Simulation-based model for surrogate safety measures analysis in automated vehicle-pedestrian conflict on an urban environment

Hesham Alghodhaifi; Sridhar Lakshmanan

doi:10.1117/12.2558830

18 May 2020 Simulation-based model for surrogate safety measures analysis in automated vehicle-pedestrian conflict on an urban environment

Hesham Alghodhaifi, Sridhar Lakshmanan

Author Affiliations +

Proceedings Volume 11415, Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure 2020; 1141504 (2020) https://doi.org/10.1117/12.2558830
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

Conflict analysis using surrogate safety measures (SSMs) has turned into an efficient way to investigate safety issues in autonomous vehicles. Previous studies largely focus on video images taken from high elevation. However, it involves overwhelming work, high expense of maintenance, and even security limitations. This study applies a simulation-based model for surrogate safety analysis of pedestrian-vehicle conflicts in urban roads. We show how an automated vehicle system that utilizes a radar and a camera as an input to a Pedestrian Protection System (PPS) can be used for surrogate safety analysis under uncertain weather conditions. Different scenarios for surrogate safety measures were built and analyzed. The detection and tracking systems for vehicle and pedestrian trajectory are modeled. Three SSMs, namely, Pedestrian Classification Time to Collision (PCT), Total Braking Time to Collision (TBT), and Total Minimum Time to Collision (TMT) are employed to represent how spatially and temporally close the pedestrian-vehicle conflict is to a collision. The simulation is built using PreScan, and the software reproduces the test scenarios accurately as well as incorporates vehicle control and logic. The results from our analysis highlight the exposure of pedestrians to traffic conflict both inside and outside crosswalks. The findings demonstrate that simulation-based models can support urban roads safety analysis of autonomous vehicles in an accurate and yet cost-effective way.

Conference Presentation

Citation Download Citation

Hesham Alghodhaifi and Sridhar Lakshmanan "Simulation-based model for surrogate safety measures analysis in automated vehicle-pedestrian conflict on an urban environment", Proc. SPIE 11415, Autonomous Systems: Sensors, Processing, and Security for Vehicles and Infrastructure 2020, 1141504 (18 May 2020); https://doi.org/10.1117/12.2558830

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