[HTML][HTML] Impacts of communication delay on vehicle platoon string stability and its compensation strategy: A review
Y Zhang, Z Xu, Z Wang, X Yao, Z Xu - Journal of traffic and transportation …, 2023 - Elsevier
Based on the four-element model, this paper reviewed the important research progress in
vehicle platoon, compared the advantages and disadvantages of different models in each …
vehicle platoon, compared the advantages and disadvantages of different models in each …
A review of intelligent connected vehicle cooperative driving development
B Wang, Y Han, S Wang, D Tian, M Cai, M Liu, L Wang - Mathematics, 2022 - mdpi.com
With the development and progress of information technology, especially V2X technology,
the research focus of intelligent vehicles gradually shifted from single-vehicle control to multi …
the research focus of intelligent vehicles gradually shifted from single-vehicle control to multi …
Cooperative energy management and eco-driving of plug-in hybrid electric vehicle via multi-agent reinforcement learning
The advanced cruise control system has expanded the energy-saving potential of the hybrid
electric vehicle (HEV). Despite this, most energy-saving researches for HEV either only …
electric vehicle (HEV). Despite this, most energy-saving researches for HEV either only …
A nonlinear safety equilibrium spacing-based model predictive control for virtually coupled train set over gradient terrains
S Su, J She, K Li, X Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The increasing demand for capacity in railway transportation has spawned the concept of
virtual coupling (VC), which can further shorten the intertrain distance by applying …
virtual coupling (VC), which can further shorten the intertrain distance by applying …
A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning
This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
methodologies from artificial intelligence (AI) into the field of transportation engineering for …
An analytical optimal control approach for virtually coupled high-speed trains with local and string stability
This paper presents an analytic optimal control method for the virtually coupled train set
(VCTS) in high-speed railway, aiming at maintaining consistent speed and safe spacing …
(VCTS) in high-speed railway, aiming at maintaining consistent speed and safe spacing …
Car-following behavior characteristics of adaptive cruise control vehicles based on empirical experiments
Emerging automated vehicle (AV) technologies are increasingly being deployed around the
world and it is only a matter of time before the transportation landscape changes …
world and it is only a matter of time before the transportation landscape changes …
A physics-informed deep learning paradigm for car-following models
Car-following behavior has been extensively studied using physics-based models, such as
Intelligent Driving Model (IDM). These models successfully interpret traffic phenomena …
Intelligent Driving Model (IDM). These models successfully interpret traffic phenomena …
Distributed model predictive control approach for cooperative car-following with guaranteed local and string stability
In this paper, a serial distributed model predictive control (MPC) approach for connected
automated vehicles (CAVS) is developed with local stability (disturbance dissipation over …
automated vehicles (CAVS) is developed with local stability (disturbance dissipation over …
Stabilizing mixed vehicular platoons with connected automated vehicles: An H-infinity approach
This paper presents a car-following control strategy of connected automated vehicles
(CAVs) to stabilize a mixed vehicular platoon consisting of CAVs and human-driven …
(CAVs) to stabilize a mixed vehicular platoon consisting of CAVs and human-driven …