標題: Traffic speed estimation based on normal location updates and call arrivals from cellular networks
作者: Chen, Chi-Hua
Chang, Hsu-Chia
Su, Chun-Yun
Lo, Chi-Chun
Lin, Hui-Fei
傳播與科技學系
資訊管理與財務金融系 註:原資管所+財金所
Department of Communication and Technology
Department of Information Management and Finance
關鍵字: Intelligent transportation system;Cellular network;Speed estimation;Traffic density estimation
公開日期: 1-六月-2013
摘要: 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. (C) 2013 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.simpat.2013.02.005
http://hdl.handle.net/11536/22345
ISSN: 1569-190X
DOI: 10.1016/j.simpat.2013.02.005
期刊: SIMULATION MODELLING PRACTICE AND THEORY
Volume: 35
Issue: 
起始頁: 26
結束頁: 33
顯示於類別:期刊論文


文件中的檔案:

  1. 000320350500002.pdf