City Routing Velocity Estimation Model under theEnvironment of Lack of Floating Car Data
Chun Liu, Nan Li, Meixian Huang, Hangbin Wu
.
DOI: 10.4236/jgis.2012.41008   PDF    HTML     4,396 Downloads   7,616 Views   Citations

Abstract

After introducing the principle of float car data (FCD), this paper gives the primary flow of pre-handing and map- matching of the FCD. After analyzing the percentage of coverage of FCD on the road network, large quantity of heritage database of routing status is used to estimate the routing velocity when lack of FCD on parts road segments. Multi liner regression model is then put forwarded by considering the spatial correlativity among the road network, and some model parameters are deduced when time series is classified in day and week. Besides, error of velocity probability and error of status probability are achieved based on the result from field testing while the feasibility and reliability of the velocity estimation model is obtained as well. Finally, as a case study in Shanghai center area, the whole routing velocity in the road network is estimated and published in real time.

Share and Cite:

C. Liu, N. Li, M. Huang and H. Wu, "City Routing Velocity Estimation Model under theEnvironment of Lack of Floating Car Data," Journal of Geographic Information System, Vol. 4 No. 1, 2012, pp. 55-61. doi: 10.4236/jgis.2012.41008.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] M. Fukui and Y. Sugiyama, “Traffic and Granular Flow,” Springer, Tokyo, 2002.
[2] B. S. Kerner, “The Physics of Traffic,” Springer, Berlin, 2004.
[3] C. Liu, X. L. Meng and Y. M. Fan, “Determination of Routing Velocity with GPS Floating Car Data and Web- GIS Based Instantaneous Traffic Information Dissemination,” Journal of Navigation, Vol. 61, No. 2, 2008, pp. 337-353.
[4] S. Turksma, “The Various Uses of Floating Car Data. Road Transport Information and Control,” Tenth International Conference (Conference Publication No. 472), London, 4-6 April 2000.
[5] S. Lorkowski, P. Mieth and R.-P. Schafer, “New ITS Applications for Metropolitan Areas Based on Floating Car Data,” ECTRI Young Researcher Seminar, Den Haag, 2005.
[6] B. S. Kerner, C. Demir, R. G. Herrtwich, S. L. Klenov, H. Rehborn, M. Aleksic and A. Haug, “Traffic State Detection with Floating Car Data in Road Networks,” Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems, Vienna, 13-15 September 2005, pp. 44-49. doi:10.1109/ITSC.2005.1520133
[7] Z. Q. Zhang, “Technology Research of Traffic Data Capture from Float Car Data,” Master Dissertation, Tongji University, Shanghai, 2008.
[8] J. Su, D. F. Zhou and C. S. Yue, “Real-Time Map- Matching Algorithm in GPS Navigation System for Vehicles,” Acta Geodaetica et Carto Graphica Sinica, Vol. 3, No. 3, 2001, pp. 252-256.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.