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 …
Position weighted backpressure intersection control for urban networks
Decentralized intersection control techniques have received recent attention in the literature
as means to overcome scalability issues associated with network-wide intersection control …
as means to overcome scalability issues associated with network-wide intersection control …
[HTML][HTML] Ramp metering control under stochastic capacity in a connected environment: A dynamic bargaining game theory approach
This paper presents a dynamic predictive and cooperative ramp metering approach that
considers stochastic breakdowns at merging bottlenecks. A stochastic microscopic model is …
considers stochastic breakdowns at merging bottlenecks. A stochastic microscopic model is …
High-resolution traffic sensing with probe autonomous vehicles: A data-driven approach
Recent decades have witnessed the breakthrough of autonomous vehicles (AVs), and the
sensing capabilities of AVs have been dramatically improved. Various sensors installed on …
sensing capabilities of AVs have been dramatically improved. Various sensors installed on …
MPC-based emergency vehicle-centered multi-intersection traffic control
M Hosseinzadeh, B Sinopoli… - … on Control Systems …, 2022 - ieeexplore.ieee.org
This article proposes a traffic control scheme to alleviate traffic congestion in a network of
interconnected signaled lanes/roads. The proposed scheme is emergency vehicle-centered …
interconnected signaled lanes/roads. The proposed scheme is emergency vehicle-centered …
A stochastic microscopic based freeway traffic state and spatial-temporal pattern prediction in a connected vehicle environment
Traffic state prediction forms the basis for effective and efficient traffic control and
management strategies. A model-based traffic state prediction approach based on a …
management strategies. A model-based traffic state prediction approach based on a …
Real-time traffic density estimation: Putting on-coming traffic to work
Estimating highway traffic density in real-time is an important goal of Intelligent
Transportation Systems. The main contribution of this work is to propose a simple and …
Transportation Systems. The main contribution of this work is to propose a simple and …
Development of a binary logistic lane change model and its validation using empirical freeway data
An effective macroscopic lane change (LC) model is required to facilitate active and dynamic
lane management to develop cell-based multilane macroscopic traffic models. Existing …
lane management to develop cell-based multilane macroscopic traffic models. Existing …
Towards real-time density estimation using vehicle-to-vehicle communications
Traffic state estimation is a fundamental task of Intelligent Transportation Systems (ITS).
Recent advances in sensor technology and emerging computer and vehicular …
Recent advances in sensor technology and emerging computer and vehicular …
Traffic state estimation by backward moving observers: An application and validation under an incident
M Kuwahara, A Takenouchi, K Kawai - Transportation research part C …, 2021 - Elsevier
This study analyzes measurements by backward moving observers that could be probe
vehicles running backward on the opposite lane observing forward moving traffic to be …
vehicles running backward on the opposite lane observing forward moving traffic to be …