A Fuzzy Logic Method of Traffic State Recognition on Urban Traffic Networks

Abstract:

The study object is traffic flow on main road of urban traffic networks, the traffic condition is recognized by traffic flow theory and fuzzy logic method. The average space speed is a variable of the fact flow function, the road congestion degree is described by the ratio of fact flow and traffic capacity; the ratio of congestion time length and total time length is the congestion frequency. Considering congestion degree and congestion frequency, a fuzzy logic method is used to describe the traffic state by three grades: free, congestion and serious congestion. At last, the numerical example is given to analyze traffic state.

• Periodical: Advanced Materials Research (Volumes 546-547)
• Pages: 1071-1074
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.546-547.1071
• Online since: July 2012
• Authors: Jian Ling Wang, Hong Bo Lai
• Keywords: Congestion, Fuzzy Logic, Traffic Engineering (TE), Urban Traffic Networks

References

[1] Jiangfeng Wang. Study on Automatic Recognition of Traffic Congestion on Freeway. Master`S Degree Thesis of Jilin University, March (2004), pp.3-4.

[2] Guiyan Jiang. Technologies and Applications of the Identification of Road Traffic Conditions. Beijing: China Communications Press, November (2004), pp.52-53, 68, 70, 103-108, 162-165, 177.

[3] Jia Lu. Traffic Congestion Measurement and Detection Method Based on Floating Car. Master`S Degree Thesis of Tsinghua University, December(2000), pp.14-21.

[4] B.S. Kerner．Tracing and forecasting of congested patterns for highway traffic management．2001 IEEE ITSC Proceedings, August (2001), pp.25-29.

[5] Wei Wang, Xiucheng Guo. Traffic Engineering. Nanjing: Southeast University Press, October (2000), p.84.

[6] Ke Liu, Xiang Fei. A fuzzy-logic-based system for freeway bottleneck severity diagnosis in a sensor network. Transportation Research Part C, Vol. 18 (2010), pp.54-567.

DOI: 10.1016/j.trc.2009.11.002

[7] Wang jianling, Pu Yun. Recognition and Analysis of Intersection Congestion. Proceedings of the 8th International Conference of Chinese Logistics and Transportation Professionals - Logistics: The Emerging Frontiers of Transportation and Development in China(ICCLTP2008), pp.1125-1130.

[8] Wang jianling, Yang xiaoguang, Wang jianhong. Research on Route Choice of Logistics Transportation in Urban Traffic Networks. ICLEM2010, pp.16-20.

[9] Erik T. Verhoef. Time, speeds, flows and densities in static models of road traffic congestion and congestion pricing. Regional Science and Urban Economics. Vol. 29 (1999), pp.341-365.

DOI: 10.1016/s0166-0462(98)00032-5