Traffic signal optimization for partially observable traffic system and low penetration rate of connected vehicles
Observability and controllability are two critical requirements for a partially observable
transportation system. This paper proposes a stepwise signal optimization framework with …
transportation system. This paper proposes a stepwise signal optimization framework with …
Day-to-day dynamic origin–destination flow estimation using connected vehicle trajectories and automatic vehicle identification data
Dynamic vehicular origin–destination (OD) flow is a fundamental component of traffic
network modeling and its estimation has long been studied. Although ideal observing …
network modeling and its estimation has long been studied. Although ideal observing …
Integrated macro-micro modelling for individual vehicle trajectory reconstruction using fixed and mobile sensor data
Vehicle trajectories can provide a clear picture of the traffic flow that plays a pivotal role in
traffic management and control. Two types of traffic sensors, ie, fixed and mobile sensors …
traffic management and control. Two types of traffic sensors, ie, fixed and mobile sensors …
Vehicle trajectory reconstruction at signalized intersections under connected and automated vehicle environment
Vehicle trajectories can provide a clear picture of traffic flow, which facilitates traffic state
estimation and signal control optimization at intersections. Connected and Automated …
estimation and signal control optimization at intersections. Connected and Automated …
A tensor decomposition method for cycle-based traffic volume estimation using sampled vehicle trajectories
Cycle-based traffic volume estimation is important for the dynamic evaluation and
optimization of signal control schemes at intersections. With the development of intelligent …
optimization of signal control schemes at intersections. With the development of intelligent …
Efficient video-based vehicle queue length estimation using computer vision and deep learning for an urban traffic scenario
In the Intelligent Transportation System (ITS) realm, queue length estimation is one of an
essential yet a challenging task. Queue lengths are important for determining traffic density …
essential yet a challenging task. Queue lengths are important for determining traffic density …
Connected Vehicle Data-Driven Fixed-Time Traffic Signal Control Considering Cyclic Time-Dependent Vehicle Arrivals Based on Cumulative Flow Diagram
Fixed-time control is a widely adopted and cost-effective method for signalized intersections.
However, existing studies utilizing connected vehicle (CV) data have not effectively …
However, existing studies utilizing connected vehicle (CV) data have not effectively …
An optimization model for arterial coordination control based on sampled vehicle trajectories: The STREAM model
Traditional arterial coordination control models adopt aggregated demand from fixed
detectors or manual counts as main input, which lack a self-feedback mechanism between …
detectors or manual counts as main input, which lack a self-feedback mechanism between …
Cumulative flow diagram estimation and prediction based on sampled vehicle trajectories at signalized intersections
Although considerable methods have been developed for the performance evaluation of
signalized intersections using sampled vehicle trajectories, most of them aim at estimating a …
signalized intersections using sampled vehicle trajectories, most of them aim at estimating a …
Wide-area vehicle trajectory data based on advanced tracking and trajectory splicing technologies: Potentials in transportation research
Trajectory data of road users play a crucial role in transportation engineering and traffic
safety research. Previous vehicle trajectory data, including naturalistic driving data, trajectory …
safety research. Previous vehicle trajectory data, including naturalistic driving data, trajectory …