ABSTRACT Connected Vehicles (CVs) could enhance traffic management systems by
providing detailed and real-time information. Theoretically, such information can be …

Existing adaptive traffic signal control (ATSC) systems rely on dedicated fixed-point sensors,
such as inductive loop detectors or video cameras, for measuring traffic demands and …

Connected vehicles (CVs) can considerably contribute to traffic control in the near future by
providing real-time information. Such information can be exploited to identify the current …

As traffic on urban road network increases, congestion and delays are becoming more
severe. At grade intersections form capacity bottlenecks in urban road networks because at …

Intersections are the bottlenecks of the road network. The capacity of signalized
intersections restricts the operation of the road network. Dynamic estimation of capacity is …

In this work, the connected vehicle's messages are used to create an enhanced adaptive
traffic signal control (ATSC) system for improved traffic flow. Few existing studies use …

This paper presents a case study of an integrated practice-oriented methodology to
continuously monitor intersections' capacity from a data stream of vehicle trajectories after a …

Intersection control plays a vital role in influencing transportation efficiency inside urban
areas. Connected and Automated Vehicle (CAV) technology enables frequent traffic …

Inefficient traffic control is pervasive in modern urban areas, which would exaggerate traffic
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …

Emerging connected vehicle (CV) data sets have recently become commercially available.
This paper presents several tools using CV data to evaluate traffic progression quality along …