Road traffic states estimation algorithm based on matching of regional traffic attracters

Journal of Central South University

Volumn 21, Issue 5, 2014, Pages 2100-2107

  Xu, Dong Wei ^a   Dong, Hong Hui ^a   Jia, Li Min ^a   Tian, Yin ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

data recovery; matching; regional traffic attracter; road traffic; traffic state

Indexed keywords

ALGORITHMS; RECOVERY;

DATA RECOVERY; EFFECTIVE MATCHING; ESTIMATION ALGORITHM; ESTIMATION APPROACHES; OPTIMAL MATCHING; REGIONAL TRAFFIC ATTRACTER; ROAD TRAFFIC; TRAFFIC STATE;

ESTIMATION;

EID: 84900871489     PISSN: 20952899     EISSN: 21622388     Source Type: Journal    
DOI: 10.1007/s11771-014-2159-1     Document Type: Article

References (16)

1. LAO Yun-teng, YUN Mei-ping, TANG Shou-peng, WANG Chuo-rang, YANG Xiao-guan, HAO Chu. Evaluation method for accuracy of road traffic state information [C]//American Society of Civil Engineers, Chengdu, 2007: 883-888.
2. CHEN Chao, KWON J, RICE J, SKABARDONIS A, VARAIYA P. Detecting errors and imputing missing data for single loop surveillance systems [J]. Transportation Research Record: Journal of the Transportation Research Board, 2003, 1855(1): 160-167.
3. ZOU Hai-xiang, YUE Yang, LI Qing-quan, YE Jia-an. Traffic data interpolation method of non-detection road link based on Kriging interpolation [J]. Journal of Traffic and Transportation Engineering, 2011, 11(3): 118-126. (in Chinese)
4. GUO Min, LAN Jin-hui, LI Juan-juan, LIU Zong-shu, SUN Xin-rong. Traffic flow data recovery algorithm based on gray residual GM(1, N) model [J]. Journal of Transportation Systems Engineering and Information Technology, 2012, 12(1): 42-47.
5. MIN W, WYNTER L. Real-time road traffic prediction with spatio-temporal correlations [J]. Transportation Research Part C: Emerging Technologies, 2011, 19(4): 606-616.
6. DONG Hong-hui, SUN Xiao-liang, JIA Li-min, LI Hai-jian, QIN Yong. Traffic condition estimation with pre-selection space time model [J]. Journal of Central South University, 2012, 19(1): 206-212.
7. TAN Hua-chun, FENG Jian-shuai, FENG Guang-dong, WANG Wu-hong, ZHANG Yu-jin. Traffic volume data outlier recovery via tensor model [J]. Mathematical Problems in Engineering, 2013, 1151(10): 1-8.
8. HERRING R, HOFLEITNER A, AMIN S, et al. Using mobile phones to forecast arterial traffic through statistical learning [C]//Proc 89th Transportation Research Board Annual Meeting. Washington, DC, 2010: 10-14.
9. GUAN Hai-shuang, MA Wen-ge, MENG Yan-yu. Traffic flow prediction based on hierarchical genetic optimized algorithm [C]//Innovative Computing Information and Control. Dalian: IEEE Press 2008: 121-121.
10. SUN Zhan-quan, WANG Ying-long, PAN Jing-shan. Short-term traffic flow forecasting based on clustering and feature selection [C]//International Joint Conference on Neural Networks. Hongkong: IEEE Press, 2008: 577-583.
11. DONG Hong-hui, JIA Li-min, SUN Xiao-liang, LI Chen-xi. Road traffic state prediction with a maximum entropy method [C]//5th International Joint Conference on INC. IMS and IDC. Seoul: IEEE Computer Society, 2009: 628-630.
12. XU Jian-rui, LI Xing-yi, and SHI Hua-ji. Short-term traffic flow forecasting model under missing data [J]. Journal of Computer Applications, 2010, 30(4): 1117-1120. (in Chinese)
13. van LINT J W C, HOOGENDOORN S P, van ZUYLEN H J. Accurate freeway travel time prediction with state-space neural networks under missing data [J]. Transportation Research Part C: Emerging Technologies, 2005, 13(5): 347-369.
14. SUN Jian, ZHANG Lun. Vehicle actuation based short-term traffic flow prediction model for signalized intersections [J]. Journal of Central South University, 2012, 19(1): 290-301.
15. XU Dong-wei, DONG Hong-hui, JIA Li-min, QIN Yong. Virtual speed sensors based algorithm for expressway traffic state estimation [J]. Science China Technological Sciences, 2012, 55(5): 1381-1390.
16. XU Dong-wei, DONG Hong-hui, LI Hai-jian, JIA Li-min. The Recovery Algorithm for Road Traffic Parameters Based on Compressive Sensing [J]. Journal of Transportation Systems Engineering and Information Technology, 2013, 13(6): 67-72.