Testing Scenario Library Generation for Connected and Automated Vehicle Evaluation

Testing and evaluation is a critical step in the development and deployment of connected and automated vehicles (CAVs), and yet there are no systematic ways or framework to generate testing scenarios for CAV evaluation. The goal of this paper is to develop a general framework that can be used to construct a library of test scenarios and propose the key components in generating those scenarios. To this end, four research problems are identified, and a unified framework is proposed. A hierarchical structure is designed to describe testing scenarios, namely functional scenarios, logical scenarios and specific scenarios. Functional and logical scenarios are identified by investigating the crash typologies from crash databases. A new concept named valuable region is proposed to determine specific scenarios, and a searching method based on optimization and seed-fill is formulated to find the valuable region. A CAV evaluation method using the generated library is also introduced, which includes a e-greedy sampling policy, augmented reality testing environment and index evaluation. Different from previous studies that only focus on evaluating safety, a new index named functionality is proposed to evaluate the efficiency of a CAV in completing different driving tasks. Two case studies are presented to validate the proposed framework and provide guidelines for implementation.

• Supplemental Notes:
  • This paper was sponsored by TRB committee AHB30 Standing Committee on Vehicle-Highway Automation.
• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Feng, Shuo
  • Sun, Haowei
  • Feng, Yiheng
  • Yu, Chunhu
  • Bao, Shan
  • Misra, Aditi
  • Zhang, Yi
  • Liu, Henry X
• Conference:
  • Transportation Research Board 98th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2019-1-13 to 2019-1-17
• Date: 2019

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: 7p

Subject/Index Terms

• TRT Terms: Case studies; Connected vehicles; Evaluation; Intelligent vehicles; Test procedures; Vehicle performance; Vehicle safety; Vehicle tests
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01697382
• Record Type: Publication
• Report/Paper Numbers: 19-03447
• Files: TRIS, TRB, ATRI
• Created Date: Mar 1 2019 3:50PM