Vehicle Collision Avoidance Algorithm at Blind Crossing Based on Internet-Connected Vehicles

Vehicle collision at blind crossings is always a critical problem. While many kinds of methods have been proposed to improve intersection safety in the past, the rate of intersection accidents has not significantly changed. With the development of wireless communication technology, vehicular networks that communicate with each other have innovative applications in traffic safety and congestion. On the basis of Internet-Connected Vehicles, this paper puts forward a vehicle collision avoidance algorithm. After analyzing vehicle collision scenarios at intersections, the vehicle detection methods are discussed and vehicle collision avoidance algorithms are proposed. Finally, simulation studies are carried out and the results prove that the proposed cooperative collision avoidance algorithms under Internet-Connected Vehicles environment can provide a smooth trajectory for each vehicle moving in the vicinity of the crossing without a collision.

• Record URL:
  https://doi.org/10.1061/9780784412442.122
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784412442
• Supplemental Notes:
  • © 2012 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Wenjuan, E
  • Wang, Yunpeng
  • Lu, Yingrong
  • Tian, Daxin
  • Lu, Guangquan
• Conference:
  • Twelfth COTA International Conference of Transportation Professionals
  • Location: Beijing , China
  • Date: 2012-8-3 to 2012-8-6
• Publication Date: 2012-8

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 1194-1203
• Monograph Title: CICTP 2012: Multimodal Transportation Systems—Convenient, Safe, Cost-Effective, Efficient

Subject/Index Terms

• TRT Terms: Algorithms; Crash avoidance systems; High risk locations; Internet; Intersections; Traffic safety; Vehicle to vehicle communications; Vehicular ad hoc networks
• Candidate Terms: Vehicle infrastructure integration
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment; I72: Traffic and Transport Planning; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01501052
• Record Type: Publication
• ISBN: 9780784412442
• Files: TRIS, ASCE
• Created Date: Nov 12 2013 2:36PM