| Title | Use of mobile data for weather-responsive traffic management models. |
|---|---|
| Record ID | 47329 |
| Personal Name Creator |
Mahmassani, Hani; Mudge, Richard; Hou, Tian; Kim, Jiwon |
| Corporate Creator | Science Applications International Corporation; Northwestern University (Evanston, Ill.); Delcan |
| Corporate Contributor |
United States. Department of Transportation. Federal Highway Administration. Office of Operations |
| Publisher | United States. Department of Transportation |
| Publication Date | 20121000 |
| Language | English |
| Abstract | The evolution of telecommunications and wireless technologies has brought in new sources of traffic data (particularly mobile data generated by vehicle probes), which could offer a breakthrough in the quality and extent of traffic data. This study reviews the Weather- Responsive Traffic Management Models (WRTM) models which were developed in previous FHWA funded weather-related projects and identifies the components within WRTM framework where mobile data could be incorporated, mainly, (i) supply-side model calibration; (ii) demand-side calibration; (iii) model validation; and (iv) on-line implementation. This report summarizes the unique properties of mobile data in contrast to traditional traffic data, particularly regarding its much wider geographic coverage and travel time information. The different types of mobile data which could be offered from major vendors are also discussed. The study finds that vehicle trajectory data serves best for the purpose of improving WRTM models, from calibration of supply and demand side relations and model validation to the case of the on-line TrEPS implementation. A framework for how to implement the integration of mobile data and WRTM models was also developed. In this project the process of following the framework and incorporating mobile data into WRTM models is demonstrated by a case study. DYNAMSART (DYnamic Network Assignment-Simulation Model for Advanced Road Telematics), a DTA simulation-based TrEPS, is selected for this study. Vehicle trajectory data, collected by vehicles equipped with TomTom GPS devices circulating in New York City area during a two-week period, is also used. |
| Rosap ID | dot:25815 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/25815 |
| ResearchHub ID | 256 |
| TRT Terms | Telecommunications; Wireless communication systems; Traffic data; Mobile communication systems; Measuring probes; Calibration; Weather conditions; Real time information |
| General Subjects | Research Hub |
| Classification | NTL - ENERGY AND ENVIRONMENT - ENERGY AND ENVIRONMENT; NTL - INTELLIGENT TRANSPORTATION SYSTEMS - INTELLIGENT TRANSPORTATION SYSTEMS |
| Geographical Coverage |
United States |
| TRIS Online Accession No |
1495433 |
| Contract Number | DTFH61-06-D-00005, Task T-11-020 |
| Report Number | FHWA-JPO-13-003 |
| Resource type | Tech Report |
| URL | https://ntlrepository.blob.core.windows.net/lib/47000/47300/47329/FHWA-JPO-13-003-Final_Pkg_V1.pdf |
| Format | |
| Database | NTL Digital Repository |