Application and Development of Artificial Intelligence in the Field of Traffic Control

As the core force of a new round of scientific and technological revolution and industrial transformation, artificial intelligence is promoting the upgrading of traditional industries, driving the rapid development of “unmanned economy,” and has a positive impact on people’s livelihood in intelligent transportation, intelligent home, intelligent medical care, and other fields. This article focuses on the artificial intelligence development status and application prospects in the traffic control field. By tracing the history of traffic signal control and artificial intelligence, analyzing the limitations of existing hardware and software architecture and the lag of the algorithm in the field of traffic control, to discuss how to apply artificial intelligence technology to traffic signal control systems better, including front roadside unit, the middle signal control machine, and the back end signal control server, so that traffic facilities can see, listen, say, calculate, think, make decisions, and dispatch, to establish an all-round, multi-level traffic control “brain,” make the road traffic control more accurate, more real-time, and more convenient. At the same time, the application of artificial intelligence in the field of transportation, such as driverless driving, intelligent dispatching, route planning, and other applications, is expanded. The issues related to privacy protection, traffic laws, ethics, and others that may be brought by artificial intelligence are considered, and the evasive measures and future development direction are discussed.

• Record URL:
  • https://doi.org/10.1061/9780784484265.022
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784484265
• Supplemental Notes:
  • © 2022 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Wang, Liang
  • Dai, Yu-Pei
  • Zhai, Yun-Feng
  • Gu, Hui-Nan
• Conference:
  • 22nd COTA International Conference of Transportation Professionals
  • Location: Changsha Hunan Province, China
  • Date: 2022-7-8 to 2022-7-11
• Publication Date: 2022

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 231-238
• Monograph Title: CICTP 2022: Intelligent, Green, and Connected Transportation

Subject/Index Terms

• TRT Terms: Artificial intelligence; Ethics; Intelligent transportation systems; Laws; Privacy; Traffic signal control systems
• Subject Areas: Data and Information Technology; Highways; Law; Operations and Traffic Management; Society; Vehicles and Equipment;

Filing Info

• Accession Number: 01862575
• Record Type: Publication
• ISBN: 9780784484265
• Files: TRIS, ASCE
• Created Date: Oct 27 2022 1:45PM