Post-event Connected Vehicle Data Exploration - Lessons Learned

Table of Contents

7. Summary

As connected and autonomous vehicles are deployed, CV data availability and post-CV data analysis are becoming a reality. Post-CV data analysis offers information that transportation professionals never have had before. This new information includes specific roadway geospatial locations where different maneuvers such as acceleration and deceleration occurred and how such maneuvers are tied with roadway physical and operational conditions (e.g., pavement, congestion) and weather (e.g., wet pavement). It will offer decision-makers new tools and information to tackle safety and operational issues. Further information regarding driver seatbelt usage is unprecedented. The seatbelt information covering drivers and front passengers offers comprehensive information on when and under what conditions seatbelts are buckled or unbuckled.

To take advantage of post-CV data, it is imperative to have a suitable platform for data storage, data transmission, accessibility, and analytics. In the authors’ experience, the election of a data platform should be based on the specific programming language the platform supports and the language expertise an organization's analysts possess. Given the size of the data and potential Personal Identifiable Information presence, the authors believe that ownership of the data is significantly less critical than the ability to access and utilize rights of such data. From a cost standpoint, accessing the data would also be significantly lower than owning the data.

Lastly, the authors would like to point out CV data quality issues. Even though CV data are mainly machine-generated, they are also prone to error. Analysts are cautioned that data quality checks should be performed before utilizing the data.

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