| Title | Integrating Emerging Data Sources into Operational Practice : Opportunities for Integration of Emerging Data for Traffic Management and TMCs. |
|---|---|
| Record ID | 62832 |
| Personal Name Creator |
Gettman, Douglas; Toppen, Alan; Hales, Kelsey; Voss, Alison; Engel, Shane; El Azhari, Dayana |
| Corporate Creator | Kimley-Horn and Associates; Deloitte Consulting LLP; Cambridge Systematics |
| Corporate Contributor |
United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office; United States. Department of Transportation. Federal Highway Administration. Office of Operations |
| Publisher | United States. Department of Transportation. Intelligent Transportation Systems Joint Program Office |
| Publication Date | 20171101 |
| Language | English |
| Abstract | With the emergence of data generated from connected vehicles, connected travelers, and connected infrastructure, the capabilities of traffic management systems or centers (TMCs) will need to be improved to allow agencies to compile and benefit from using this information. New capabilities will be needed for data acquisition, communications bandwidth from the roadside to the TMC, new computing hardware, software, data storage and management systems, decision support subsystems, and data sharing and dissemination systems. The magnitude of what capabilities will be needed by individual TMCs, agencies and service providers will vary across regions. Regardless of the size of the traffic management system and TMC capabilities, the big data tools and technologies and systems are likely quite similar. The purpose of this report is to: • Identify how big data tools and technologies can be used in traffic management systems or TMCs; Develop potential use cases for integrating big data technology and tools into traffic management systems or TMCs; Assess how connected vehicle and traveler related data could be used to enhance the operation of traffic management systems or TMCs; Analyze how the sharing of data with other TMCs, systems, connected vehicles and travelers; and agency business processes or systems could impact the performance of a traffic management system or TMC; and Identify the challenges and options to consider to compile, use and share this data. |
| Rosap ID | dot:34175 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/34175 |
| TRT Terms | Highway traffic control systems; Advanced traffic management systems; Highway operations; Intelligent vehicles; Vehicle to infrastructure communications; Mobile communication systems; Traffic control centers |
| General Subjects | Transportation System Management and Operations (TSMO); emerging data sources; connected travelers; connected vehicles; connected infrastructure; big data tools and technologies; Hadoop; real-time streaming, Hadoop Distributed File System (HDFS) |
| Classification | NTL - INTELLIGENT TRANSPORTATION SYSTEMS - INTELLIGENT TRANSPORTATION SYSTEMS |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1671750 |
| Contract Number | DTFH61-12-D-00042 |
| Report Number | FHWA-JPO-18-625 |
| Availability | Intelligent Transportation Systems Joint Program Office |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/62000/62800/62832/FHWA-JPO-18-625__1_.pdf |
| Format | |
| Database | NTL Digital Repository |