Results 61 to 70 of about 2,157 (180)

Stochastic String Stability of Vehicle Platoons via Cooperative Adaptive Cruise Control with Lossy Communication [PDF]

, 2019
This paper is about obtaining stable vehicle platooning by using Cooperative Adaptive Cruise Control when the communication is unreliable and suffers from message losses.
Acciani, Francesco, Frasca, Paolo, Heijenk, Geert, Stoorvogel, Anton   +3 more
core   +1 more source

Comparison of Different Controller Architectures for Autonomous Driving and Recommendations for Robust and Safe Implementations

Journal of Advanced Transportation, Volume 2025, Issue 1, 2025.
This comprehensive review examines various controller architectures for autonomous driving systems, from rule‐based approaches to advanced deep learning methods. Research trends reveal a significant shift toward deep learning approaches (65.6%) compared to rule‐based methods (34.4%), reflecting the growing dominance of data‐driven techniques in ...
M. A. Shadab Siddiqui, M. S. Rabbi, Md Jobayer Islam, Radif Uddin Ahmed, Jinhao Liang   +4 more
wiley   +1 more source

A Secure Cooperative Adaptive Cruise Control Design with Unknown Leader Dynamics Under False Data Injection Attacks

Computers
The combination of connectivity and automation allows connected and autonomous vehicles (CAVs) to operate autonomously using advanced on-board sensors while communicating with each other via vehicle-to-vehicle (V2V) technology to enhance safety ...
Parisa Ansari Bonab, Arman Sargolzaei
doaj   +1 more source

Data‐driven dual‐loop control for platooning mixed human‐driven and automated vehicles

IET Intelligent Transport Systems, Volume 18, Issue 12, Page 2576-2585, December 2024.
This paper considers controlling automated vehicles to form a platoon with human‐driven vehicles under consideration of unknown HV model parameters and propulsion time constants. The proposed design is a data‐driven dual‐loop control strategy for the ego automated vehicles, where the inner loop controller ensures platoon stability and the outer loop ...
Jianglin Lan
wiley   +1 more source

Review of driver behaviour modelling for highway on‐ramp merging

IET Intelligent Transport Systems, Volume 18, Issue S1, Page 2793-2813, December 2024.
A review of drivers behaviours modelling in highway on‐ramps with a focus on current research trend, “data‐driven approaches”, and its associated challenges. Abstract Autonomous driving is an exciting research field that has received growing attention in recent years. One of the most challenging and safety‐critical driving situations is highway on‐ramp
Zine el abidine Kherroubi, Samir Aknine
wiley   +1 more source

Design and Experimental Validation of a Cooperative Adaptive Cruise Control System Based on Supervised Reinforcement Learning

Applied Sciences, 2018
This paper presents a supervised reinforcement learning (SRL)-based framework for longitudinal vehicle dynamics control of cooperative adaptive cruise control (CACC) system. A supervisor network trained by real driving data is incorporated into the actor-
Shouyang Wei, Yuan Zou, Tao Zhang, Xudong Zhang, Wenwei Wang   +4 more
doaj   +1 more source

Constraining Attacker Capabilities Through Actuator Saturation

, 2017
For LTI control systems, we provide mathematical tools - in terms of Linear Matrix Inequalities - for computing outer ellipsoidal bounds on the reachable sets that attacks can induce in the system when they are subject to the physical limits of the ...
cardenas, checkoway, cárdenas, dadras, kurzhanskii, murguia, zetter   +6 more
core   +1 more source

Cooperative Adaptive Cruise Control (CACC) for Truck Platooning: Operational Concept Alternatives [PDF]

, 2015
Cooperative Adaptive Cruise Control (CACC) provides an intermediate step toward a longer-term vision of trucks operating in closely-coupled automated platoons. There are important distinctions between CACC and automated truck platooning. First, with CACC, only truck speed control will be automated, using vehicle to vehicle (V2V) communication to ...
Nowakowski, Christopher, Shladover, Steven E, Lu, Xiao-Yun, Thompson, Deborah, Kailas, Aravind   +4 more
openaire   +1 more source

Cloud‐based DMPC structure for velocity consensus and lane following of heterogeneous automated vehicles

IET Control Theory &Applications, Volume 18, Issue 17, Page 2379-2389, November 2024.
This paper investigates the challenges associated with the velocity consensus and the lane following in heterogeneous automated vehicles considered as agents of a multi agent system. A cloud‐based distributed model predictive control structure is proposed to address the distributed intrinsic of such systems.
Ali Karami Ghanavati, Ali Akbar Safavi, Mohammad Shakerpour   +2 more
wiley   +1 more source

Deep Q‐network learning‐based active speed management under autonomous driving environments

Computer-Aided Civil and Infrastructure Engineering, Volume 39, Issue 21, Page 3225-3242, 1 November 2024.
Abstract Efficient traffic safety management necessitates real‐time crash risk prediction using expressway characteristics. With the emergence of autonomous vehicles (AVs), the development and evaluation of variable speed limit (VSL) strategies, a key active traffic management technique, become crucial for enhancing safety and mobility in mixed traffic
Kawon Kang, Nuri Park, Juneyoung Park, Mohamed Abdel‐Aty   +3 more
wiley   +1 more source