Application of big data approaches for traffic incident management /
Big data is evolving and maturing rapidly, and much attention has been focused on the opportunities that big data may provide state departments of transportation (DOTs) in managing their transportation networks. Using big data could help state and local transportation officials achieve system reliab...
| Main Author: | |
|---|---|
| Corporate Authors: | , |
| Format: | Book |
| Language: | English |
| Published: |
Washington, D.C. :
Transportation Research Board,
[2023].
|
| Series: | NCHRP research report ;
1071. |
| Subjects: |
| Summary: | Big data is evolving and maturing rapidly, and much attention has been focused on the opportunities that big data may provide state departments of transportation (DOTs) in managing their transportation networks. Using big data could help state and local transportation officials achieve system reliability and safety goals, among others. However, challenges for DOTs include how to use the data and in what situations, such as how and when to access data, identify staff resources to prepare and maintain data or integrate data into existing or new tools for analysis. NCHRP Research Report 1071: Application of Big Data Approaches for Traffic Incident Management, from TRB's National Cooperative Highway Research Program, applies the guidelines presented in NCHRP Research Report 904: Leveraging Big Data to Improve Traffic Incident Management to validate the feasibility and value of the big data approach for Traffic Incident Management (TIM) among transportation and other responder agencies. Supplemental to the report are Appendix A through Appendix P, which detail findings from traditional and big data sources for the TIM use cases, a PowerPoint presentation of the research results and an implementation memo. |
|---|---|
| Physical Description: | 106 pages : illustrations, maps ; 28 cm. |
| Bibliography: | Includes bibliographical references (pages 93-94). |
| ISBN: | 9780309699204 0309699207 |