IEEE Intelligent Transportation Systems Magazine

Scope & Guideline

Connecting Ideas to Revolutionize Travel

Introduction

Welcome to the IEEE Intelligent Transportation Systems Magazine information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of IEEE Intelligent Transportation Systems Magazine, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN1939-1390
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2009 to 2024
AbbreviationIEEE INTEL TRANSP SY / IEEE Intell. Transp. Syst. Mag.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address445 HOES LANE, PISCATAWAY, NJ 08855-4141

Aims and Scopes

The IEEE Intelligent Transportation Systems Magazine focuses on the intersection of transportation systems and advanced technologies. It aims to disseminate innovative research and applications that enhance the design, implementation, and management of intelligent transportation systems (ITS).
  1. Intelligent Transportation Systems (ITS) Development:
    The journal emphasizes the development and implementation of ITS, incorporating advanced technologies such as AI, machine learning, and data analytics to improve transportation efficiency and safety.
  2. Autonomous and Connected Vehicles:
    Research on autonomous and connected vehicles is a significant focus area, exploring their design, functionality, and integration into existing traffic systems.
  3. Traffic Management and Control Strategies:
    The journal publishes studies on innovative traffic management and control strategies, including the use of real-time data and predictive analytics for congestion management.
  4. Human Factors and Safety in Transportation:
    Understanding human behavior in transportation systems is crucial, and the journal addresses safety issues, driver behavior, and the interaction between humans and automated systems.
  5. Sustainability and Environmental Impact:
    The journal also explores the sustainability aspects of transportation systems, including the impact of new technologies on energy consumption and emissions.
  6. Cybersecurity in Transportation Systems:
    With the rise of connected vehicles and ITS, the journal examines cybersecurity risks and countermeasures to protect transportation networks.
The IEEE Intelligent Transportation Systems Magazine is evolving to incorporate cutting-edge research and trends that reflect the current technological landscape. This section identifies the emerging themes and trends observed in the journal's recent publications.
  1. Artificial Intelligence and Machine Learning Applications:
    There is a notable increase in the application of AI and machine learning techniques in various aspects of transportation, from traffic prediction to autonomous vehicle decision-making.
  2. Data-Driven Decision Making:
    The trend towards leveraging big data analytics for real-time decision-making in traffic management and transportation systems is on the rise, with numerous studies exploring data integration and analytics.
  3. Cybersecurity and Resilience in Transportation Systems:
    As transportation systems become more connected, the focus on cybersecurity and resilience against cyber threats is gaining momentum, highlighting the need for robust security frameworks.
  4. User-Centric and Human Factors Research:
    An emerging focus on user-centric design and human factors in transportation systems is evident, addressing safety and usability in automated and connected environments.
  5. Sustainable Transportation Innovations:
    Research exploring sustainable practices and technologies, such as electric vehicles and smart public transport systems, is increasingly prevalent, aligning with global sustainability goals.

Declining or Waning

While the IEEE Intelligent Transportation Systems Magazine has consistently focused on emerging technologies and their applications in transportation, certain themes appear to be waning in frequency or emphasis. This section highlights those declining scopes.
  1. Traditional Traffic Engineering Methods:
    As the focus shifts towards innovative technologies and data-driven approaches, traditional traffic engineering methods are becoming less prominent in recent publications.
  2. Manual Traffic Control Systems:
    With the rise of automation and intelligent systems, research related to manual traffic control systems is diminishing as more emphasis is placed on automated solutions.
  3. Basic Vehicle Infrastructure Communication:
    The basic vehicle-to-infrastructure communication studies are declining as more complex and integrated communication systems, including V2X technologies, gain traction.
  4. General Public Transportation Studies:
    Specific studies focusing solely on public transportation without the integration of smart technologies or data analytics are less frequently published, indicating a shift towards more technologically integrated approaches.
  5. Static Traffic Models:
    The relevance of static traffic modeling is decreasing in favor of dynamic and adaptive models that better reflect real-time traffic conditions and behaviors.

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