Results 61 to 70 of about 13,416 (198)

Self‐Optimized Computational Resource Allocation for Enhanced Perception in Intersection Blind Spots

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
Blind spots represent a critical challenge to maintaining traffic safety. The development and deployment of intelligent and connected vehicle technologies have resulted in significant enhancements to traffic safety. However, blind spots are still a thorny issue, especially on traffic safety at intersections because of the complexity of their reasoning ...
Zechang Ye, Hongbo Li, Siqi Chen, Haiyang Yu, Mohammad Rezwan Habib   +4 more
wiley   +1 more source

QoE-Based Resource Allocation for Heterogeneous Multi-Radio Communication in Software-Defined Vehicle Networks

IEEE Access, 2018
Recently, vehicle to everything (V2X) communications have drawn a significant amount of attention. Emerging V2X applications demand the efficient utilization of heterogeneous access technologies, such as long-term evolution (LTE), Wi-Fi, and dedicated ...
Wei Huang, Lianghui Ding, De Meng, Jenq-Neng Hwang, Yiling Xu, Wenjun Zhang   +5 more
doaj   +1 more source

Vehicular Inter-Networking via Named Data

, 2013
In this paper we apply the Named Data Networking, a newly proposed Internet architecture, to networking vehicles on the run. Our initial design, dubbed V-NDN, illustrates NDN's promising potential in providing a unifying architecture that enables ...
Grassi, Giulio, Pau, Giovanni, Pesavento, Davide, Vuyyuru, Rama, Wakikawa, Ryuji, Wang, Lucas, Zhang, Lixia   +6 more
core   +2 more sources

Macroscopic flow control of connected and automated vehicles at signalized intersections

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 30, Page 6024-6047, 19 December 2025.
Abstract To fully leverage connected automated vehicle (CAV) technology for improving traffic flow at signalized intersections, this paper addresses the scalability limitations of traditional microscopic control methods. We propose a macroscopic connected automated flow control (CAFC) framework based on the cell transmission model (CTM), which ...
Yifan Yao, Xin Wang, Bo Qin, Zhibin Chen, Yuting Chen, Xiaotian Li, Bin Ran   +6 more
wiley   +1 more source

Modular architecture for traffic monitoring systems using 3D LiDAR sensors

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 30, Page 5972-5990, 19 December 2025.
Abstract Urban growth has generated an increasing demand for robust and accurate traffic monitoring systems. Traditional technologies such as inductive loops and computer vision have limitations under adverse environmental conditions and in high‐density traffic scenarios.
A. Cruz, F. Jiménez, G. S. Gutierrez‐Cabello, J. E. Naranjo   +3 more
wiley   +1 more source

VANET Applications: Hot Use Cases [PDF]

, 2014
Current challenges of car manufacturers are to make roads safe, to achieve free flowing traffic with few congestions, and to reduce pollution by an effective fuel use.
Denis, Richard, Dillschneider, Julien, Lèbre, Marie-Ange, Mouël, Frédéric Le, Ménard, Eric   +4 more
core   +3 more sources

V2X Meets NOMA: Non-Orthogonal Multiple Access for 5G Enabled Vehicular Networks

, 2017
Benefited from the widely deployed infrastructure, the LTE network has recently been considered as a promising candidate to support the vehicle-to-everything (V2X) services.
Di, Boya, Han, Zhu, Li, Yonghui, Song, Lingyang   +3 more
core   +1 more source

High‐Performance Quad‐Port MIMO Antenna for Next‐Generation Mm‐Wave IoT Application With Efficiency Prediction Using Supervised Regression Methods

Engineering Reports, Volume 7, Issue 10, October 2025.
A novel MIMO antenna for 5G applications is proposed, achieving a wide bandwidth of 4.12 GHz, high gain of 8.8 dB, and an efficiency of 99.72%. The antenna's performance is validated through CST simulation, measurement, RLC circuit modeling, and machine learning‐based prediction, with Nonparametric Regression showing superior accuracy.
Md. Ashraful Haque, Jamal Hossain Nirob, Geamel Alyami, Kamal Hossain Nahin, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Md Shokor A. Rahaman, Samir Salem Al‐Bawri, Hussein Shaman   +8 more
wiley   +1 more source

Explainable reinforcement learning for improved traffic signal control

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 24, Page 3911-3933, 6 October 2025.
Abstract Reinforcement learning has become a popular approach for traffic signal control, but its complexity often hinders practical application. To improve this, we propose a deep Q‐network framework with an attention mechanism inspired by how traffic police manage intersections.
Yuan Hu, Longfei Du, Said M. Easa
wiley   +1 more source

Deep Reinforcement Learning-Based mmWave Beam Alignment for V2I Communications

IEEE Transactions on Machine Learning in Communications and Networking
Millimeter wave (mmWave) communication can meet the requirements of vehicle-to-infrastructure (V2I) systems, for high throughput and ultra-low latency.
Yuanyuan Qiao, Yong Niu, Lan Su, Shiwen Mao, Ning Wang, Zhangdui Zhong, Bo Ai   +6 more
doaj   +1 more source