Results 31 to 40 of about 43,237 (162)

Incremental Profitability Evaluation of Vehicle-to-Grid-Enabled Automated Frequency Restoration Reserve Services for Semi-Public Charging Infrastructure: A Case Study in Belgium

open access: yesWorld Electric Vehicle Journal, 2023
The current paper defines a framework for the introduction of automated frequency restoration reserve services, enabled by vehicle-to-grid technology, into the business model of an entity owning and operating a network of semi-public Electric Vehicle ...
Andrei Goncearuc   +5 more
doaj   +1 more source

Securing the Electric Vehicle Charging Infrastructure

open access: yesCoRR, 2021
42 pages, white ...
Roberto Metere   +5 more
openaire   +2 more sources

Technical investigation on V2G, S2V, and V2I for next generation smart city planning

open access: yesJournal of Electronic Science and Technology, 2019
The paper investigates a few of the major areas of the next generation technological advancement, “smart city planning concept”. The areas that the paper focuses are vehicle to grid (V2G), sun to vehicle (S2V), and vehicle to infrastructure (V2I).
MD. Shahrukh Adnan Khan   +5 more
doaj   +1 more source

The Delay-Constrained and Network-Situation-Aware V2V2I VANET Data Offloading Based on the Multi-Access Edge Computing (MEC) Architecture

open access: yesIEEE Open Journal of Vehicular Technology, 2020
This paper proposes a Multi-access Edge Computing (MEC)-based delay-constrained k-hop-limited VANET data offloading method. In the proposed method, a vehicle X can launch the vehicle-to-vehicle-to-infrastructure (V2V2I) VANET data offload from the ...
Chung-Ming Huang, Chi-Feng Lai
doaj   +1 more source

Dependability of Directional Millimeter Wave Vehicle-to-Infrastructure Communications

open access: yesIEEE Access, 2020
Vehicle-to-infrastructure (V2I) communication is an important enabler for intelligent transportation and rail traffic management systems, which are expected to provide significant road traffic safety and efficiency enhancements.
Stefan Schwarz   +3 more
doaj   +1 more source

Integrating Vehicle-to-Infrastructure Communication for Safer Lane Changes in Smart Work Zones

open access: yesWorld Electric Vehicle Journal
As transportation systems evolve, ensuring safe and efficient mobility in Intelligent Transportation Systems remains a priority. Work zones, in particular, pose significant safety challenges due to lane closures, which can lead to abrupt braking and ...
Mariam Nour, Mayar Nour, Mohamed H. Zaki
doaj   +1 more source

Intelligent Intersection Management Systems Considering Autonomous Vehicles: A Systematic Literature Review

open access: yesIEEE Access, 2019
Over the past several decades, the development of technologies and the production of autonomous vehicles have enhanced the need for intelligent intersection management systems.
Elnaz Namazi, Jingyue Li, Chaoru Lu
doaj   +1 more source

An Efficient V2X Based Vehicle Localization Using Single RSU and Single Receiver

open access: yesIEEE Access, 2019
High accuracy vehicle localization information is critical for intelligent transportation systems and future autonomous vehicles. It is challenging to achieve the required centimeter-level localization accuracy, especially in urban or global navigation ...
Sugang Ma   +4 more
doaj   +1 more source

State-of-the-Art and Advancement of Charging Infrastructure in Electric Mobility: An Integrated Review

open access: yesEnergies
Electric mobility is attracting significant attention in the current era due to its environmental benefits, sustainable transportation options, and the absence of carbon emissions.
Mohammad Waseem   +3 more
doaj   +1 more source

Anomaly Detection in Vehicle-to-Infrastructure Communications [PDF]

open access: yes2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 2018
This paper presents a neural network-based anomaly detection system for vehicular communications. The proposed system is able to detect in-vehicle data tampering in order to avoid the transmission of bogus or harmful information. We investigate the use of Long Short-term Memory (LSTM) and Multilayer Perceptron (MLP) neural networks to build two ...
Russo, Michele   +3 more
openaire   +2 more sources

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