Results 1 to 10 of about 1,320 (173)

Enhanced Perception for Autonomous Vehicles at Obstructed Intersections: An Implementation of Vehicle to Infrastructure (V2I) Collaboration. [PDF]

Sensors (Basel)
In urban intersections, the sensory capabilities of autonomous vehicles (AVs) are often hindered by visual obstructions, posing significant challenges to their robust and safe operation. This paper presents an implementation study focused on enhancing the safety and robustness of Connected Automated Vehicles (CAVs) in scenarios with occluded visibility
Mo Y, Vijay R, Rufus R, Boer N, Kim J, Yu M.   +5 more
europepmc   +4 more sources

Algoritma Epsilon Greedy pada Reinforcement Learning untuk Modulasi Adaptif Komunikasi Vehicle to Infrastructure (V2I)

Jurnal Elkomika, 2021
ABSTRAK Komunikasi Vehicle to Infrastructure (V2I) memungkinkan kendaraan dapat terhubung ke berbagai macam infrastruktur. Dengan kondisi kendaraan yang bergerak, maka kondisi lingkungan yang dilewati mempengaruhi parameter komunikasi.
NAZMIA KURNIAWATI, YULI KURNIA NINGSIH, SOFIA DEBI PUSPA, TRI SWASONO ADI   +3 more
doaj   +3 more sources

Mobility and environment improvement of signalized networks through Vehicle-to-Infrastructure (V2I) communications [PDF]

Transportation Research Part C: Emerging Technologies, 2016
Abstract Traffic signals, even though crucial for safe operations of busy intersections, are one of the leading causes of travel delays in urban settings, as well as the reason why billions of gallons of fuel are burned, and tons of toxic pollutants released to the atmosphere each year by idling engines.
Wen-Long Jin
exaly   +2 more sources

Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication in a heterogeneous wireless network – Performance evaluation [PDF]

Transportation Research Part C: Emerging Technologies, 2016
Connected Vehicle Technology (CVT) requires wireless data transmission between vehicles (V2V), and vehicle-to-infrastructure (V2I). Evaluating the performance of different network options for V2V and V2I communication that ensure optimal utilization of resources is a prerequisite when designing and developing robust wireless networks for CVT ...
Kakan Dey, Anjan Rayamajhi, Mashrur Chowdhury   +2 more
exaly   +2 more sources

Economic comparison between vehicle‐to‐vehicle (V2V) and vehicle‐to‐infrastructure (V2I) at freeway on‐ramps based on microscopic simulations [PDF]

IET Intelligent Transport Systems, 2019
The primary objective of this study is to evaluate how vehicle‐to‐vehicle (V2V) and vehicle‐to‐infrastructure (V2I) affect the traffic system economically, compared with manual vehicles (MVs). The total economic cost involves the value of time, gasoline consumption, road wear, and vehicular equipment.
Changyin Dong, Hao Wang, Ye Li
exaly   +2 more sources

Vehicle-to-Infrastructure Multi-Sensor Fusion (V2I-MSF) With Reinforcement Learning Framework for Enhancing Autonomous Vehicle Perception

IEEE Access
Traditional autonomous driving systems, which rely solely on vehicle onboard unit (OBU) sensors, often face challenges such as limited perception range and sensor occlusion, while systems dependent only on roadside infrastructure sensors may lack the ...
Daud Khan, Sawera Aslam, Kyunghi Chang
doaj   +2 more sources

Physical Layer Security Enhancement in IRS-Assisted Interweave CIoV Networks: A Heterogeneous Multi-Agent Mamba RainbowDQN Method [PDF]

Sensors
The Internet of Vehicles (IoV) relies on Vehicle-to-Everything (V2X) communications to enable cooperative perception among vehicles, infrastructures, and devices, where Vehicle-to-Infrastructure (V2I) links are crucial for reliable transmission. However,
Ruiquan Lin, Shengjie Xie, Wencheng Chen, Tao Xu   +3 more
doaj   +2 more sources

Electric vehicle energy predictive optimal control by V2I communication

Advances in Mechanical Engineering, 2019
To achieve a better energy-efficient and comfortable vehicle driving, electric vehicle energy predictive optimal control was discussed in this article. It used Vehicle to Infrastructure (V2I) communication of traffic light distance and time gap to make ...
Zhu Bo, Wu Di, Zheng MinYi, Zhang Nong, He Lin   +4 more
doaj   +2 more sources

Enhancing smart city mobility through real time explainable AI in autonomous vehicles [PDF]

Scientific Reports
The quick advancement of Autonomous Vehicular Networks (AVNs) shows remarkable potential to transform urban transportation systems in smart cities. This transformational process faces several crucial issues, primarily due to the lack of clear decision ...
Ali Zaman Malik, Naila Samar Naz, Fahad Ahmed, Muhammad Saleem, Muhammad Sajid Farooq, Ateeq Ur Rehman, Waleed M. Ismael, Muhammad Adnan Khan   +7 more
doaj   +2 more sources

Ultra-Reliable Deep-Reinforcement-Learning-Based Intelligent Downlink Scheduling for 5G New Radio-Vehicle to Infrastructure Scenarios

Sensors, 2023
Higher standards for reliability and efficiency apply to the connection between vehicle terminals and infrastructure by the fifth-generation mobile communication technology (5G).
Jizhe Wang, Yuanbing Zheng, Jian Wang, Zhenghua Shen, Lei Tong, Yahao Jing, Yu Luo, Yong Liao   +7 more
doaj   +1 more source