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Using a Virtual Reality Walking Simulator to Investigate Pedestrian Behavior
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Modelling the pedestrian dilemma zone at uncontrolled midblock sections.

Digvijay S Pawar1, Ankit Kumar Yadav2

  • 1Transportation Systems Engineering, Department of Civil Engineering, Indian Institute of Technology (IIT) Hyderabad, Kandi, Sangareddy 502285, India.

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Pedestrians face risks at high-speed crossings due to difficulty judging traffic gaps. This study models the pedestrian dilemma zone to improve gap acceptance and reduce crashes.

Keywords:
Approach speedBinary logit modelGap acceptancePedestrian crossingVehicle type

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Area of Science:

  • Traffic Safety Engineering
  • Human Factors in Transportation
  • Urban Planning

Background:

  • Pedestrians at high-speed midblock crossings struggle to judge safe gaps, increasing crash risk, especially in developing nations like India.
  • Non-yielding vehicular traffic exacerbates the danger for pedestrians attempting to cross roads.
  • Pedestrians exhibit a dilemma zone, uncertain about accepting or rejecting gaps of intermediate sizes.

Purpose of the Study:

  • To model the pedestrian dilemma zone for high-speed roads (60 km/h speed limit).
  • To analyze spatial gap acceptance behavior of pedestrians at uncontrolled midblock crossings.
  • To provide insights for reducing pedestrian-vehicle crashes.

Main Methods:

  • Field data collection using high-definition video cameras at two uncontrolled midblock crossings in India.
  • Analysis of 1,107 pedestrian observations using binary logit models.
  • Investigating spatial gap acceptance behavior variations.

Main Results:

  • Vehicle speed and distance significantly affect dilemma zone length and distribution.
  • Vehicle type, pedestrian type (alone/group), crossing speed, and waiting time influence gap acceptance.
  • Pedestrian gender was found to have no significant impact on crossing decisions.

Conclusions:

  • Identified dilemma zone boundaries aid pedestrians in judging safe crossing gaps.
  • The proposed dilemma zone assists pedestrians in making precise decisions at high-speed crossings.
  • Aims to reduce the probability of pedestrian-vehicle crashes.