A survey of methods and technologies for congestion estimation based on multisource data fusion
Traffic congestion occurs when traffic demand is greater than the available network capacity.
It is characterized by lower vehicle speeds, increased travel times, arrival unreliability, and …
It is characterized by lower vehicle speeds, increased travel times, arrival unreliability, and …
Physics-informed neural networks for integrated traffic state and queue profile estimation: A differentiable programming approach on layered computational graphs
This paper presents an integrated framework for physics-informed joint traffic state and
queue profile estimation (JSQE) on freeway corridors, utilizing heterogeneous data sources …
queue profile estimation (JSQE) on freeway corridors, utilizing heterogeneous data sources …
Traffic light optimization with low penetration rate vehicle trajectory data
Traffic light optimization is known to be a cost-effective method for reducing congestion and
energy consumption in urban areas without changing physical road infrastructure. However …
energy consumption in urban areas without changing physical road infrastructure. However …
Traffic state estimation near signalized intersections
The primary goal with which any transportation system is designed is to make efficient use of
the available infrastructure to achieve better level of service (LoS). However, LoS is …
the available infrastructure to achieve better level of service (LoS). However, LoS is …
Learning the max pressure control for urban traffic networks considering the phase switching loss
Previous studies have shown that the max pressure control is a throughput-optimal policy
that can stabilize the store-and-forward traffic network when the demand is within the …
that can stabilize the store-and-forward traffic network when the demand is within the …
Adaptive and multi-path progression signal control under connected vehicle environment
Through wireless communications, enriched information from connected vehicles (CVs) can
describe traffic information near an intersection and would supplement a data source for an …
describe traffic information near an intersection and would supplement a data source for an …
Uncertainty estimation of connected vehicle penetration rate
Knowledge of the connected vehicle (CV) penetration rate is crucial for realizing numerous
beneficial applications during the prolonged transition period to full CV deployment. A recent …
beneficial applications during the prolonged transition period to full CV deployment. A recent …
Network-wide identification of turn-level intersection congestion using only low-frequency probe vehicle data
Locating the bottlenecks in cities where traffic congestion usually occurs is essential prior to
solving congestion problems. Therefore, this paper proposes a low-frequency probe vehicle …
solving congestion problems. Therefore, this paper proposes a low-frequency probe vehicle …
A general framework for combining traffic flow models and Bayesian network for traffic parameters estimation
S Wang, AUZ Patwary, W Huang - Transportation research part C …, 2022 - Elsevier
This work focuses on traffic parameters estimation based on trajectory data in an arterial
corridor with multiple signalized intersections. We develop a general framework that can …
corridor with multiple signalized intersections. We develop a general framework that can …
Maximum likelihood estimation of probe vehicle penetration rates and queue length distributions from probe vehicle data
Queue length estimation plays an important role in traffic signal control and performance
measures of signalized intersections. Traditionally, queue lengths are estimated by applying …
measures of signalized intersections. Traditionally, queue lengths are estimated by applying …