Multi-agent traffic simulations to estimate the impact of automated technologies on safety

Traffic Injury Prevention
Sou KitajimaNobuyuki Uchida

Abstract

Objective: The objective of this article was to develop a multi-agent traffic simulation methodology to estimate the potential road safety improvements of automated vehicle technologies. Methods: We developed a computer program that merges road infrastructure data with a large number of vehicles, drivers, and pedestrians. Human errors are induced by modeling inattention, aimless driving, insufficient safety confirmation, misjudgment, and inadequate operation. The program was applied to simulate traffic in a prescribed area in Tsukuba city. First, a 100% manual driving scenario was set to simulate traffic for a total preset vehicle travel distance. The crashes from this simulation were compared with real-world crash data from the prescribed area from 2012 to 2017. Thereafter, 4 additional scenarios of increasing levels of automation penetration (including combinations of automated emergency braking [AEB], lane departure warning [LDW], and SAE Level 4 functions) were implemented to estimate their impact on safety. Results: Under manual driving, the system simulated a total of 859 crashes including single-car lane departure, car-to-car, and car-to-pedestrian crashes. These crashes tended to occur in locations similar to real-world...Continue Reading

References

May 4, 2015·Accident; Analysis and Prevention·B FildesC Tingvall
Feb 24, 2016·Proceedings of the National Academy of Sciences of the United States of America·Thomas A DingusJonathan Hankey
Jul 18, 2016·Accident; Analysis and Prevention·Frank Westerhuis, Dick De Waard
Sep 3, 2016·Traffic Injury Prevention·Irene Isaksson-Hellman, Magdalena Lindman
Apr 1, 2018·Accident; Analysis and Prevention·Ulrich Sander, Nils Lubbe
Jan 6, 2019·Accident; Analysis and Prevention·Alkis PapadoulisMarianna Imprialou

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Citations

Dec 21, 2020·Accident; Analysis and Prevention·Alexandros LeledakisLotta Jakobsson

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Software Mentioned

Aimsum
Vissim

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