Vehicle-pedestrian interaction: A distributed simulation study

Ehsan Sadraei, Richard Romano, Natasha Merat, Jorge Garcia De Pedro, Yee Mun Lee, Ruth Madigan, Chinebuli Uzondu, Wei Lyu, Andrew Tomlinson

Research output: Contribution to journalConference proceeding article (ISSN)peer-review

2 Citations (Scopus)
10 Downloads (Pure)


With emerging autonomous vehicle technologies, their interaction in a mixed traffic environment with existing road users such as human driven vehicles and pedestrians has been highlighted for further research and modelling. The real-world study of the interactions is typically limited for ethical and control reasons. In this paper, a distributed simulation involving human and automated driven vehicles is introduced and implemented to facilitate the evaluation of the interactions. This provides a safe and reproducible virtual environment that can involve multiple road users simultaneously. An experiment is designed and conducted to compare pedestrian crossing decision and behaviour between autonomous and human driven cars. In this paper the distribute simulation of the newly built Highly Immersive Kinematic Experimental Research (HIKER) pedestrian simulator and a desktop driving simulator is introduced, and part of the experiment results for vehicle performance between the autonomous and human driven vehicles in a pedestrian crossing scenario is presented and discussed.

Original languageEnglish
Pages (from-to)147-154
Number of pages8
JournalActes (IFSTTAR)
Publication statusPublished - 11 Sept 2020
EventDriving Simulation and Virtual Reality Conference and Exhibition, DSC 2020 EUROPE - Antibes, France
Duration: 9 Sept 202011 Sept 2020


  • Autonomous Vehicle
  • Distributed Simulation
  • Pedestrian Crossing Behaviour


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