Dynamic Routing on Freeway Systems Using Automatic Vehicle Identification (AVI) Data

Details

• Creators:
  Rilett, Laurence R.
• Corporate Creators:
  Texas Transportation Institute. Texas A&M University
• Corporate Contributors:
  Texas Department of Transportation ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Automatic Vehicle Identification Data Analysis Freeways Real Time Control Routing Test Beds Travel Time
• Publication/ Report Number:
  FHWA/TX-01/1752-8
• Resource Type:
  Tech Report
• Geographical Coverage:
  Texas ; United States
• Edition:
  Letter Report: September 1998 - August 2000
• Corporate Publisher:
  Texas Transportation Institute. Texas A&M University
• Abstract:
  This report examines issues related to identifying the potential routes and their associated attributes for an individual wishing to travel along the Houston freeway network. A dynamic approach is taken whereby the link travel time that is used in calculating the route travel time is based on the time the drivers arrive at a given link rather than the time when they began their journeys. The link travel times were calculated using Automatic Vehicle Identification (AVI) data from a test bed on U.S. 290. It was found that real-time link travel times are relevant, as compared to historical link travel times, for approximately 20 minutes into the future. In contrast, forecast link travel times are relevant, as compared to historical link travel times, for approximately 30 to 35 minutes on average. A prototype computer model has been developed for examining dynamic routing issues and tested on the Houston network. It was demonstrated that in certain situations, particularly those for longer distance trips, a driver has a choice of routes in the Houston network and that often the different route travel times are not statistically different. In this situation it may be best to allow an option whereby the routes and their attributes are provided to the driver rather than a recommendation of the best or fastest route.
• Format:
  PDF
• Funding:
  0-1752
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:5ee0fb2756ec2b86bfd1e5dc802083292b76f7741bd7e414d9c64bb8e157c87fae10e6da844442f78e6b12b66e943f9df0751153a9482376e3b81c405e37ec16
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/86145/dot_86145_DS1.pdf
• File Type:
  [PDF - 7.41 MB ]