A RFID based traffic information acquisition system and vehicle positioning method

被引：6
|
作者：
Zhao T.-Y. [1 ]
Guo C.-A. [1 ]
Jin M.-L. [1 ]
机构：
[1] School of Electronic and Information Engineering, Dalian University of Technology
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2010年 / 32卷 / 11期
关键词：
ITS (Intelligent Transportation System); Passive positioning; Robust estimation; TDOA (Time Difference Of Arrival); Traffic information acquisition;
D O I：
10.3724/SP.J.1146.2009.01530
中图分类号：
学科分类号：
摘要：
Vehicle positioning method is a hot research topic for many years. In this paper, an ITS (Intelligent Transportation System) based on RFID is proposed, including the structure and communication protocol. A novel vehicle positioning method, based on the Time Difference of Arrival (TDOA) is proposed. This vehicle positioning method is a two-step robust positioning method. The rough position of a vehicle can be estimated by a robust estimation in the first step. Then the three base stations which are closest to the vehicle can be found, and the two TDOA of these three base stations are employed to calculate the vehicle's final position. Simulation results show that the performance of the proposed algorithm is better than the classic Chan algorithm and 2-step algorithm based on averaging method. The performance of the proposed algorithm can meet the requirement of positioning service in ITS.
引用
收藏
页码：2612 / 2617
页数：5
相关论文
共 16 条
  • [1] Hamey L.G.C., Priest C., Automatic number plate recognition for Australian conditions, Digital Image Computing Techniques and Applications, (2005)
  • [2] Wolfgang D., Wilhelm G., Interoperable 5.8GHz DSRC system as basis for European wide ETC implementation, European Microwave Conference, 1, pp. 139-145, (1997)
  • [3] Zhao T.-Y., Design and implementation of a dynamic traffic information acquisition system, (2006)
  • [4] Liu B.-W., Search and location of transportation targets based on RFID, (2007)
  • [5] Fu C.-L., The data fusion based on Automatic Vehicle Location System and its application in Urban Traffic, (2008)
  • [6] Iqbal U., Okou A.F., Noureldin A., An integrated reduced inertial sensor system- RISS/GPS for land vehicle, Position, Location and Navigation Symposium, pp. 1014-1021, (2008)
  • [7] Guvenc I., Chong C.-C., A survey on TOA based sireless localization and NLOS mitigation techniques, IEEE Communications Surveys & Tutorials, 11, 3, pp. 107-124, (2009)
  • [8] Jiao L., Xing J.-P., Li F.Y., Performance comparison of residual related algorithms for ToA positioning in wireless terrestrial and sensor networks, VITAE 2009. 1st International Conference, pp. 278-283, (2009)
  • [9] Yang T.-C., Jin L., Cheng J., An improvement CHAN algorithm based on TOA position, Acta Electronica Sinica, 37, 4, pp. 819-822, (2009)
  • [10] Wang Z.-H., Zekavat S.A., A novel semidistributed localization via multinode TOA-DOA fusion, IEEE Transactions on Vehicular Technology, 58, 7, pp. 3426-3435, (2009)
12