This paper presents an innovative method to adaptively optimize traffic signal plans based
on the estimation of traffic situation achieved from the information of various penetration …

Through wireless communications, enriched information from connected vehicles (CVs) can
describe traffic information near an intersection and would supplement a data source for an …

This paper presents two algorithms to estimate traffic state in urban street networks with a
mixed traffic stream of connected and unconnected vehicles and incorporates them in a real …

Observability and controllability are two critical requirements for a partially observable
transportation system. This paper proposes a stepwise signal optimization framework with …

For arterial roadways, most Active Traffic and Demand Management (ATDM) strategies
focus on traffic signal timing optimization at signalized intersections. A critical drawback of …

Most of the existing connected vehicle (CV)-based traffic control models require a critical
penetration rate. If the critical penetration rate cannot be reached, then data from traditional …

Traffic signal optimization is a significant means for smoothing urban traffic flow. However,
the operation of traffic signals is currently seriously constrained by the data available from …

In a connected vehicle environment, vehicle location, speed, and other traffic information are
readily available; hence, such environments provide new data sources for traffic signal …

Smart traffic signals bring together transportation infrastructure and advance technologies to
improve the mobility and efficiency of urban transportation network. Adaptive traffic signal …

This paper presents a framework for signalized road network predictive optimization using
real-time routing information from connected vehicles (CVs). An important feature of the real …