Modeling Lead-Vehicle Kinematics for Rear-End Crash Scenario Generation

Author:

Wu Jian1ORCID,Flannagan Carol2ORCID,Sander Ulrich1ORCID,Bärgman Jonas3ORCID

Affiliation:

1. Volvo Cars Safety Center, Gothenburg, Sweden

2. University of Michigan Transportation Research Institute (UMTRI), Ann Arbor, MI, USA

3. Department of Mechanics and Maritime Sciences, Chalmers University of Technology, Gothenburg, Sweden

Funder

Fordonsstrategisk forskning och innovation (FFT) Program sponsored by Vinnova, the Swedish Governmental Agency for Innovation

Project Improved Quantitative Driver Behavior Models and Safety Assessment Methods for Advanced Driver Assistance Systems (ADASs) and Automated Driving (AD)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference49 articles.

1. New approach of accident benefit analysis for rear end collision avoidance and mitigation systems;Georgi

2. Survey on Scenario-Based Safety Assessment of Automated Vehicles

3. Model Validation and Scenario Selection for Virtual-Based Homologation of Automated Vehicles

4. A comprehensive and harmonized method for assessing the effectiveness of advanced driver assistance systems by virtual simulation: The pears initiative;Yves

5. AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles

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