Study on Route Choice Behavior Control Based on the Internet of Things

The behavior control of a driver's route choice aims at the balance of traffic volume of a road network. Intervention with information during the route choice behavior process can reduce the freedom of route choice and lead to special behavior results. Based on the present situation, this article analyzes the generating way of centralized route guidance under the conditions of the internet of things. It discusses the track results for the simple and complex route when the vehicle follows centralized guidance, with the conclusion that centralized route guidance has closed-loop verifiable advantages over simulation and comparison methods. The technology of internet of things collects vehicles' operation dates dynamically, provides the foundation for centralized guidance, and makes traffic behavior control possible.

• Record URL:
  • https://doi.org/10.1061/9780784412442.090
• 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:
  • Shi, Jianjun
  • Qin, Mengyang
  • Shi, Shengqing
• 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 876-882
• Monograph Title: CICTP 2012: Multimodal Transportation Systems—Convenient, Safe, Cost-Effective, Efficient

Subject/Index Terms

• TRT Terms: Highway traffic control; Information dissemination; Route choice; Route guidance; Routing
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01500608
• Record Type: Publication
• ISBN: 9780784412442
• Files: TRIS, ASCE
• Created Date: Dec 4 2013 11:04AM