Evaluation of Intersection Performance Under Atc System in Wuhan

DOI: 10.4236/iim.2011.34012   PDF   HTML     4,815 Downloads   8,017 Views  


In order to accurately evaluate the implementation of Area Traffic Control (ATC) system, two situations were compared in this paper, i.e., comparison of intersection performance under two different operation conditions before and after the application of ATC system. Based on floating car theorem, this paper investigated the average intersection delay and the average vehicle stop times. During the traffic investigation, ArcGIS, GPS, VC++ and other technologies have been applied. In addition, the evaluation indices of intersection performance average intersection delay and average vehicle stop times (Guiyan Jiang et al., 2006) were selected and compared. The results showed that both average intersection delay and average vehicle stop times have been reduced after the implementation of ATC system. Improvement of traffic condition is more obvious under cooperative control status. This paper provided a reference for testing the performance of intersections under ATC system.

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H. Ge, Z. Zou and Z. Zhou, "Evaluation of Intersection Performance Under Atc System in Wuhan," Intelligent Information Management, Vol. 3 No. 4, 2011, pp. 105-111. doi: 10.4236/iim.2011.34012.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] J. H. Zhang and H. F. Lin, “The Research of Twice Parking Rate at Planed Signal Intersection,” Transportation Science & Technology, 2004, pp. 96-98.
[2] H. B. Du, “The Urban Road Network Optimization Basing on Unblocked Reliability,” Bei-jing Technology University, Beijing, 2002.
[3] T. Lu and F. Chen, “Intersection Optimal Design Based on Reliability Analysis of the Urban Road Network,” Journal of Highway and Transportation Research and Development, Vol. 11, 2006, pp. 150-152.
[4] B. L. Qian, “Study on the Comprehensive Performance Evaluation of the Mixed Traffic Flows,” Zhejiang University, Hangzhou, 2006.
[5] J. C. Wang, J. Chun and D. Yi, “Performance Analysis of Traffic Networks Based on Sto-chastic Timed Petri Net Models,” Fifth IEEE International Conference (ICECC- S 99), Las Vagas, 1999, pp. 77-85.
[6] W. Brian and C. T. William, “Analysis of Intersection Delay under Real-time Adaptive Signal Contro,” Transportation Research Part C, Vol. 7, No. 1, 1999, pp. 53-72. HHHHHHUUUdoi:10.1016/S0968-090X(99)00011-XUUU
[7] G. Q. Zhang, J. Lu, W. Wang and Q. J. Xiang, “Analysis of a Yield Controlled Highway Intersection Using Microscopic Traffic Simulation,” Asia Simulation Conference, Beijing, 2008, pp. 1487-1492.
[8] K. Li and W. G. Zhu, “Research on Method of Calculating Bus’s Delay Time in Signal-Control Crossing,” Shanxi Architecture, Vol. 33, No. 1, 2007, pp. 34-36.
[9] R. P. Zhai, F. C. Han and Y. L. Zheng, “Simulation Study of Vehicle Stop Times and Parking Rate Basing on CA Traffic Flow Model,” Science and Technology, Vol. 3, 2007, pp. 68-71.
[10] Y. M. Zhao, “Prospect the Effect during the De-velopment of Area Traffic Control in Urumqi,” Journal of the Party School of CPS Urumqi Municipal Committee, Vol. 3, 2003, pp. 60-62.
[11] L. Sims, et al. “SCATS Application and Field Comparison with a TRANSYT Optimized Fixed Time System,” International Conference on Road Traffic Signaling, London, 1982.
[12] Moore, Sims, et al. “Three Traffic Signal Control Philosophies Applied to an Arterial Traffic System,” Australian Road Research Board Proceedings, New South Wales, 1976.
[13] W. R. McShane and R. P. Roess, “Traffic Engineering Prentice-Hall,” Englewood Cliffs, New Jersey, 1990.
[14] W. Wang and X. C. Guo, et al. “Traffic Engineer-ing,” Southeast University, Nanjing, 2000.
[15] B. Zhuang, L. Ma and R. L. Cai, “Vehicle Delay Models by Using Real-Time GPS Data,” Urban Transport of Chi- na, Vol. 7, No. 1, 2009, pp. 66-81.
[16] J. Weymann, J. L. Farges and J. J. Henry, “Individual vs Collective Route Guid-ance,” Proceedings of the IEEEIE- E (Vehicle Navigation and Information Systems Conference), Ottawa, 1993, pp. 353-358.

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