吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 390-398.doi: 10.13229/j.cnki.jdxbgxb201602009

• Orginal Article • Previous Articles     Next Articles

Applicability analysis of vehicle delay models for isolated signalized intersection

YAO Rong-han, LIU Mei-ni, XU Hong-feng   

  1. School of Transportation and Logistics, Dalian University of Technology, Dalian 116024, China
  • Received:2014-07-03 Online:2016-02-20 Published:2016-02-20

Abstract:

To analyze the applicability of four vehicle delay models for signalized intersections, the experimental environments were designed on the basis of certain traffic demands and signal control. First, the degree of difficulty for using the four vehicle delay models was compared in view of model structure and the number of variables. Then, for the microscopic traffic simulation software VISSIM, the impacts of the travel time section and analysis duration on the measured delay were discussed. Finally, several experimental scenarios were designed according to the cross-classification of the intersection degree of saturation and cycle length. The goodness of fit between each vehicle delay model and the simulation model was investigated. Results show that the Webster model is easy to use and apt to underestimate vehicle delay and its applicability is the worst; the ARRB model is more complex and its applicability is the best; the HCM1985 model is also easy to use and it applicability is moderate; the HCM2000 model has broad application range but it is too complex, and its applicability is moderate. On the whole, for isolated signalized intersections, the ARRB model displays the best performance in vehicle delay estimation. This research may provide a theoretical basis and reference to the selection of vehicle delay model.

Key words: engineering of communications and transportation system, vehicle delay model, degree of difficulty, applicability

CLC Number: 

  • U491.2
[1] Webster F V. Traffic signal settings[R]. Road Research Technical Paper No. 39, London: Road Research Laboratory, Her Majesty Stationary Office, 1958.
[2] Akçelik R. Traffic signals: capacity and timing analysis[R]. Research Report No. 123, Vermont South: Australian Road Research Board, 1981.
[3] Transportation Research Board (TRB). Highway capacity manual 1985[R]. Washington DC: National Research Council, 1985.
[4] Transportation Research Board (TRB). Highway capacity manual 2000[R] .Washington DC: National Research Council, 2001.
[5] Arasan V T, Jagadeesh K. Effect of heterogeneity of traffic on delay at signalized intersections[J]. Journal of Transportation Engineering, 1995, 121 (5): 397-404.
[6] 沈旅欧, 刘好德. 信号交叉口控制延误算法的适应性研究[J]. 同济大学学报:自然科学版, 2012, 40(4): 559-563.
Shen Lyu-ou, Liu Hao-de. Applicability study of different control delay calculation methods[J]. Journal of Tongji University (Natural Science), 2012, 40(4): 559-563.
[7] Lin F B, Mazdeyasna F. Delay models of traffic-actuated signal controls[J]. Transportation Research Record, 1983, 905: 33-38.
[8] van Zuylen H J, Viti F. Delay at controlled inter-sections: the old theory revised[C]//2006 IEEE Intelligent Transportation Systems Conference, Toronto, Canada,2006: 17-20.
[9] 庄焰, 曾文佳. 信号交叉口延误计算模型研究[J]. 深圳大学学报:理工版, 2006, 23(4): 309-313.
ZhuangYan, Zeng Wen-jia. Study of traffic delay model at signalized intersection[J]. Journal of Shenzhen University (Science and Engineering), 2006, 23(4): 309-313.
[10] Akgüngör A P. A new delay parameter dependent on variable analysis periods at signalized intersections. part 1: model development[J]. Transport, 2008, 23(1): 31-36.
[11] Mazloumi E, Moridpour S, Mohsenian H. Delay function for signalized intersections in traffic assignment models[J]. Journal of Urban Planning and Development, 2010, 136(1): 67-74.
[12] Chen P, Liu H, Qi H S, et al. Analysis of delay variability at isolated signalized intersections[J]. Journal of Zhejiang University (Science A), 2013, 14(10): 691-704.
[13] Dion F, Rakha H, Kang Y S. Comparison of delay estimates at under-saturated and over-saturated pre-timed signalized intersections[J]. Transportation Research Part B, 2004, 38(2): 99-122.
[14] VISSIM 5.30-05 User Manual[M]. Germany :Planung Transport Verkehr (PTV) AG, 2011.
[15] 姚荣涵, 彭程, 周红媚. 协调控制交叉口短车道长度和配时参数协同优化[J]. 吉林大学学报:工学版, 2015, 45(4): 1082-1087.
Yao Rong-han, Peng Cheng, Zhou Hong-mei. Synergistic optimization of short lane length and signal timing parameters for adjacent intersections with coordinated signals[J].Journal of Jilin University(Engineering and Technology Editon),2015, 45(4): 1082-1087.
[16] Roess R P, Prassas E S, McShane W R. Traffic Engineering[M]. 3rd ed.Beijing: China Machine Press, 2008.
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