| Title | Maintenance Decision Support Systems: A Proven, Cost-Effective Tool for State and Local DOTs |
|---|---|
| Record ID | 33722 |
| Personal Name Creator |
Pisano, Paul A. |
| Corporate Creator | United States. Department of Transportation. Road Weather Management |
| Corporate Contributor |
United States. Department of Transportation. Office of Transportation Management |
| Publisher | United States. Federal Highway Administration |
| Publication Date | 20100200 |
| Language | English |
| Abstract | When state or local departments of transportation (DOT) prepare for a snow or ice storm, they do more than operate snow plows. Timely decisions must be made on when to call in crews, whether overtime will be required, what kinds and how much material to load on trucks, whether and when to pretreat the roads, and how to optimize equipment assignments. During a storm event, supervisors also make ongoing tactical decisions based on a storm’s progress and the effectiveness of maintenance activities, all of which has immediate and vital consequences for the agency, the traveling public, and the environment. A proven, cost-effective tool called the Maintenance Decision Support System (MDSS) is increasingly being used by state and local maintenance departments for reliable and accurate decision-making under stressful weather and adverse roadway conditions. |
| Rosap ID | dot:37459 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/37459 |
| ResearchHub ID | 377 |
| TRT Terms | Road weather information systems; Cost effectiveness; Decision making; Decision support systems; Snow and ice control; Snow removal |
| General Subjects | Road weather information; Baselining road weather information; Quality attribute matrix; Highways; Maintenance and Preservation; I62: Winter Maintenance; Research Hub |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1173230 |
| Report Number | FHWA-JPO-10-032; EDL 14939 |
| Availability | Intelligent Transportation Systems Joint Program Office |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/33000/33700/33722/mdss_pdf.pdf |
| Format | |
| Database | NTL Digital Repository |