A deep reinforcement learning based distributed control strategy for connected automated vehicles in mixed traffic platoon
This paper proposes an innovative distributed longitudinal control strategy for connected
automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven …
automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven …
Autonomous vehicle's impact on traffic: Empirical evidence from waymo open dataset and implications from modelling
Previous empirical behavior analysis on Autonomous Vehicles (AV) mainly focused on
vehicles with Adaptive Cruise Control (ACC) system due to the lack of high-level AV dataset …
vehicles with Adaptive Cruise Control (ACC) system due to the lack of high-level AV dataset …
Extending ramp metering control to mixed autonomy traffic flow with varying degrees of automation
The emergence of automated vehicles may have significant impacts on traffic flow. While
many studies suggest that fully automated vehicles can improve traffic flow by changing their …
many studies suggest that fully automated vehicles can improve traffic flow by changing their …
Congestion-mitigating MPC design for adaptive cruise control based on Newell's car following model: History outperforms prediction
Currently, model predictive control (MPC) for adaptive cruise control (ACC) systems relies
on the prediction of the leader's motion to plan the follower's trajectory. However, such …
on the prediction of the leader's motion to plan the follower's trajectory. However, such …
Disturbances and safety analysis of linear adaptive cruise control for cut-in scenarios: A theoretical framework
Although adaptive cruise control (ACC) has been widely analyzed in the car-following
process, the way it reacts to cut-in maneuvers has been largely ignored. The cut-in …
process, the way it reacts to cut-in maneuvers has been largely ignored. The cut-in …
A generic stochastic hybrid car-following model based on approximate Bayesian computation
Car following (CF) models are fundamental to describing traffic dynamics. However, the CF
behavior of human drivers is highly stochastic and nonlinear. As a result, identifying the …
behavior of human drivers is highly stochastic and nonlinear. As a result, identifying the …
Understanding heterogeneity of automated vehicles and its traffic-level impact: A stochastic behavioral perspective
This paper develops a stochastic and unifying framework to examine variability in car-
following (CF) dynamics of commercial automated vehicles (AVs) and its direct relation to …
following (CF) dynamics of commercial automated vehicles (AVs) and its direct relation to …
[HTML][HTML] Overtaking on two-lane two-way rural roads: A personalized and reactive approach for automated vehicle
B Vigne, R Orjuela, JP Lauffenburger… - … Research Part C …, 2024 - Elsevier
Abstract Research on Connected and Automated Vehicles (CAV) has primarily focused on
highway and urban environments, neglecting the significance and dangers of two-lane two …
highway and urban environments, neglecting the significance and dangers of two-lane two …
Unlocking potential capacity benefits of electric vehicles (EVs) with adaptive cruise control (ACC)
Today's mainstream vehicles are partially automated via Adaptive Cruise Control (ACC) that
relies on on-board sensors to automatically adjust speed to maintain a safe following …
relies on on-board sensors to automatically adjust speed to maintain a safe following …
[HTML][HTML] Continuum modeling of freeway traffic flows: State-of-the-art, challenges and future directions in the era of connected and automated vehicles
Connected and automated vehicles (CAVs) are expected to reshape traffic flow dynamics
and present new challenges and opportunities for traffic flow modeling. While numerous …
and present new challenges and opportunities for traffic flow modeling. While numerous …