Road networks are significantly affected by traffic signal operations, which contribute from
5% to 10% of all traffic delay in the USA It is important for agencies to be able to …

Many agencies use Automated Traffic Signal Performance Measures (ATSPMs), which
require vehicle detection and communication equipment, to evaluate traffic signal efficiency …

Emerging high-resolution datasets allow for developing traffic signal performance measures
(TSPMs) which can provide a better understanding of traffic signal operations. One of the …

Abstract Automated Traffic Signal Performance Measures (ATSPMs) uses high-resolution
data to develop operational performance measures for signalized intersections. Split Failure …

Current traffic signal split failure (SF) estimations derived from high-resolution controller
event data rely on detector occupancy ratios and preset thresholds. The reliability of these …

A major safety hazard for e-bike riders crossing an intersection is encountering heavy
vehicles turning right in the same direction, which often results in severe casualties …

Connected automated vehicles (CAVs) have untapped potential to regulate mixed traffic by
orchestrating the movement of human-driven vehicles (HVs) at intersections. This research …

Highlights What are the main findings? Data fuzzification to ensure privacy and fleet mix
changes in a current commercial connected vehicle (CV) trajectory dataset resulted in a data …

While the introduction of emerging technologies has substantially improved the way traffic
signals are operated, most agencies still rely on the traditional approach of retiming, which is …

Light Detection and Ranging (LiDAR) sensors at signalized intersections can accurately
track the movement of virtually all objects passing through at high sampling rates. This study …