Deriving systemwide granular segment level traffic mobility performance metrics using connected vehicle data to identify improvement opportunities
Rahul Suryakant Sakhare·Darcy M. Bullock·Christopher Gartner·Taylor Ruble·Daniel McCoy·Nathan Shellhamer·Jairaj Desai
Abstract Many state and local agencies’ mobility metrics are based upon selected spot speed studies, modeled segment speeds and modeled intersection delays. Field visits to collect speed and mobility data are expensive, time consuming and do not scale. Connected vehicle (CV) data is an emerging data source that provides richer, higher fidelity, scalable and timelier information. However, the sheer volume of CV data requires additional skills in processing “big data”. As a point of reference, dat