Results 31 to 40 of about 3,827 (190)

Transients of platoons with asymmetric and different Laplacians [PDF]

open access: yes, 2015
We consider an asymmetric control of platoons of identical vehicles with nearest-neighbor interaction. Recent results show that if the vehicle uses different asymmetries for position and velocity errors, the platoon has a short transient and low ...
Herman, Ivo   +2 more
core   +3 more sources

Emerging privacy challenges and approaches in CAV systems [PDF]

open access: yes, 2019
The growth of Internet-connected devices, Internet-enabled services and Internet of Things systems continues at a rapid pace, and their application to transport systems is heralded as game-changing.
Atmaca, U. I.   +2 more
core   +1 more source

Fuel-Efficient Driving Strategies for Heavy-Duty Vehicles: A Platooning Approach Based on Speed Profile Optimization

open access: yesJournal of Advanced Transportation, 2018
A method for reducing the fuel consumption of a platoon of heavy-duty vehicles (HDVs) is described and evaluated in simulations for homogeneous and heterogeneous platoons.
Sina Torabi, Mattias Wahde
doaj   +1 more source

Distributed Nonlinear Model Predictive Control for Connected Autonomous Electric Vehicles Platoon with Distance-Dependent Air Drag Formulation

open access: yesEnergies, 2021
This paper addresses the leader tracking problem for a platoon of heterogeneous autonomous connected fully electric vehicles where the selection of the inter-vehicle distance between adjacent vehicles plays a crucial role in energy consumption reduction.
Bianca Caiazzo   +3 more
doaj   +1 more source

Stability Margin Scaling Laws for Distributed Formation Control as a Function of Network Structure [PDF]

open access: yes, 2010
We consider the problem of distributed formation control of a large number of vehicles. An individual vehicle in the formation is assumed to be a fully actuated point mass.
Barooah, Prabir   +2 more
core   +3 more sources

Learning Car-Following Behaviors for a Connected Automated Vehicle System: An Improved Sequence-to-Sequence Deep Learning Model

open access: yesIEEE Access, 2023
Data-driven car-following modeling is of great significance to traffic behavior analysis and the development of connected automated vehicle (CAV) technology. The existing researches focus on reproducing the car-following process by capturing the behavior
Wenqi Lu   +4 more
doaj   +1 more source

Distributed Cooperative Synchronization and Tracking for Heterogeneous Platoons With Mixed-Order Nonlinear Vehicle Dynamics

open access: yesIEEE Access
This paper studies the synchronization and tracking issue for the connected and automated vehicle (CAV) platoon with mixed-order nonlinear vehicle dynamics.
Hui Dong, Yiguang Wang, Xiaojie Li
doaj   +1 more source

Analyzing Attacks on Cooperative Adaptive Cruise Control (CACC)

open access: yes, 2017
Cooperative Adaptive Cruise Control (CACC) is one of the driving applications of vehicular ad-hoc networks (VANETs) and promises to bring more efficient and faster transportation through cooperative behavior between vehicles.
Kargl, Frank   +2 more
core   +1 more source

Robust Adaptive Heterogeneous Vehicle Platoon Control Based on Disturbances Estimation and Compensation

open access: yesIEEE Access
This paper presents an investigation into the problem of controlling a heterogeneous vehicle platoon, focusing on two aspects: the impact of noise in sensor measurements and the effect of road slope, wind, and rolling resistance on the longitudinal ...
Fernando Viadero-Monasterio   +3 more
doaj   +1 more source

Traffic Oscillations Mitigation in Vehicle Platoon Using a Car-Following Control Model for Connected and Autonomous Vehicle

open access: yesJournal of Advanced Transportation, 2019
Traffic oscillations often occur in road traffic, they make traffic flow unstable, unsafe and inefficient. Emerging connected and autonomous vehicle (CAV) technologies are potential solutions to mitigating the traffic oscillations for the advantages that
Zhijun Gao   +6 more
doaj   +1 more source

Home - About - Disclaimer - Privacy