| Title | Analytical Procedures for Determining the Impacts of Reliability Mitigation Strategies [supporting datasets] |
|---|---|
| Record ID | 61975 |
| Personal Name Creator |
Margiotta, Richard; Lomax, Timothy J.; Hallenbeck, Mark E; Dowling, Richard G.; Skabardonis, Alexander; Turner, Shawn |
| Personal Name Contributor |
Levinson, Herbert S.; Rakha, Hesham A.; Hyman, William A. |
| Source | Source: Provided by ITS DataHub (its.dot.gov/data) through the National Transportation Library. |
| Corporate Creator | Cambridge Systematics; Texas A&M Transportation Institute; University of Washington; Dowling Associates; Street Smarts, Inc.; Second Strategic Highway Research Program (U.S.) |
| Corporate Contributor |
National Research Council (U.S.). Transportation Research Board; United States. Federal Highway Administration; American Association of State Highway and Transportation Officials (AASHTO) |
| Publisher | United States. Department of Transportation. National Transportation Library [distributor] |
| Publication Date | 20121130 |
| Language | English |
| Abstract | Source: Provided by ITS DataHub (its.dot.gov/data) through the National Transportation Library. The objective of this project was to develop technical relationships between reliability improvement strategies and reliability performance metrics. This project defined reliability, explained the importance of travel time distributions for measuring reliability, and recommended specific reliability performance measures. The research reexamined the contribution of the various causes of nonrecurring congestion on urban freeway sections, however, some attention was also given to rural highways and urban arterials). Numerous actions that can potentially reduce nonrecurring congestion were identified with an indication of their relative importance. Models for predicting nonrecurring congestion were developed using three methods, all based on empirical procedures: The first involved before and after studies; the second was termed a 'data poor' approach and resulted in a parsimonious and easy-to-apply set of models; the third was entitled a 'data rich model' and used cross-section inputs including data on selected factors known to directly affect nonrecurring congestion. An important conclusion of the study is that actions to improve operations, reduce demand, and increase capacity all can improve travel time reliability. The zip file contains comma separated value (.csv) files of data to support SHRP 2 report S2-L03-RR-1, Analytical procedures for determining the impacts of reliability mitigation strategies.Zip size is 1.83 GB. Files were accessed in Microsoft Excel 2016. Data will be preserved as is. To view publication see: https://rosap.ntl.bts.gov/view/dot/3605 |
| Public Note | Direct data download link: https://doi.org/10.21949/1500853 |
| Rosap ID | dot:3619 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/3619 |
| TRT Terms | Before and after studies; Highway traffic control; Highways; Improvements; Nonrecurrent congestion; Strategic planning; Traffic congestion; Travel time; Uncertainty; Intelligent transportation systems |
| General Subjects | Travel time reliability; travel time variability; Strategic Highway Research Program 2 (SHRP2); SHRP2 Project L03 |
| Geographical Coverage |
United States |
| Contract Number | 826192702 |
| Report Number | SHRP 2 Report S2-L03-RR-1 |
| Resource type | Dataset |
| URL | https://ntlrepository.blob.core.windows.net/lib/61000/61900/61975/L03_Reliability_Mitigation_Strategies_SHRP_S2L03RR1_2017_Data_Description_20180516_02.pdf |
| Alternative URL | https://ntlrepository.blob.core.windows.net/lib/61000/61900/61975/usdot_itsjpo_shrp2_L03_20190523.json |
| Format | ZIP |
| Database | NTL Digital Repository |