Freeway speed harmonization
In this paper, we present an overview and background on speed harmonization (SH). This
paper reviews a number of representative studies that designed traffic control algorithms …
paper reviews a number of representative studies that designed traffic control algorithms …
Variable speed limit: an overview
B Khondaker, L Kattan - Transportation Letters, 2015 - Taylor & Francis
This paper provides an overview of various variable speed limit (VSL) strategies developed
over the last two decades. It first explains the theoretical background of VSL systems and …
over the last two decades. It first explains the theoretical background of VSL systems and …
[HTML][HTML] Variable speed limit: A microscopic analysis in a connected vehicle environment
B Khondaker, L Kattan - Transportation Research Part C: Emerging …, 2015 - Elsevier
This paper presents a Variable Speed Limit (VSL) control algorithm for simultaneously
maximizing the mobility, safety and environmental benefit in a Connected Vehicle …
maximizing the mobility, safety and environmental benefit in a Connected Vehicle …
A new reinforcement learning-based variable speed limit control approach to improve traffic efficiency against freeway jam waves
Conventional reinforcement learning (RL) models of variable speed limit (VSL) control
systems (and traffic control systems in general) cannot be trained in real traffic process …
systems (and traffic control systems in general) cannot be trained in real traffic process …
Reinforcement learning-based variable speed limit control strategy to reduce traffic congestion at freeway recurrent bottlenecks
The primary objective of this paper was to incorporate the reinforcement learning technique
in variable speed limit (VSL) control strategies to reduce system travel time at freeway …
in variable speed limit (VSL) control strategies to reduce system travel time at freeway …
Differential variable speed limits control for freeway recurrent bottlenecks via deep actor-critic algorithm
Variable speed limit (VSL) control is a flexible way to improve traffic conditions, increase
safety, and reduce emissions. There is an emerging trend of using reinforcement learning …
safety, and reduce emissions. There is an emerging trend of using reinforcement learning …
[HTML][HTML] Impact of deep reinforcement learning on variable speed limit strategies in connected vehicles environments
Abstract The Variable Speed Limit (VSL) control is considered in the context of connected
vehicles acting as moving sensors, while their obedience to speed limit is enforced by a …
vehicles acting as moving sensors, while their obedience to speed limit is enforced by a …
Resolving freeway jam waves by discrete first-order model-based predictive control of variable speed limits
In this paper we develop a fast model predictive control (MPC) approach for variable speed
limit coordination to resolve freeway jam waves. Existing MPC approaches that are based …
limit coordination to resolve freeway jam waves. Existing MPC approaches that are based …
[HTML][HTML] Effect of steel fiber distribution on the mechanical properties of UHPC caused by vehicle-bridge coupling vibration
S Wang, L Yu, F Yang, L Xu, K Wu… - Composites Part B …, 2022 - Elsevier
With the acceleration of infrastructure construction, the risk of being exposed to vehicle-
bridge coupling vibration is getting more common for the unhardened cementitious …
bridge coupling vibration is getting more common for the unhardened cementitious …
Development of a variable speed limit strategy to reduce secondary collision risks during inclement weathers
Inclement weather reduces traveler's sight distance and increases vehicle's stop**
distance. Once a collision occurred during inclement weather and resulted in a slow traffic …
distance. Once a collision occurred during inclement weather and resulted in a slow traffic …