[HTML][HTML] Chordal and factor-width decompositions for scalable semidefinite and polynomial optimization
Chordal and factor-width decomposition methods for semidefinite programming and
polynomial optimization have recently enabled the analysis and control of large-scale linear …
polynomial optimization have recently enabled the analysis and control of large-scale linear …
Mixed platoon control of automated and human-driven vehicles at a signalized intersection: dynamical analysis and optimal control
The emergence of Connected and Automated Vehicles (CAVs) promises better traffic
mobility for future transportation systems. Existing research mostly focused on fully …
mobility for future transportation systems. Existing research mostly focused on fully …
Mixed cloud control testbed: Validating vehicle-road-cloud integration via mixed digital twin
Reliable and efficient validation technologies are critical for the recent development of multi-
vehicle cooperation and vehicle-road-cloud integration. In this paper, we introduce our …
vehicle cooperation and vehicle-road-cloud integration. In this paper, we introduce our …
DeeP-LCC: Data-enabled predictive leading cruise control in mixed traffic flow
For the control of connected and autonomous vehicles (CAVs), most existing methods focus
on model-based strategies. They require explicit knowledge of car-following dynamics of …
on model-based strategies. They require explicit knowledge of car-following dynamics of …
Safety-critical traffic control by connected automated vehicles
Connected automated vehicles (CAVs) have shown great potential in improving traffic
throughput and stability. Although various longitudinal control strategies have been …
throughput and stability. Although various longitudinal control strategies have been …
Distributed data-driven predictive control for cooperatively smoothing mixed traffic flow
Cooperative control of connected and automated vehicles (CAVs) promises smoother traffic
flow. In mixed traffic, where human-driven vehicles with unknown dynamics coexist, data …
flow. In mixed traffic, where human-driven vehicles with unknown dynamics coexist, data …
Cooperative merging strategy in mixed traffic based on optimal final-state phase diagram with flexible highway merging points
The cooperation between connected and automated vehicles (CAVs) has emerged as a
promising way to improve traffic efficiency and safety for ramp merging on highways …
promising way to improve traffic efficiency and safety for ramp merging on highways …
Distributed model predictive control for heterogeneous vehicle platoon with inter-vehicular spacing constraints
This paper proposes a distributed control scheme for a platoon of heterogeneous vehicles
based on the mechanism of model predictive control (MPC). The platoon composes of a …
based on the mechanism of model predictive control (MPC). The platoon composes of a …
Adaptive leading cruise control in mixed traffic considering human behavioral diversity
This paper presents an adaptive leading cruise control strategy for the automated vehicle
(AV) and first considers its impact on the following human-driven vehicle (HDV) with diverse …
(AV) and first considers its impact on the following human-driven vehicle (HDV) with diverse …
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 …