Results 21 to 30 of about 17,314 (209)
Energy Efficiency of Connected Autonomous Vehicles: A Review
, 2023 Connected autonomous vehicles (CAVs) have emerged as a promising solution for enhancing transportation efficiency. However, the increased adoption of CAVs is expected to lead to a rise in transportation demand and, subsequently, higher energy consumption.
Hamed Faghihian, Arman Sargolzaei
core +1 more source
Merging control strategies of connected and autonomous vehicles at freeway on-ramps: a comprehensive review [PDF]
, 2022 Purpose – On-ramp merging areas are typical bottlenecks in the freeway network since merging on-ramp vehicles may cause intensive disturbances on the mainline traffic flow and lead to various negative impacts on traffic efficiency and safety.
Kun Gao +8 more
core +1 more source
Design of a prototypical platform for autonomous and connected vehicles [PDF]
2021 AEIT International Conference on Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), 2021 Self-driving technology is expected to revolutionize different sectors and is seen as the natural evolution of road vehicles. In the last years, real-world validation of designed and virtually tested solutions is growing in importance since simulated environments will never fully replicate all the aspects that can affect results in the real world.
Arrigoni S. +4 more
openaire +4 more sources
A Comprehensive Solution for Securing Connected and Autonomous Vehicles
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022 This work was supported by the European Union’s H2020 research and innovation programme under the CARAMEL project (Grant agreement No 833611). The work of M.K., C.K., C.L., T.T., and G.E. has also been supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 739551 (KIOS CoE- TEAMING) and from the ...
Mohsin Kamal +16 more
openaire +2 more sources
, 2022 In the transition era towards connected autonomous vehicles (CAVs), the sharing of the roadway by CAVs and human-driven vehicles (HDVs) in a mixed-traffic stream is expected to pose safety and flow efficiency concerns even though CAVs may tend to adopt ...
Samuel Labi +4 more
core +1 more source
Connected Automated Driving: Civil Liability Regulation in the European Union
Teisė, 2020 The aim of this article is to provide with the option of civil liability regulation of connected autonomous vehicles (CAVs) and autonomous vehicles (AVs) at the European Union level in the light of introduction of Connected Automated Driving (CAD) on the
Olga Shevchenko
doaj +1 more source
Evaluating the impact of connected and autonomous vehicles on traffic safety [PDF]
, 2019 This study aims to analyze the impact of connected and autonomous vehicles (CAVs) on traffic safety under various penetration rates. Based on a recently proposed heterogeneous flow model, the mixed traffic flow with both conventional vehicles and CAVs ...
Yamamoto, Toshiyuki, Ye, Lanhang
core +1 more source
Deep-Learning-Based Network for Lane Following in Autonomous Vehicles
, 2022 The research field of autonomous self-driving vehicles has recently become increasingly popular. In addition, motion-planning technology is essential for autonomous vehicles because it mitigates the prevailing on-road obstacles.
Abida Khanum +2 more
core +1 more source
Aspects of Cyber Security in Autonomous and Connected Vehicles
Applied Sciences, 2023 An automobile is a computer on wheels after the integration of electronics. This handshake of electronics and mechanical systems makes a vehicle smart, and comfortable; driver assistance for achieving this involves data exchange and surroundings sensing.
Bhavesh Raju Mudhivarthi +2 more
doaj +1 more source
Cooperative Roundabout Control Strategy for Connected and Autonomous Vehicles
Applied Sciences, 2022 Intersections in the urban network are potential sources of traffic flow inefficiency. Existing intersection control mostly adopts the “cross” flow pattern model, while the use of the roundabout circular flow pattern is rather sparse.
Chaojie Wang, Yu Wang, Srinivas Peeta
doaj +1 more source