A Comparative Analysis for Signal Timing Strategies Under Different Weather Conditions

  • Weiwei QiEmail author
  • Huiying Wen
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 98)


This paper provides design and evaluation of two signal timing strategies with five cases respectively under different degree of weather condition. The main aim of this project is finding out the most suitable signal timing strategies depending on the weather condition by comparing the analysis results. The procedure mainly includes two parts in traffic signal design, which are signal timing plans design and performance analysis. Methods of design and performance analysis include Webster’s signal timing method, Akcelik’s signal timing method and HCM delay method. It is clear that the weather factor has huge impact on performance of signalized intersection. Apparently, compared to strategy B, strategy A is more suitable for bad weather condition.


Signal timing strategy Weather condition Level of service 



The study is supported by the National Natural Science Foundation of China (NO. 71701070), the Natural Science Foundation of Guangdong Province (NO. 2016A030310427).


  1. 1.
    Keyvan-Ekbatani, M., Papageorgiou, M., Knoop, V.L.: Controller design for gating traffic control in presence of time-delay in urban road networks. Transp. Res. Part C 59, 308–322 (2015)CrossRefGoogle Scholar
  2. 2.
    Goodwin, L.C., Pisano, P.A.: Weather-responsive traffic signal control. ITE J. 74(6), 28–33 (2004)Google Scholar
  3. 3.
    Coates, L.: Flood fatalities in Australia, 1788–1996. Aust. Geogr. 30(3), 391–408 (1999)CrossRefGoogle Scholar
  4. 4.
    Wang, S., Meng, Q., Liu, Z.: Fundamental properties of volume-capacity ratio of a private toll road in general networks. Transp. Res. Part B 47, 77–86 (2013)CrossRefGoogle Scholar
  5. 5.
    Zhou, M., Qu, X., Li, X.: A recurrent neural network based microscopic car following model to predict traffic oscillation. Transp. Res. Part C 84, 245–264 (2017)CrossRefGoogle Scholar
  6. 6.
    Qu, X., Wang, S., Zhang, J.: On the fundamental diagram for freeway traffic: a novel calibration approach for single-regime models. Transp. Res. Part B 73, 91–102 (2015)CrossRefGoogle Scholar
  7. 7.
    Sharma, A., Bullock, D., Peeta, S., Krogmeier, J.: Detection of inclement weather conditions at a signalized intersection using a video image processing algorithm. In: 4th IEEE Digital Signal Processing Workshop and 12th Signal Processing Education Workshop, pp. 150–155 (2006)Google Scholar
  8. 8.
    Shin, C.H., Choi, K.: Saturation flow rate estimation under rainy weather conditions for on-line traffic control purpose. KSCE J. Civ. Eng. 2(3), 211–222 (1998)CrossRefGoogle Scholar
  9. 9.
    Al-Kaisy, A., Freedman, Z.: Weather - responsive signal timing: practical guidelines. Transp. Res. Rec. J. Transp. Res. Board 1978(1), 49–60 (2006)CrossRefGoogle Scholar
  10. 10.
    Qu, X., Zhang, J., Wang, S.: On the stochastic fundamental diagram for freeway traffic: Model development, analytical properties, validation, and extensive applications. Transp. Res. Part B 104, 256–271 (2017)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Civil Engineering and TransportationSouth China University of TechnologyGuangzhouChina

Personalised recommendations