Abstract
In recent years considerable concerns have arisen over building Intelligent Transportation System (ITS) which focuses on efficiently managing the road network. One of the important purposes of ITS is to improve the usability of transportation resources so as extend the durability of vehicle, reduce the fuel consumption and transportation times. Before this goal can be achieved, it is vital to obtain correct and real-time traffic information, so that traffic information services can be provided in a timely and effective manner. Using Mobile Stations (MS) as probe to tracking the vehicle movement is a low cost and immediately solution to obtain the real-time traffic information. In this paper, we propose a model to analyze the relation between the amount of Periodic Location Update (PLU) events and traffic density. Finally, the numerical analysis shows that this model is feasible to estimate the traffic density.
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References
Middleton, D., Parker, R.: Vehicle Detector Evaluation. Report 2119-1. Project Number 0-2119. Texas Transportation Institute (2002)
Cheu, R.L., Xie, C., Lee, D.H.: Probe Vehicle Population and Sample Size for Arterial Speed Estimation. Computer-Aided Civil and Infrastructure Engineering (17), 53–60 (2002)
Ygnace, J., Drane, C., Yim, Y.B., de Lacvivier, R.: Travel time estimation on the San-Francisco bay area network using cellular phones as probes. University of California, Berkeley, PATH Working Paper UCB-ITS-PWP-2000-18 (2000)
Fontaine, M.D., Smith, B.L.: Probe-based traffic monitoring systems with wireless location technology: an investigation of the relationship between system design and effectiveness. Transportation Research Record: Journal of the Transportation Research Board (1925), 3–11 (2005)
Bar-Gera, H.: Evaluation of a cellular phone-based system for measurements of traffic speeds and travel times: A case study from Israel. Transportation Research Part C (15), 380–391 (2007)
Caceres, N., Wideberg, J.P., Benitez, F.G.: Deriving origin-destination data from a mobile phone network. IET Intelligent Transport Systems 1(1), 15–26 (2007)
Logghe, S., Maerivoet, S.: Validation of travel times based on cellular floating vehicle data. In: Proceedings of the 6th European Congress and Exhibition on Intelligent Transportation Systems, Aalborg, Denmark (2007)
Caceres, N., Wideberg, J.P., Benitez, F.G.: Review of traffic data estimations extracted from cellular networks. IET Intelligent Transport Systems 2(3), 179–192 (2008)
Gundlegard, D., Karlsson, J.M.: Handover location accuracy for travel time estimation in GSM and UMTS. IET Intelligent Transport Systems 3(1), 87–94 (2009)
Bolotin, V.A.: Modeling call holding time distributions for CCS network design and performance analysis. IEEE Journal on Selected Areas in Communications 12(3), 433–438 (1994)
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© 2011 Springer-Verlag Berlin Heidelberg
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Lin, BY., Chen, CH., Lo, CC. (2011). A Traffic Information Estimation Model Using Periodic Location Update Events from Cellular Network. In: Chen, R. (eds) Intelligent Computing and Information Science. ICICIS 2011. Communications in Computer and Information Science, vol 135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18134-4_12
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DOI: https://doi.org/10.1007/978-3-642-18134-4_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-18133-7
Online ISBN: 978-3-642-18134-4
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