Smart Infrastructure for Autonomous Driving in Urban Areas

Autonomous driving (AD) is recognized as a core technology to advance the transportation paradigm shift.[1] Studies have shown that, in the United States, AD may not only reduce up to 94 percent of traffic fatalities by eliminating accidents that are due to human error (NHTSA 2015) but also free up 50 minutes each day per driver (NHTSA 2020). It also has the potential to create a new $1.5 trillion industry by 2030 (Gao et al. 2016). Recent work in vehicle-infrastructure cooperative autonomous driving (VICAD) significantly augments the capability and effectiveness of AD through close coordination with pedestrians, other vehicles, roads and traffic, and the cloud (AIR and Baidu 2021). In this article the authors discuss VICAD’s advantages and challenges to help make autonomous driving a reality with large-scale economic deployment.

• Record URL:
  https://www.nae.edu/290948/Smart-Infrastructure-for-Autonomous-Driving-in-Urban-Areas
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/07376278
• Authors:
  • Zhou, Guyue
  • Shang, Guobin
  • Zhang, Ya-Qin
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Photos; References; Tables;
• Pagination: pp 44-50
• Serial:
  • The Bridge
  • Volume: 53
  • Issue Number: 1
  • Publisher: National Academy of Engineering
  • ISSN: 0737-6278
  • Serial URL: http://www.nae.edu/Publications/Bridge.aspx

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Infrastructure; Intelligent agents; Level 5 driving automation; Urban areas; Vehicle to infrastructure communications
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01884314
• Record Type: Publication
• Files: TRIS
• Created Date: May 31 2023 10:58AM