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D2.1 - PLATOON Reference Architecture

open access: yes, 2023
Deliverable 2.1 describes the PLATOON reference architecture including the logical components in terms of functionalities and interfaces, their relationships and the description of the key processes related to data exchange and security. This document is
Martino Maggio, Francesco Arigliano
core   +1 more source

Gap Setting Control of ACC‐Equipped Vehicles for Enhancing Traffic Flow: Deep Reinforcement Learning Approach

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
In this paper, we propose a double deep Q network–based strategy that controls the gap settings of connected and automated vehicles (CAVs) to simultaneously improve traffic flow efficiency and stability. Our approach utilises the existing manufacturer‐developed short and long gap settings of adaptive cruise control systems, which have undergone ...
Sungyong Chung   +3 more
wiley   +1 more source

The impact of heterogeneity and order in heavy duty vehicle platooning networks (poster)

open access: yes2011 IEEE Vehicular Networking Conference (VNC), 2011
It is formally known that by establishing a heavy duty vehicle platoon, the fuel consumption is reduced for the follower vehicle due to the lower air drag. However, it is not clear how the platoon should be formed with respect to the heavy duty vehicle properties. String stability is a well discussed issue in vehicle platooning. However, each vehicle's
Kuo-Yun Liang   +2 more
openaire   +3 more sources

Hierarchical Event-Triggered Platoon Control for Heterogeneous Connected Vehicles Subject to Actuator Uncertainties and Non-Zero Inputs

open access: yes
Hierarchical Event-Triggered Platoon Control for Heterogeneous Connected Vehicles Subject to Actuator Uncertainties and Non-Zero ...
Samson Yu (13093116)   +5 more
core   +2 more sources

Platoon Dispersion Analysis Based on Diffusion Theory

open access: yesMATEC Web of Conferences, 2017
Urbanization and gro wing demand for travel, causes the traffic system to work ineffectively in most urban areas leadin g to traffic congestion. Many approaches have been adopted to address this problem, one among them being the signal co-ordination ...
Badhrudeen Mohamed   +3 more
doaj   +1 more source

Analysis of the Impact of Heterogeneous Platoon for Mixed Traffic Flow: Stability and Safety

open access: yesSystems
To investigate the impact mechanism of different platoon control strategies on mixed traffic flow, this paper evaluates the overall performance of different heterogeneous platoon control strategies in smoothing small traffic disturbances and improving ...
Dan Tu   +5 more
doaj   +1 more source

Fault‐Tolerant Robust Output‐Feedback Control of a Vehicle Platoon Considering Measurement Noise and Road Disturbances

open access: yesIET Intelligent Transport Systems
As electric vehicle (EV) technology advances, platooning has emerged as a promising strategy to enhance energy efficiency and traffic flow. However, the effective deployment of EV platoons is challenged by the heterogeneous nature of vehicles ...
Fernando Viadero‐Monasterio   +3 more
doaj   +1 more source

Impact of cooperative autonomous vehicle platooning on highway traffic efficiency and carbon emissions

open access: yesTransportation Engineering
Connected and automated vehicle (CAV) platooning is widely regarded as a key enabler of improved motorway efficiency, safety, and environmental performance.
Jize Jiang   +7 more
doaj   +1 more source

Towards Safer and More Efficient Cooperative Vehicle Platooning: Map-Based Calibration of Centralised LQR Control

open access: yesMachines
This paper proposes a calibration-oriented framework for cooperative adaptive cruise control based on a linear quadratic regulator formulation. A simulation-based architecture is developed by integrating the controller with a nonlinear longitudinal ...
Luca Zerbato   +3 more
doaj   +1 more source

ROBUST OUTPUT FEEDBACK CONTROL FOR HETEROGENEOUS AUTONOMOUS VEHICLE PLATOONS

open access: yesDYNA
An heterogeneous vehicle platoon controller for autonomous vehicles is proposed in this paper. The traction force of each vehicle is controlled according to the state of the predecessor vehicle, which can be known by LiDAR/RADAR, and the state of the leader vehicle, which is received by vehicle-to-vehicle (V2V) communication.
Fernando Viadero Monasterio   +3 more
openaire   +2 more sources

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