@inproceedings{fb521efb3c7b4af28052301fe912a489,
title = "A Traffic Information Estimation Model Using Periodic Location Update Events from Cellular Network",
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.",
keywords = "Periodic Location Update; Intelligent Transportation System; Cellular Network; Traffic Density Estimation",
author = "Bon-Yeh Lin and Chi-Hua Chen and Chi-Chun Lo",
year = "2011",
doi = "10.1007/978-3-642-18134-4_12",
language = "English",
isbn = "978-3-642-18133-7",
series = "INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT II",
pages = "72--77",
booktitle = "INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT II",
note = "International Conference on Intelligent Computing and Information Science ; Conference date: 08-01-2011 Through 09-01-2011",
}