Non-Recurrent Congestion Caused by Freeway Accidents: Which Factors Are Critical?
When considering the extreme difficulty of estimating accident likelihood, the most important potentially soluble factor in the development of congestion management strategies is to identify the factors affecting non-recurrent congestion caused by accidents. Most of all the identification of such factors is required as a basic information for the purpose of accident management strategies as well as for the purpose of congestion management strategies. The objective of this paper is to identify causal factors affecting non-recurrent congestion. To perform this objective, a case study to quantify non-recurrent congestion caused by accidents in terms of total delay is demonstrated by using a previously developed method based on historical inductance loop detector data from six major freeways in Orange County, California. From the case study results, potential factors contributing to non-recurrent congestion are identified by using a Cox model.
- Find a library where document is available. Order URL: http://www.its-jp.org/english/congress_e/
- Abstract used with permission of ITS Japan. Paper No. 4186.
- Corporate Authors:
- Chung, Younshik
- Kim, Hyun
- Yang, Inchul
- 20th ITS World Congress
- Location: Tokyo , Japan
- Date: 2013-10-14 to 2013-10-18
- Publication Date: 2013
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: 14p
- Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings
- TRT Terms: Case studies; Freeways; Incident management; Loop detectors; Mathematical models; Traffic congestion; Traffic crashes; Traffic data
- Geographic Terms: Orange County (California)
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; I71: Traffic Theory; I73: Traffic Control;
- Accession Number: 01538655
- Record Type: Publication
- ISBN: 9784990493981
- Files: TRIS
- Created Date: Aug 29 2014 8:45AM