  The connected vehicle (CV) data could potentially revolutionize the traffic
monitoring landscape as a new source of CV data that are collected exclusively
from original equipment manufactures (OEMs) have emerged in the commercial
market in recent years. Compared to existing CV data that are used by agencies,
the new-generation of CV data have certain advantages including nearly
ubiquitous coverage, high temporal resolution, high spatial accuracy, and
enriched vehicle telematics data (e.g., hard braking events). This paper
proposed a traffic profiling framework that target vehicle-level performance
indexes across mobility, safety, riding comfort, traffic flow stability, and
fuel consumption. The proof-of-concept study of a major interstate highway
(i.e., I-280 NJ), using the CV data, illustrates the feasibility of going
beyond traditional aggregated traffic metrics. Lastly, potential applications
for either historical analysis and even near real-time monitoring are
discussed. The proposed framework can be easily scaled and is particularly
valuable for agencies that wish to systemically monitoring regional or
statewide roadways without substantial investment on infrastructure-based
sensing (and the associated on-going maintenance costs)
