Abstract
In order to monitor the mobile vehicles efficiently and judge the congestion status under complex condition of road and traffic, Radio frequency identification (RFID) technology is used to realize the dynamic identification and information exchange of the vehicles together with using the advantage of technologies of Global Positioning System (GPS) and Location Based Service (LBS) to get the precise position of vehicle. LBS technology is used to realize the function of showing the congestion status under complex condition of road and traffic, and the status of the vehicle can be shown to users by electronic map on website. The model of vehicle monitoring is designed and the system is implemented and tested on the basis of combination of RFID, GPS and LBS, which can be of great significance to the information construction of traffic detection.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Toral, S.L., Gregor, D., Vargas, M., et al.: Distributed urban traffic applications based on CORBA event services. Int. J. Space Based Situated Comput. 1(1), 86–97 (2011)
Liu, T., Yang, L., Lin, Q., et al.: Anchor-free backscatter positioning for RFID tags with high accuracy. In: Proceedings of INFOCOM, pp. 379–387 (2014)
Dobkinm, D.M.: The RF in RFID: UHF RFID in Practice. Newnes, Waltham (2012)
Sakurai, S.: Prediction of sales volume based on the RFID data collected from apparel shops. Int. J. Space Based Situated Comput. 1(2–3), 174–182 (2011)
Nam, S., Park, M., Kim, K., et al.: A study on the regulations and market of Location Based Service (LBS). J. Internet Comput. Serv. 15(4), 141–152 (2014)
Wang, J., Katabi, D.: Dude, where’s my card? RFID positioning that works with multipath and non-line of sight. ACM SIGCOMM Comput. Commun. Rev. 43(4), 51–62 (2013)
Beyerle, G., Zus, F.: Open-loop GPS signal tracking at low elevation angles from a ground-based observation site. Atmos. Meas. Tech. 10(1), 15–34 (2017)
Gomez-Gil, J., Alonso-Garcia, S., Gómez-Gil, F.J., et al.: A simple method to improve autonomous GPS positioning for tractors. Sensors 11(6), 5630–5644 (2011)
Wang, E., Zhao, W., Cai, M.: Research on improving accuracy of GPS positioning based on particle filter. In: 8th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 1167–1171 (2013)
Yang, L., Yang, G., Zhang, Q., et al.: Management and analysis platform of radio coverage data based on Baidu map. In: Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC), pp. 369–372 (2015)
Acknowledgments
This work is financially supported by the National Natural Science Foundation of P.R. China (No. 61373017, No. 61572260, No. 61572261, No. 61672296, No. 61602261), the Natural Science Foundation of Jiangsu Province (No. BK20140886, No. BK20140888), Scientific & Technological Support Project of Jiangsu Province (No. BE2015702, BE2016185, No. BE2016777), Natural Science Key Fund for Colleges and Universities in Jiangsu Province (No. 12KJA520002), China Postdoctoral Science Foundation (No. 2014M551636, No. 2014M561696), Jiangsu Planned Projects for Postdoctoral Research Funds (No. 1302090B, No. 1401005B), Jiangsu Postgraduate Scientific Research and Innovation Projects (SJLX16_0326), Project of Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks (WSNLBZY201509), NUPTSF (Grant No. NY214060, No. NY214061) and the STITP projects of Bell Honors School of NUPT (No. ZD201606 and No. YB201615).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Qian, C., Xu, H., Li, P., Wang, Y. (2018). Design and Implementation of Urban Vehicle Positioning System Based on RFID, GPS and LBS. In: Barolli, L., Terzo, O. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2017. Advances in Intelligent Systems and Computing, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-61566-0_55
Download citation
DOI: https://doi.org/10.1007/978-3-319-61566-0_55
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-61565-3
Online ISBN: 978-3-319-61566-0
eBook Packages: EngineeringEngineering (R0)