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 …

The state of the practice traffic signal control strategies mainly rely on infrastructure based
vehicle detector data as the input for the control logic. The infrastructure based detectors are …

In the last few years, traffic congestion has become a growing concern due to increasing
vehicle ownerships in urban areas. Intersections are one of the major bottlenecks that …

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

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

Real-time estimation of the traffic state in urban signalized links is valuable information for
modern traffic control and management. In recent years, with the development of in-vehicle …

The operation of traffic signals is currently limited by the data available from traditional point
sensors. Point detectors can provide only limited vehicle information at a fixed location. The …

The increase in traffic volumes in urban areas makes network delay and capacity
optimisation challenging. However, the introduction of connected vehicles in intelligent …

This study develops a methodology for coordinated speed optimization and traffic light
control in urban street networks. We assume that all vehicles are connected and automated …

Modern traffic control and management systems in urban networks require real-time
estimation of the traffic states. In this paper, a novel approach for modeling traffic flow in …