Cooperative driving for speed harmonization in mixed-traffic environments
Autonomous driving systems present promising methods for congestion mitigation in mixed
autonomy traffic control settings. In particular, when coupled with even modest traffic state …
autonomy traffic control settings. In particular, when coupled with even modest traffic state …
Enabling mixed autonomy traffic control
We demonstrate a new capability of automated vehicles: mixed autonomy traffic control. With
this new capability, automated vehicles can shape the traffic flows composed of other non …
this new capability, automated vehicles can shape the traffic flows composed of other non …
Distributed maneuver planning with connected and automated vehicles for boosting traffic efficiency
Connected and automated vehicles (CAVs) have the potential to improve traffic throughput
and achieve a more efficient utilization of the available roadway infrastructure. They also …
and achieve a more efficient utilization of the available roadway infrastructure. They also …
Traffic smoothing controllers for autonomous vehicles using deep reinforcement learning and real-world trajectory data
Designing traffic-smoothing cruise controllers that can be deployed onto autonomous
vehicles is a key step towards improving traffic flow, reducing congestion, and enhancing …
vehicles is a key step towards improving traffic flow, reducing congestion, and enhancing …
Data-driven predictive control for connected and autonomous vehicles in mixed traffic
Cooperative control of Connected and Autonomous Vehicles (CAVs) promises great
benefits for mixed traffic. Most existing research focuses on model-based control strategies …
benefits for mixed traffic. Most existing research focuses on model-based control strategies …
Energy and flow effects of optimal automated driving in mixed traffic: Vehicle-in-the-loop experimental results
This paper experimentally demonstrates the effectiveness of an anticipative car-following
algorithm in reducing energy use of gasoline engine and electric Connected and Automated …
algorithm in reducing energy use of gasoline engine and electric Connected and Automated …
Predictive speed harmonization using machine learning in traffic flow with connected and automated vehicles
A Elfar, A Talebpour… - Transportation research …, 2024 - journals.sagepub.com
Speed harmonization is an active traffic management strategy used to delay traffic flow
breakdown and mitigate congestion by changing speed limits throughout a road segment …
breakdown and mitigate congestion by changing speed limits throughout a road segment …
Leveraging the capabilities of connected and autonomous vehicles and multi-agent reinforcement learning to mitigate highway bottleneck congestion
Active Traffic Management strategies are often adopted in real-time to address such sudden
flow breakdowns. When queuing is imminent, Speed Harmonization (SH), which adjusts …
flow breakdowns. When queuing is imminent, Speed Harmonization (SH), which adjusts …
Cooperative lane changing in mixed traffic can be robust to human driver behavior
A Li, ASC Armijos… - 2023 62nd IEEE …, 2023 - ieeexplore.ieee.org
We derive time and energy-optimal control policies for a Connected Autonomous Vehicle
(CAV) to complete lane change maneuvers in mixed traffic. The interaction between CAVs …
(CAV) to complete lane change maneuvers in mixed traffic. The interaction between CAVs …
Cooperative Bidirectional Mixed-Traffic Overtaking
Safe overtaking, especially in a bidirectional mixed-traffic setting, remains a key challenge
for Connected Autonomous Vehicles (CAVs). The presence of human-driven vehicles …
for Connected Autonomous Vehicles (CAVs). The presence of human-driven vehicles …