For this product, the research team will ascertain the potential value of CV data to transportation agencies via a detailed assessment of various CV datasets obtained from both public and private sources. Many resources are already available that describe the immediate, individual vehicle safety applications, such as emergency brake light warning and red-light violation warning. This product will not revisit these materials; rather, it will focus on using the CV data for managing roadways and planning future operations. It will also consider the use of data from dedicated CV deployments in conjunction with other types of vehicle data. This data are often captured by traffic information providers using conventional cellular technologies and provided to public agencies for a fee. 

Public datasets used in the analysis will be obtained from both federal and state/local sources. The datasets are available on the ITS JPO Connected Vehicle Pilot Open Data portal (Wyoming DOT, Tampa-Hillsborough Expressway Authority (THEA), and New York City DOT pilot projects), as well as state/local pilot projects, such as the ones currently being conducted in Colorado, Georgia, and Utah. NCHRP 08-116 identified over 70 CV pilot projects in the nation; this list will be used to identify pilot projects with large enough datasets that allow for insightful assessment and good representation of CV scenario from transit to traffic signal and highway.

Private sector datasets, which are typically more difficult to obtain, will be requested as samples through existing connections with automotive manufacturers. The team recognizes that access to private connected vehicle data may be limited or subject to limitations.

The quality and integrability of each collected dataset will then be assessed independently and within the context of specific use cases requirements. This will infer the readiness and potential of current CV data to support them. The assessment will identify gaps, barriers, and limitations associated with leveraging each data source, as well as a mapping of data sources to use cases. One of the items that will set this project apart from most prior studies is that it will look at actual data sets, including data gaps, bad data, and coverage limitations, rather than simply considering the theoretical possibilities assuming large scale equipage and perfect data. Given the time frame for the turnover of the private sector vehicle fleet, the focus will be on applications using either public sector fleet vehicles or those that can work with low market penetration levels of private vehicles.  

An assessment of one or more CV datasets, along with associated guidance, could help agencies develop a better understanding about the quality, completeness, size, needs, and potential use cases for CV data. Guidance could also help agencies overcome common barriers with the procurement process (e.g., establish requirements).

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