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Title: Exploratory Analysis of the Relationships between Congestion, Travel Time Reliability, and Freight-Related Performance Management Measures and Their Associativity with the Roadway Attributes
Accession Number: 01747013
Record Type: Component
Record URL: Availability: Find a library where document is available Abstract: The purpose of this study is to investigate the performance management measures related to highway system reliability, freight, and traffic congestion in light of the federal rulemaking that establishes these performance measures. The study conducts an exploratory analysis to understand their inter-relationships and examines their (un)common underlying attributes to discover their associativity with each of the performance measures. In doing so several traffic and roadway related characteristics of each reporting segment of the National Highway System (NHS) of South Carolina were processed and modeled for the travel time reliability and peak hour excessive delay using generalized linear models with a log-link function. The results from the study indicate that the unreliable Interstate segments contributed to about 87% of the excessive delays on the entire Interstate. It was also found that more than half of the non-Interstate NHS segments that experienced excessive delay, were reliable and they contributed to approximately 52% of the entire peak hour excessive delay of the non-Interstate NHS. The results from the model indicate that the directional annual average daily traffic (AADT) and the urban areas are the two most important attributes positively associated with all three performance measures, while the number of through lanes was found to be negatively associated with all three performance measures. The length of the reporting segments was positively associated with the excessive delays but negatively associated with the travel time reliabilities. The percentage of single trucks was unique to the Interstate delays and positively associated.
Supplemental Notes: The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the information presented. The South Carolina Department of Transportation (DOT) assumes no liability for the contents and their use. The contents do not necessarily reflect the official views or policies of South Carolina DOT.
© National Academy of Sciences: Transportation Research Board 2020.
Language: English
Authors: Siddiqui, ChowdhuryKo, KwanpyoPagination: pp 571-582
Publication Date: 2020-10
Serial:
Transportation Research Record: Journal of the Transportation Research Board
Volume: 2674 Media Type: Web
Features: References
(18)
TRT Terms: Identifier Terms: Geographic Terms: Subject Areas: Freight Transportation; Highways; Operations and Traffic Management; Planning and Forecasting
Files: TRIS, TRB, ATRI
Created Date: Jul 25 2020 3:04PM
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