An Improved Travel Time Estimation Method without Signal Timing Data Based on an Individual Probe Car

This study brings forward an improved travel time estimation method without signal timing data for an individual probe car. The method consisted of three modules, the first module used a fuzzy logic algorithm to determine during which signal interval the target probe car arrives at downstream intersection. The second module estimated travel time for target probe cars that arrived at downstream intersections during the green light interval. The third module estimated travel time for target probe cars that arrived at the downstream intersection during a red light interval. The latter two modules didn’t use real-time signal timing data and mostly relied on probe car data to estimate travel time. VISSIM was used with a 30 second sampling interval and performance was compared to that of traditional, direct methods. After analysis, it was discovered that the improved method out-performs the traditional methods at near-saturated traffic conditions.

• Record URL:
  • https://doi.org/10.1061/9780784479896.020
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784479896
• Supplemental Notes:
  • © 2016 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Li, Huibing
  • Bao, Zhijie
  • Yang, Geng
  • Peng, Chao
  • Luo, Lihua
• Conference:
  • 16th COTA International Conference of Transportation Professionals
  • Location: Shanghai , China
  • Date: 2016-6-6 to 2016-6-9
• Publication Date: 2016

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 205-214
• Monograph Title: CICTP 2016: Green and Multimodal Transportation and Logistics

Subject/Index Terms

• TRT Terms: Fuzzy logic; Green interval; Probe vehicles; Traffic signal timing; Travel time
• Subject Areas: Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01606617
• Record Type: Publication
• ISBN: 9780784479896
• Files: TRIS, ASCE
• Created Date: Jul 28 2016 10:48AM