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Influence of Driving Environment on Safety at Un-signalized T-intersection Under Mixed Traffic Conditions

  • Nishant Pawar
  • Ninad Gore
  • Shriniwas ArkatkarEmail author
Conference paper
Part of the Lecture Notes in Intelligent Transportation and Infrastructure book series (LNITI)

Abstract

Road traffic safety is an important issue and should be given utmost priority by traffic engineers. This research aims to proactively evaluate safety for two un-signalized T-intersections along the western frontier of India with varying driving environment under mixed traffic condition using surrogate safety measure, Post Encroachment Time (PET). PET for different vehicle category as per approach leg was extracted. The Generalized Extreme Value (GEV) was found to be the best fitted distribution for explaining the temporal variations observed in PET values and was further extended to estimate crash probability. It was observed that driving environment has a prominent effect on crash probability. Improved driving environment reduced crash probability at the intersection. Results indicated minor approach road users comparatively have more crash probability to major approach road users. Median to be introduced at undivided intersection to enhance the driving environment and speed breakers, sign board installation is suggested at both the intersections.

Keywords

Driving environment Post encroachment time Generalized extreme value Probability of crash 

References

  1. 1.
    Archer J (2000) Developing the potential of micro-simulation modeling for traffic safety assessment. In: Proceedings of ICTCT conference, CorfuGoogle Scholar
  2. 2.
    Deepak V, Vedagiri P (2014) Proactive evaluation of traffic safety at a un signalized intersection using Micro-Simulation. J Traffic Logist Eng 2(2):140–145CrossRefGoogle Scholar
  3. 3.
    Gettman D, Head L (2003) Surrogate safety measures from traffic simulation models. Transp Res Rec J Transp Res Board 1840:104–115CrossRefGoogle Scholar
  4. 4.
    Klunder G, Abdoelbasier A, Immers B (2004) Development of micro simulation model to predict road traffic safety on intersections with surrogate safety measures. Report TNO, Business Unit Mobility & Logistics, The NetherlandsGoogle Scholar
  5. 5.
    Mishra A, Chepuri A, Arkatkar S, Maji A (2017) Safety evaluation of un-signalized intersection using hybrid approach involving empirical and simulation data sources. In: Presented at 97th annual meeting of Transportation Research Board, Washington, USAGoogle Scholar
  6. 6.
    Pirdavani A, Brijs T, Bellman’s T, Wets G (2010) Evaluation of traffic safety at un-signalized intersections using micro simulation: a utilization of proximal safety indicators. Adv Transp Stud Int J Sect A 22:43–50Google Scholar
  7. 7.
    Reddy S, Chepuri A, Arkatkar S, Joshi GJ (2016) Developing proximal safety indicators for assessment of un-signalized intersection—a case study in Surat, In: 14th world conference on transport research, Tongji University, Shanghai, China, 10–15 July 2016Google Scholar
  8. 8.
    Shekhar Babu S, Vedagiri P (2016) Proactive safety evaluation of a multilane unsignalized intersection using surrogate measures. Transp Lett.  https://doi.org/10.1080/19427867.2016.1230172
  9. 9.
    Songchitruksa P, Tarko A (2006) The extreme value theory approach to safety estimation. Acc Anal Prev 38:811–822CrossRefGoogle Scholar
  10. 10.
    Vogel K (2003) A comparison of headway and time to collision as safety indicators. Accid Anal Prev 35:427–433CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Civil Engineering DepartmentSardar Vallabhbhai National Institute of Technology, SuratSuratIndia

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