Model-Based Estimation of Congestion-Related Travel Time Losses on Freeways

For economic assessment of road infrastructure investments and evaluation of operational strategies, estimation of travel times is of particular importance. This paper introduces a two-component model to estimate total or average travel times on freeways. The model differentiates between travel times in fluid traffic conditions, which depend on the length of the segment, and congestion-related travel time losses, which depend only on the volume-to-capacity ratio of the bottleneck. On the basis of traffic data from 50 freeway sections in Germany, the total travel time losses from congestion occurring in 1 year are estimated by macroscopic simulation. With the simulation model, the travel time losses can be related to the volume-to-capacity ratio of the hour in which the congestion was caused. A model function was developed to represent the congestion-related travel time losses in relation to the volume-to-capacity ratio. The application of the model for the assessment of operational strategies is demonstrated for the example of hard-shoulder running on freeways.

• Record URL:
  https://doi.org/10.3141/2470-08
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309295666
• Authors:
  • Geistefeldt, Justin
  • Hohmann, Sandra
• Publication Date: 2014

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 78–85
• Monograph Title: Freeway Operations; Regional Systems Management and Operations; Managed Lanes 2014
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2470
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Bottlenecks; Estimating; Freeways; Highway capacity; Infrastructure; Macroscopic traffic flow; Mathematical models; Paved shoulders; Traffic congestion; Traffic flow; Traffic simulation; Traffic volume; Travel time
• Geographic Terms: Germany
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control;

Filing Info

• Accession Number: 01516090
• Record Type: Publication
• ISBN: 9780309295666
• Report/Paper Numbers: 14-3808
• Files: PRP, TRIS, TRB, ATRI
• Created Date: Feb 27 2014 9:06AM