Results 31 to 40 of about 2,997,164 (151)

A survey on security and privacy issues in IoV [PDF]

open access: yes, 2020
As an up-and-coming branch of the internet of things, internet of vehicles (IoV) is imagined to fill in as a fundamental information detecting and processing platform for astute transportation frameworks.
Churi, Prathamesh   +4 more
core   +3 more sources

DEMO: Simulation of Realistic Mobility Model and Implementation of 802.11p (DSRC) for Vehicular Networks (VANET) [PDF]

open access: yes, 2013
An ad hoc network of vehicles (VANET) consists of vehicles that exchange information via radio in order to improve road safety, traffic management and do better distribution of traffic load in time and space. Along with this it allows Internet access for
Khairnar, Vaishali D.   +2 more
core   +1 more source

Reducing congestion and emissions via roadside unit deployment under mixed traffic flow

open access: yesInternational Journal of Coal Science & Technology, 2023
It is expected that for a long time the future road traffic will be composed of both regular vehicles (RVs) and connected autonomous vehicles (CAVs). As a vehicle-to-infrastructure technology dedicated to facilitating CAV under the mixed traffic flow ...
Yuhao Liu   +3 more
doaj   +1 more source

Privacy Management in Social Internet of Vehicles: Review, Challenges and Blockchain Based Solutions

open access: yesIEEE Access, 2019
The Internet of Things (IoT) paradigm has integrated the sensor network silos to the Internet and enabled the provision of value-added services across these networks.
Talal Ashraf Butt   +4 more
doaj   +1 more source

Lagrange coded federated learning (L-CoFL) model for Internet of Vehicles [PDF]

open access: yes, 2022
In Internet-of-Vehicles (IoV), smart vehicles can efficiently process various sensing data through federated learning (FL) - a privacy-preserving distributed machine learning (ML) approach that allows collaborative development of the shared ML model ...
Asheralieva, Alia   +6 more
core   +1 more source

Feature extraction and dynamic identification of driving intention adapting to multi-mode emotions

open access: yesAdvances in Mechanical Engineering, 2019
Accurate identification of driving intention and reasonable control of driver’s behavior is seen as an important mean to reduce man-made traffic accidents for the intelligent vehicle.
Xiao-yuan Wang   +6 more
doaj   +1 more source

Tree-based Intelligent Intrusion Detection System in Internet of Vehicles

open access: yes, 2019
The use of autonomous vehicles (AVs) is a promising technology in Intelligent Transportation Systems (ITSs) to improve safety and driving efficiency. Vehicle-to-everything (V2X) technology enables communication among vehicles and other infrastructures ...
Hamieh, Ismail   +3 more
core   +1 more source

Security Methods in Internet of vehicles

open access: yes, 2022
The emerging wireless communication technology known as vehicle ad hoc networks (VANETs) has the potential to both lower the risk of auto accidents caused by drivers and offer a wide range of entertainment amenities.
Al-Shareeda, Mahmood A.   +1 more
core  

Electric Vehicle Charging Station Recommendations Considering User Charging Preferences Based on Comment Data

open access: yesEnergies
User preferences are important for electric vehicle charging station (EVCS) recommendations, but they have not been deeply analyzed. Therefore, in this study, user charging preferences are identified and applied to EVCS recommendations using a hybrid ...
Houzhi Li   +6 more
doaj   +1 more source

Overview of Trusted Authentication and Incentive Mechanisms in Blockchain-Based Internet of Vehicles [PDF]

open access: yesJisuanji kexue yu tansuo
With the increasing demand for data sharing in the Internet of vehicles, reliable identity authentication protocols and scientifically rational incentive mechanisms have become the primary conditions for ensuring the stable operation of the Internet of ...
GAO Chunqi, LI Leixiao, SHI Jianping
doaj   +1 more source

Home - About - Disclaimer - Privacy