Results 11 to 20 of about 17,314 (209)

Cooperative Merging Strategy Between Connected Autonomous Vehicles in Mixed Traffic [PDF]

IEEE Open Journal of Intelligent Transportation Systems, 2022
In this work we propose a new cooperation strategy between connected autonomous vehicles in on-ramps merging scenarios and we implement the cut-in risk indicator (CRI) to investigate the safety effect of the proposed strategy.
Eleonora Andreotti, Selpi, Maytheewat Aramrattana   +2 more
doaj   +3 more sources

Connected and Autonomous Vehicles [PDF]

IEEE Internet Computing, 2018
This special issue contains a selection of papers in the research area of connected and autonomous vehicles. The lineup includes discussions of vehicular named data networks and autonomous unmanned aerial vehicles (UAVs).
Bo Yu 0007, Fan Bai 0002, Falko Dressler
openaire   +2 more sources

Experimentation and Assessment of Pseudonym Certificate Management and Misbehavior Detection in C-ITS

IEEE Open Journal of Intelligent Transportation Systems, 2021
In Cooperative Intelligent Transportation Systems (C-ITS), vehicles can communicate with one another and with the infrastructure. The openness of the transportation system to new functionalities and use cases may create new vulnerabilities that must be ...
Farah Haidar, Marios Makassikis, Michel Sall, Hafeda Bakhti, Arnaud Kaiser, Brigitte Lonc   +5 more
doaj   +1 more source

Artificial Intelligence for Vehicle Behavior Anticipation: Hybrid Approach Based on Maneuver Classification and Trajectory Prediction

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, Moussa Boukhnifer, Vincent Judalet, Choubeila Maaoui   +3 more
doaj   +1 more source

Connected autonomous vehicles: State of practice

Applied Stochastic Models in Business and Industry, 2023
AbstractConnected autonomous vehicles (CAVs) have the potential to deal with the steady increase in road traffic while solving transportation related issues such as traffic congestion, pollution, and road safety. Therefore, CAVs are becoming increasingly popular and viewed as the next generation transportation solution.
Muhammad Mobaidul Islam, Abdullah Al Redwan Newaz, Li Song, Benjamin Lartey, Shih‐Chun Lin, Wei Fan, Ali Hajbabaie, Mubbashar Altaf Khan, Alireza Partovi, Tienake Phuapaiboon, Abdollah Homaifar, Ali Karimoddini   +11 more
openaire   +1 more source

Relating Driver Behaviour and Response to Messages through HMI in Autonomous and Connected Vehicular Environment

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

Trajectory Prediction with Correction Mechanism for Connected and Autonomous Vehicles

, 2022
Trajectory prediction of surrounding vehicles is a critical task for connected and autonomous vehicles (CAVs), helping them to realize potential dangers in the traffic environment and make the most appropriate decisions.
Jia Xu, Hongbiao Liu, Pin Lv, Taoshen Li
core   +1 more source

A Rural Transport Implementation Index for Connected, Autonomous and Electric Vehicles [PDF]

, 2022
With connected, autonomous and electric vehicles (CAEV) developing rapidly, there is a need to better support their implementation into rural scenarios, where there are numerous transport challenges.
Stuart Marsh, Marsh, Stuart, Joseph Walters, Joseph George Walters, Lucelia Rodrigues, Walters, Joseph George, Rodrigues, Lucelia   +6 more
core   +1 more source

Cooperative Environmental Perception Task Offloading for Connected and Autonomous Vehicles

, 2023
Cooperative environmental perception is an effective way to provide connected and autonomous vehicles (CAVs) with the necessary environmental information.
Jie Huang, Heng Liu, Pin Lv
core   +1 more source

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, M. A. Obayed Reon, Prangon Das, Zinat Tasneem, S. M. Muyeen, Sajal K. Das, Faisal R. Badal, Subrata Kumar Sarker, Md. Mehedi Hassan, Sarafat Hussain Abhi, Md. Robiul Islam, Md. Firoj Ali, Md. Hafiz Ahamed, Md. Manirul Islam   +13 more
doaj   +1 more source