,Real-time computing,Cellular network,Traffic congestion reconstruction with Kerner's three-phase theory,Intelligent transportation system,Detector
Journal
Volume
ISSN
Citations 
35
1569-190X
4
PageRank 
References 
Authors
0.89
1
5
Name
Order
Citations
PageRank
Chi-Hua Chen16618.92
Hsu-Chia Chang241.23
Chun-Yun Su340.89
Chi-Chun Lo459354.99
Hui-Fei Lin5112.08