| dc.contributor.author | Zhou, Yun | |
| dc.contributor.author | Bridgelall, Raj | |
| dc.description.abstract | GPS loggers and cameras aboard connected vehicles can produce vast amounts of data. Analysts can mine such data to decipher patterns in vehicle trajectories and driver–vehicle interactions. Ability to process such large-scale data in real time can
inform strategies to reduce crashes, improve traffic flow, enhance system operational efficiencies, and reduce environmental
impacts. However, connected vehicle technologies are in the very early phases of deployment. Therefore, related datasets
are extremely scarce, and the utility of such emerging datasets is largely unknown. This paper provides a comprehensive
review of studies that used large-scale connected vehicle data from the United States Department of Transportation
Connected Vehicle Safety Pilot Model Deployment program. It is the first and only such dataset available to the public. The
data contains real-world information about the operation of connected vehicles that organizations are testing. The paper provides a summary of the available datasets and their organization, and the overall structure and other characteristics of the
data captured during pilot deployments. Usage of the data is then classified into three categories: driving pattern identification, development of surrogate safety measures, and improvements in the operation of signalized intersections. Finally, some
limitations experienced with the existing datasets are identified. | en_US |
| dc.rights | In copyright. Permission to make this version available has been granted by the author and publisher. | |
| dc.title | Review of Usage of Real-World Connected Vehicle Data | en_US |
| dc.type | Article | en_US |
| dc.type | Preprint | en_US |
| dc.description | Raj Bridgelall is the program director for the Upper Great Plains Transportation Institute (UGPTI) Center for Surface Mobility Applications & Real-time Simulation environments (SMARTSeSM). | en_US |
| dc.date.accessioned | 2021-08-02T20:00:29Z | |
| dc.date.available | 2021-08-02T20:00:29Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | https://hdl.handle.net/10365/31969 | |
| dc.subject | Connected vehicle. | en_US |
| dc.subject | Intelligent Transportation Systems. | en_US |
| dc.subject | Smart cities. | en_US |
| dc.subject | Signal phase and timing. | en_US |
| dc.subject | Surrogate safety measures. | en_US |
| dc.subject | Risky driving pattern. | en_US |
| dc.subject | Intersection safety | en_US |
| dc.identifier.orcid | 0000-0002-2782-0282 | |
| dc.identifier.orcid | 0000-0003-3743-6652 | |
| dc.identifier.citation | Zhou, Yun and Raj Bridgelall. "Review of Usage of Real-World Connected Vehicle Data." Transportation Research Record: Journal of the Transportation Research Board, DOI:10.1177/0361198120940996, August 17, 2020 | en_US |
| dc.description.uri | https://www.ugpti.org/about/staff/viewbio.php?id=79 | |
| dc.language.iso | en_US | en_US |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.contributor.organization | Upper Great Plains Transportation Institute | |
| ndsu.college | College of Business | |
| ndsu.department | Transportation and Logistics | |
| dc.identifier.doi | 10.1177/0361198120940996 | |
