Human Driving Data Based Simulation Tool to Develop and Evaluate Automated Driving Systems’ Lane Change Algorithm in Urban Congested Traffic

Dabin Seo; Heungseok Chae; Kyongsu Yi

doi:10.22680/kasa2023.15.2.021

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2023 Vol.15, Issue 2 Preview Page Next Page

Human Driving Data Based Simulation Tool to Develop and Evaluate Automated Driving Systems’ Lane Change Algorithm in Urban Congested Traffic 도심 정체 상황에서의 자율주행 차선 변경 알고리즘 개발 및 평가를 위한 실도로 데이터 기반 시뮬레이션 환경 개발

30 June 2023. pp. 21-27

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Abstract

This paper presents a simulation tool for developing and evaluating automated driving systems’ lane change algorithm in urban congested traffic. The behavior of surrounding vehicles was modeled based on driver driving data measured in urban congested traffic. Surrounding vehicles are divided into aggressive vehicles and non-aggressive vehicles. The degree of aggressiveness is determined according to the lateral position to initiate interaction with the vehicle in the next lane. In addition, the desired velocity and desired time gap of each vehicle are all randomly assigned. The simulation was conducted by reflecting the cognitive limitations and control performance of the autonomous vehicle. It was possible to confirm the change in the lane change performance according to the variation of the lane change decision algorithm.

Keywords

Autonomous vehicle simulation

Human driving data

Vehicles behavior modeling

Lane change

Urban congested traffic

키워드

자율주행 자동차 시뮬레이션

운전자 주행 데이터

차량 거동 모델링

차선 변경

도심 정체 상황

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Information

Publisher :Korean Auto-vehicle Safety Association
Publisher(Ko) :한국자동차안전학회
Journal Title :Journal of Auto-vehicle Safety Association
Journal Title(Ko) :자동차안전학회지
Volume : 15
No :2
Pages :21-27
Received Date : 2021-10-04
Revised Date : 2023-06-19
Accepted Date : 2023-06-20
DOI :https://doi.org/10.22680/kasa2023.15.2.021

Journal of Auto-vehicle Safety Association ISSN:2005-9396(Print) 자동차안전학회지

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