標題: The Optimal Sampling Period of a Fingerprint Positioning Algorithm for Vehicle Speed Estimation
作者: Cheng, Ding-Yuan
Chen, Chi-Hua
Hsiang, Chia-Hung
Lo, Chi-Chun
Lin, Hui-Fei
Lin, Bon-Yeh
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
公開日期: 2013
摘要: Using cellular floating vehicle data is a crucial technique for measuring and forecasting real-time traffic information based on anonymously sampling mobile phone positions for intelligent transportation systems (ITSs). However, a high sampling frequency generates a substantial load for ITS servers, and traffic information cannot be provided instantly when the sampling period is long. In this paper, two analytical models are proposed to analyze the optimal sampling period based on communication behaviors, traffic conditions, and two consecutive fingerprint positioning locations from the same call and estimate vehicle speed. The experimental results show that the optimal sampling period is 41.589 seconds when the average call holding time was 60 s, and the average speed error rate was only 2.87%. ITSs can provide accurate and real-time speed information under lighter loads and within the optimal sampling period. Therefore, the optimal sampling period of a fingerprint positioning algorithm is suitable for estimating speed information immediately for ITSs.
URI: http://hdl.handle.net/11536/23563
http://dx.doi.org/10.1155/2013/306783
ISSN: 1024-123X
DOI: 10.1155/2013/306783
期刊: MATHEMATICAL PROBLEMS IN ENGINEERING
顯示於類別:期刊論文


文件中的檔案:

  1. 000329651200001.pdf