Journal of Advanced Transportation

Computational Intelligence Systems for Vehicular Ad Hoc Networks


Publishing date
01 Jul 2022
Status
Published
Submission deadline
04 Mar 2022

Lead Editor

1Guangzhou University, Guangzhou, China

2University of Naples Parthenope, Naples, Italy


Computational Intelligence Systems for Vehicular Ad Hoc Networks

Description

Vehicular AD Hoc Networks (VANETs) have received increasing attention from both academia and industry due to their ability to integrate technology and expertise to create and provide innovative services, improve safety and mobility, and thus increase the efficiency of existing infrastructure. The appearance of new technologies - such as the Internet of Vehicles (IoV) and cloud computing - has provided opportunities for the development of VANETs by revolutionizing the modern world of travel via the use of sensors, applications for mobile devices, and other technological advancements. These sensors and mobile devices can gather local information after deployment, and the collected data is very important in making correct decisions with relation to motor drivers. Computational Intelligence is an extensive way to allow for knowledge discovery, information sharing, and supported decision making when establishing a large, fully functioning, real-time, accurate, and efficient VANETs. This new notion involves some key networking issues.

Those networking problems have changed substantially over the recent years as a result of the changes in users’ requirements for the communications convergent multi-service wired and wireless networks. Recent advances in information and communication technologies are facilitating substantial improvements in transportation, providing technologies and development that ensures safer and more efficient mobility. Novel technologies, such as the Internet of Things, artificial intelligence, advanced automation, etc., are providing solutions that are creating ground-breaking applications that are challenging the way transport is perceived in the society of 21st century.

The objective of this Special Issue is to bring together the state-of-the-art research contributions that address challenges in contemporary network design, dimensioning, and optimization. This Special Issue aims to gather recent advanced technologies and applications that address network protocol design, low latency networking, context-aware interaction, energy efficiency, resource management, security, human-robot interaction, assistive technology and robots, application development, and integration of multiple systems that support Vehicular Networks and smart interactions. Designing, dimensioning, and optimization of communication networks resources and services have been an inseparable part of the development of telecommunications and ICT infrastructures from the very beginning of their existence. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • Performance evaluation of communications in vehicular networks
  • Computational Intelligence of vehicular networks and services
  • Computational Intelligence of communications in vehicular networks and resources
  • Optimization techniques for vehicular communication network resources
  • Resource management tools for vehicular networks based on Computational Intelligence
  • Heterogeneous network deployment models based on Computational Intelligence
  • Reasoning and learning techniques for interaction in smart vehicles based on Computational Intelligence
  • Biometrics in vehicular network based on Computational Intelligence
  • Behavioural Biometrics in intelligent transportation systems based on Computational Intelligence
  • Sensors and wireless sensor networks for the Internet of Things
  • Privacy, security, and trust management in vehicular networks based on Computational Intelligence
  • Lightweight Cryptography in vehicular networks based on Computational Intelligence
  • Autonomous and Connected Vehicles based on Computational Intelligence
  • Smart Mobility based on Computational Intelligence
  • Computational Intelligence based Traffic Control and Management systems

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 9854910
  • - Retraction

Retracted: A Way to Automatically Generate Lane Level Traffic Data from Video in the Intersections

Journal of Advanced Transportation
  • Special Issue
  • - Volume 2023
  • - Article ID 9801729
  • - Retraction

Retracted: An Improved Deep Belief Network IDS on IoT-Based Network for Traffic Systems

Journal of Advanced Transportation
  • Special Issue
  • - Volume 2023
  • - Article ID 9892819
  • - Retraction

Retracted: Research on Separation and Emission Reduction of Regional Airliner Based on Wake Encounter Response Model

Journal of Advanced Transportation
  • Special Issue
  • - Volume 2023
  • - Article ID 9768517
  • - Retraction

Retracted: Vehicle Motion State Prediction Method Integrating Point Cloud Time Series Multiview Features and Multitarget Interactive Information

Journal of Advanced Transportation
  • Special Issue
  • - Volume 2023
  • - Article ID 9763635
  • - Retraction

Retracted: Optimization Drive on a Flat Tire Vehicular System for Autonomous E-Vehicles Using Network Distribution Simulations

Journal of Advanced Transportation
  • Special Issue
  • - Volume 2023
  • - Article ID 9835028
  • - Retraction

Retracted: A Content Dissemination Technique Based on Priority to Improve Quality of Service of Vehicular Ad Hoc Networks

Journal of Advanced Transportation
  • Special Issue
  • - Volume 2023
  • - Article ID 9805714
  • - Retraction

Retracted: Evaluation of Soil Quality for Different Types of Land Use Based on Minimum Dataset in the Typical Desert Steppe in Ningxia, China

Journal of Advanced Transportation
  • Special Issue
  • - Volume 2023
  • - Article ID 9796236
  • - Retraction

Retracted: Forecasting Foreign Direct Investment Inflow to Egypt and Determinates: Using Machine Learning Algorithms and ARIMA Model

Journal of Advanced Transportation
  • Special Issue
  • - Volume 2023
  • - Article ID 9761842
  • - Retraction

Retracted: Intelligent Transport Surveillance Memory Enhanced Method for Detection of Abnormal Behavior in Video

Journal of Advanced Transportation
  • Special Issue
  • - Volume 2023
  • - Article ID 9872571
  • - Retraction

Retracted: Thermal Straightening Control System for Variable-Section Automotive Leaf Springs Rolling Based on IoT Edge Computing

Journal of Advanced Transportation
Journal of Advanced Transportation
Publishing Collaboration
More info
Wiley Hindawi logo
 Journal metrics
See full report
Acceptance rate22%
Submission to final decision126 days
Acceptance to publication18 days
CiteScore3.900
Journal Citation Indicator0.480
Impact Factor2.3
 Submit Evaluate your manuscript with the free Manuscript Language Checker

We have begun to integrate the 200+ Hindawi journals into Wiley’s journal portfolio. You can find out more about how this benefits our journal communities on our FAQ.