Results 21 to 30 of about 186,611 (326)
IEEE Access, 2020 Innovative technologies and naturalistic driving data sources provide a great potential to develop reliable autonomous driving systems. Understanding the behaviors of surrounding vehicles is essential for improving safety and mobility of autonomous ...
Abdelmoudjib Benterki +3 more
doaj +1 more source
Cogent Engineering, 2022 Mental, physical, and emotional workload is the main source for the driver’s stress, fatigue, and distraction, which affects the driving tasks performed by the driver in terms of responding to the surroundings and the delay in reacting to events.
Mahmoud Zaki Iskandarani
doaj +1 more source
6G Cellular Networks and Connected Autonomous Vehicles [PDF]
IEEE Network, 2021 With 5G mobile communication systems been commercially rolled out, research discussions on next generation mobile systems, i.e., 6G, have started. On the other hand, vehicular technologies are also evolving rapidly, from connected vehicles as coined by V2X (vehicle to everything) to autonomous vehicles to the combination of the two, i.e., the networks ...
He, Jianhua, Yang, Kun, Chen, Hsiao-Hwa
openaire +3 more sources
State-of-the-Art Review on Recent Advancements on Lateral Control of Autonomous Vehicles
IEEE Access, 2022 The most well-known research on driverless vehicles at the moment is connected autonomous vehicles (CAVs), which reflects the future path for the self driving field. The development of connected autonomous vehicles (CAVs) is not only increasing logistics
Archishman Biswas +13 more
doaj +1 more source
A Systematic Survey of Attack Detection and Prevention in Connected and Autonomous Vehicles [PDF]
Vehicular Communications, 2022 The number of Connected and Autonomous Vehicles (CAVs) is increasing rapidly in various smart transportation services and applications, considering many benefits to society, people, and the environment. Several research surveys for CAVs were conducted by
Trupil Limbasiya +3 more
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2023 The development and applications of mobile communication technologies in intelligent autonomous transportation systems have led to an extraordinary rise in the mount of connected and autonomous vehicles (CAVs).
Xuting Duan +5 more
semanticscholar +1 more source
Examining Parking Choices of Connected and Autonomous Vehicles
Transportation Research Record: Journal of the Transportation Research Board, 2023 Raising parking charges is a measure that restricts the use of private vehicles. With the introduction of connected and autonomous vehicles (CAVs), the demand for parking has the potential to reduce as CAVs may not park at ‘pay to park’ areas as they are able to “cruise” or return home.
Mohit Kumar Singh +7 more
openaire +3 more sources
Implementation of connected and autonomous vehicles in cities could have neutral effects on the total travel time costs: modeling and analysis for a circular city [PDF]
, 2019 Autonomous vehicles promise to revolutionize the automobile market, although their implementation could take several decades in which both types of cars will coexist on the streets.
Medina Tapia, Marcos +1 more
core +2 more sources
An Agent-based Modelling Framework for Driving Policy Learning in Connected and Autonomous Vehicles [PDF]
, 2018 Due to the complexity of the natural world, a programmer cannot foresee all possible situations, a connected and autonomous vehicle (CAV) will face during its operation, and hence, CAVs will need to learn to make decisions autonomously.
Dongyao Jia +5 more
core +2 more sources
An Investigation of Cyber-Attacks and Security Mechanisms for Connected and Autonomous Vehicles
IEEE Access, 2023 Connected and autonomous vehicles (CAVs) can fulfill the emerging demand for smart transportation on a global scale. Such innovations for transportation can bring manyfold benefits, from fully autonomous driving services to proactive vehicle monitoring ...
Sandeep K. S. Gupta +2 more
semanticscholar +1 more source