Highway Level of Service Evaluation Using the Reliability Model
The highway network toll data are used for extracting the travel time distribution. Three indexes are put forward to compare the fitting results, including error sum squares (SSE), the determination coefficient (R2), and cumulative distribution of the error sum squares (SSE of CDF). The results show that it is the most appropriate to model the travel time with the extreme value distribution, compared with log-normal, normal, and Weibull distribution models. On the basis of annual average daily traffic data, the level of service (LOS) is quantified by the evaluation index of the service reliability. The evaluation method of highway LOS is established. Finally, an example of verification is carried out on the highway sections in the Shaan’xi province. Evaluation results show that reliability can reflect the quality of highway sections and the fluctuation objectively. It is more suitable than the traditional LOS on describing the actual conditions in highway networks. The proposed method is effective as the calculated result is consistent with the actual observation.
- Record URL:
-
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:
- Chen, Jiao-Na
- Zhang, Sheng-Rui
- Jin, Yin-Li
-
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 128-140
- Monograph Title: CICTP 2016: Green and Multimodal Transportation and Logistics
Subject/Index Terms
- TRT Terms: Highway operations; Level of service; Travel time
- Geographic Terms: China
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01606581
- Record Type: Publication
- ISBN: 9780784479896
- Files: TRIS, ASCE
- Created Date: Jul 28 2016 10:48AM