Results 71 to 80 of about 3,827 (190)

Theoretical vs. Empirical Classification and Prediction of Congested Traffic States

, 2009
Starting from the instability diagram of a traffic flow model, we derive conditions for the occurrence of congested traffic states, their appearance, their spreading in space and time, and the related increase in travel times.
Helbing, Dirk, Kesting, Arne, Schönhof, Martin, Treiber, Martin   +3 more
core   +2 more sources

Enhanced consensus control architecture for autonomous platoon utilizing multi‐agent reinforcement learning

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 17, Page 2561-2577, 14 July 2025.
Abstract Coordinating a platoon of connected and automated vehicles significantly improves traffic efficiency and safety. Current platoon control methods prioritize consistency and convergence performance but overlook the inherent interdependence between the platoon and the the non‐connected leading vehicle.
Xin Guo, Jiankun Peng, Dawei Pi, Hailong Zhang, Changcheng Wu, Chunye Ma   +5 more
wiley   +1 more source

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

2011 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
Liang, Kuo-Yun, Alam, Assad, Gattami, Ather   +2 more
openaire   +3 more sources

5G Network Slicing as a Service Enabler for the Automotive Sector

Engineering Reports, Volume 7, Issue 1, January 2025.
This paper explores how network slicing can benefit the automotive sector throughout the vehicle lifecycle, from manufacturing to vehicular communications. We analyze the cost equilibrium for network slicing to be effective for car manufacturers, and tests in real 5G networks that demonstrate the performance improvement in OTA updates coexisting with ...
David Candal‐Ventureira, José Manuel Rúa‐Estévez, Pablo Fondo‐Ferreiro, Felipe Gil‐Castiñeira, Antonio Fernández‐Barciela, Francisco Javier González‐Castaño, Emilio Diéguez‐Pazo, Luis Fernández‐Ferreira   +7 more
wiley   +1 more source

Decentralized approaches for autonomous vehicles coordination

Internet Technology Letters, Volume 8, Issue 1, January/February 2025.
The coordination of autonomous vehicles is an open field that is addressed by different researches comprising many different techniques. In this paper we focus on decentralized approaches able to provide adaptability to different infrastructural and traffic conditions.
Luca Gherardini, Giacomo Cabri, Manuela Montangero   +2 more
wiley   +1 more source

Graph Neural Network‐Based Task Offloading and Resource Allocation for Scalable Vehicular Networks

IET Communications, Volume 19, Issue 1, January/December 2025.
This paper proposes a novel graph neural network (GNN)‐based framework to address the task offloading and resource allocation problem in dynamic vehicular networks. Unlike traditional methods with fixed‐size input limitations, the GNN framework leverages neighbour aggregation to adapt to variable‐scale topologies, ensuring robust performance across ...
Menghan Shao, Rongqing Zhang, Liuqing Yang   +2 more
wiley   +1 more source

Graph Neural Network Assisted Spectrum Resource Optimisation for UAV Swarm

IET Communications, Volume 19, Issue 1, January/December 2025.
This paper investigates a graph neural network‐based spectrum resource optimisation algorithm to formulate the channel access and transmit power of unmanned aerial vehicles (UAVs) with the consideration of both spectrum efficiency and energy efficiency.
Xiaomin Liao, Yulai Wang, Xuan Zhu, Chushan Lin, Yang Han, You Li   +5 more
wiley   +1 more source

Complex network control and stability through distributed critic‐based neuro‐fuzzy learning

IET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.
The research introduces a novel distributed consensus protocol and adaptive learning algorithm for synchronization and phase tracking in networks of oscillators, utilizing a critic‐based neuro‐fuzzy learning method. The approach aims to achieve consensus, minimize tracking errors, and demonstrates superiority over conventional proportional integral (PI)
Javad Soleimani, Reza Farhangi, Gunes Karabulut Kurt   +2 more
wiley   +1 more source

Adaptive inverse control for trajectory tracking with dead‐zone nonlinearity under cyberattacks

IET Control Theory &Applications, Volume 19, Issue 1, January/December 2025.
In response to sensor data integrity challenges and security risks in centralized control systems, a distributed framework is proposed for discrete‐time nonlinear systems with unknown dead‐zones at the input. Leveraging decentralized peer‐to‐peer networks, this framework enhances security by securing information exchange without prior knowledge of ...
Farnaz Sabahi
wiley   +1 more source

Numerical Analysis of Aerodynamics and Aeroacoustics in Heterogeneous Vehicle Platoons: Impacts on Fuel Consumption and Environmental Emissions

Energies
The systematic economic development of European Union member states has resulted in a dynamic increase in road transport, accompanied by adverse environmental impacts.
Wojciech Bronisław Ciesielka, Władysław Marek Hamiga   +1 more
doaj   +1 more source