Travel time prediction for pre-trip information using latest traffic conditions on expressway

This study evaluates a method of providing pre-trip information that predicts congestion and travel time by matching past accumulated traffic data with traffic data on the day of the trip while taking into account the time required to reach the Metropolitan Expressway. Since pre-trip information is available at the time of access to the information media, it is highly likely that the congestion conditions have changed by the time people actually drive on the Metropolitan Expressway. Predicted future travel time is also very useful for drivers to decide their trip departure times. Therefore, it is necessary to provide pre-trip information while predicting traffic fluctuations. The proposed method is verified using observed traffic data on two major radial routes and it is concluded that estimated travel time is accurate enough for the practical use.

• Authors:
  • WARITA, H
  • MORITA, H
  • KUWAHARA, M
  • CHUNG, E
  • TANAKA, A
• Publication Date: 2008

Language

• English

Media Info

• Pagination: 11-19
• Serial:
  • INTERNATIONAL JOURNAL OF ITS RESEARCH
  • Volume: 2
  • Issue Number: 1

Subject/Index Terms

• TRT Terms: Data collection; Forecasting; Intelligent transportation systems; Surveillance; Traffic congestion; Travel time
• ITRD Terms: 632: Congestion (traffic); 8623: Data acquisition; 132: Forecast; 8735: Intelligent transport system; 697: Journey time; 9101: Surveillance
• Subject Areas: Operations and Traffic Management; I70: Traffic and Transport;

Filing Info

• Accession Number: 01109491
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD
• Created Date: Aug 25 2008 8:29AM