Results 51 to 60 of about 86,719,908 (167)

Millimeter-Wave Channel Characterization for Vehicle-to-Infrastructure Communication

, 2020
The vehicle-to-infrastructure (V2I) communication can capture infrastructure data and provide travelers with real-time traffic information, which can significantly improve road safety.
Ke Guan, Chung, Heesang, Kim, Junhyeong, He, Danping, Junhyeong Kim, Wu, Lina, Guan, Ke, Heesang Chung, Bo Ai, Ai, Bo, Lina Wu, Danping He   +11 more
core   +1 more source

Physical layer secure transmission in the coexistence of V2I and V2V with RIS assistance

EURASIP Journal on Wireless Communications and Networking
The security of vehicle communication becomes increasingly important due to the transmission requirement of large-scale security and privacy data in the Internet of Vehicles (IoV).
Zerong Tang, Tiecheng Song, Jing Hu
doaj   +1 more source

Comprehensive Vehicular Networking Platform for V2I and V2V Communications within the Walkie-Talkie Project

International Journal of Distributed Sensor Networks, 2013
Communication architectures integrating vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications will be the key of success for the next generation of cars.
José Santa, Fernando Pereñíguez, Juan C. Cano, Antonio F. Skarmeta, Carlos T. Calafate, Pietro Manzoni   +5 more
doaj   +1 more source

Spatial Characterization of Radio Propagation Channel in Urban Vehicle-to-Infrastructure Environments to Support WSNs Deployment

Sensors, 2017
Vehicular ad hoc Networks (VANETs) enable vehicles to communicate with each other as well as with roadside units (RSUs). Although there is a significant research effort in radio channel modeling focused on vehicle-to-vehicle (V2V), not much work has been
Fausto Granda, Leyre Azpilicueta, Cesar Vargas-Rosales, Peio Lopez-Iturri, Erik Aguirre, Jose Javier Astrain, Jesus Villandangos, Francisco Falcone   +7 more
doaj   +1 more source

Neuro‐Symbolic TabNet for Explainable Congestion Management in Vehicular Ad Hoc Networks (VANETs)

IET Communications, Volume 20, Issue 1, January/December 2026.
Using the VANET Traffic Congestion Dataset, we preprocess heterogeneous traffic, communication and environmental features, train an enhanced TabNet model with contextual embeddings and distil its behaviour into a compact set of human‐readable rules with quantified coverage, confidence and fidelity.
Abuzar Khan, Ahmad Junaid, Abdulmohsen Algarni, Ghassan Husnain, Yazeed Yasin Ghadi, Hend Khalid Alkahtani   +5 more
wiley   +1 more source

An Efficient V2X Based Vehicle Localization Using Single RSU and Single Receiver

IEEE Access, 2019
High accuracy vehicle localization information is critical for intelligent transportation systems and future autonomous vehicles. It is challenging to achieve the required centimeter-level localization accuracy, especially in urban or global navigation ...
Sugang Ma, Fuxi Wen, Xiangmo Zhao, Zhong-min Wang, Diange Yang   +4 more
doaj   +1 more source

Transition‐Aware Q‐Learning for Robust Tracking in Networked Control Systems with Fading Channels: Application to Leader−Follower Vehicle Control

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
Maintaining reliable tracking control in networked control systems over fading wireless channels is difficult due to the stochastic and time‐correlated nature of wireless links. This work proposes a transition‐aware Q‐learning (TA‐QL) method that learns robust control policies directly from networked data without requiring explicit models, while ...
Ehsan Badfar, Babak Tavassoli
wiley   +1 more source

RSU‐Assisted Resource Map Sharing to Enhance Reliability in 5G NR V2X Mode 2

Electronics Letters, Volume 62, Issue 1, January/December 2026.
Wireless blind spots (WBS) cause persistent collisions in 5G new radio vehicle‐to‐everything Mode 2 sensing‐based semi‐persistent scheduling due to hidden terminals and half‐duplex sensing. We propose roadside unit‐assisted resource map sharing service (RMSS) that shares an occupancy bitmap via PC5 or bitmap+RC via Uu for delay‐compensated ...
Seung‐Jae Yu, Cheol Mun
wiley   +1 more source

Safety effect analysis of motorcycle V2I collision warning system

IET Intelligent Transport Systems, 2022
Connected vehicle technology can help the driver make decisions, improve awareness of the road environment, and thereby possibly enhance traffic safety. This study explored the impact of a motorcycle vehicle‐to‐infrastructure (V2I) warning system on road
Tien‐Pen Hsu, Ku‐Lin Wen, Chin‐Hung Liu   +2 more
doaj   +1 more source

Deadline‐Adherent Edge AI for Intelligent Vehicles: Real‐Time Obstacle and Traffic Light Detection Using Quantized YOLOv8n on Jetson Orin Nano

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
A real‐time embedded perception pipeline tailored for ITS and AVs, with a focus on soft deadline adherence and timing‐aware deployment. We deploy a post‐training quantized YOLOv8n model on an NVIDIA Jetson Orin Nano using a ROS 2‐based architecture and stereo input from a ZED 2i camera.
Saranya M, Archana N, Rishi Koushik G
wiley   +1 more source