Research

Lead Researcher(s)

Huei Peng
Roger L McCarthy Professor of Mechanical Engineering, Professor of Mechanical Engineering, College of Engineering and Director of Mcity

Project Team

Tinghan Wang

Huei Peng
Roger L McCarthy Professor of Mechanical Engineering, Professor of Mechanical Engineering, College of Engineering and Director of Mcity

Project Abstract

Test case generation will focus on three scenarios: cut-in, car-following, and left-turn. For each given scenario, easy/medium/hard test cases will be generated.
Test results will be collected using Mcity OS with the following metrics used: time to collision (TTC), shortest distance, and peak deceleration.
Scoring will consist of quantitative definitions of both safety (near-misses) and non-safety criteria such as efficiency, compliance, path tracking, and smoothness.

Project Outcome

Successfully demonstrate behavior competency of Automated Vehicles using a detailed test case generation process, accurate collection and analysis of test results, and a defined scoring method. The objective is to further refine the first ABC Test project (2019), a safety-focused three-pronged approach to win public trust and confidence by validating a vehicle’s safety for selected crash scenarios and many million-miles through the ABCs: Accelerated Evaluation, Behavior Competence, Corner Cases