Autonomous vehicles and intelligent automation: Applications, challenges, and opportunities
Intelligent Automation (IA) in automobiles combines robotic process automation and artificial
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …
intelligence, allowing digital transformation in autonomous vehicles. IA can completely …
Cloud control system architectures, technologies and applications on intelligent and connected vehicles: a review
W Chu, Q Wuniri, X Du, Q Xiong, T Huang… - Chinese Journal of …, 2021 - Springer
The electrification of vehicle helps to improve its operation efficiency and safety. Due to fast
development of network, sensors, as well as computing technology, it becomes realizable to …
development of network, sensors, as well as computing technology, it becomes realizable to …
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 …
A cellular automata model for mixed traffic flow considering the driving behavior of connected automated vehicle platoons
With the development of automated driving technology and communication technology, the
emergence of connected automated vehicles (CAVs) will significantly improve traffic …
emergence of connected automated vehicles (CAVs) will significantly improve traffic …
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 …
Fuzzy Power Heronian function based CoCoSo method for the advantage prioritization of autonomous vehicles in real-time traffic management
One of the key solutions to resolving the traffic congestion problem is the traffic management
systems, aiming to increase the efficiency of the road networks so that the traffic flow …
systems, aiming to increase the efficiency of the road networks so that the traffic flow …
Mitigating traffic oscillation through control of connected automated vehicles: A cellular automata simulation
With the advent and advancement of connected and automated vehicle technologies, it is
now possible to control connected and automated vehicles (CAVs) in mixed traffic flows to …
now possible to control connected and automated vehicles (CAVs) in mixed traffic flows to …
Robust platoon control in mixed traffic flow based on tube model predictive control
The design of cooperative adaptive cruise control is critical in mixed traffic flow, where
connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) coexist …
connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) coexist …
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 …
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 …