International Journal of Intelligent Transportation Systems Research

Scope & Guideline

Enhancing Mobility with Innovative Research

Introduction

Explore the comprehensive scope of International Journal of Intelligent Transportation Systems Research through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore International Journal of Intelligent Transportation Systems Research in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1348-8503
PublisherSPRINGER
Support Open AccessNo
Country-
TypeJournal
Convergefrom 2010 to 2024
AbbreviationINT J INTELL TRANSP / Int. J. Intell. Transp. Syst. Res.
Frequency3 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES

Aims and Scopes

The International Journal of Intelligent Transportation Systems Research focuses on advancing the knowledge and application of intelligent transportation systems (ITS) through innovative research and methodologies. The journal aims to address various challenges in transportation by leveraging modern technologies and analytical techniques.
  1. Intelligent Transportation System Design and Optimization:
    Research focusing on the design, optimization, and implementation of ITS solutions that enhance traffic management, improve safety, and increase efficiency in transportation networks.
  2. Machine Learning and Artificial Intelligence Applications:
    Utilization of machine learning, deep learning, and AI techniques to solve complex problems in transportation, such as traffic prediction, vehicle classification, and autonomous driving.
  3. Traffic Modeling and Simulation:
    Development of models and simulations to analyze traffic flow, congestion, and vehicle interactions, enabling better decision-making in transportation planning and management.
  4. Human Factors and Behavioral Analysis:
    Studies exploring the interactions between human drivers and transportation systems, including driver behavior, decision-making processes, and the impact of technology on driving.
  5. Sustainability and Environmental Impact:
    Research addressing the environmental implications of transportation systems, focusing on sustainable practices, energy efficiency, and the integration of electric and autonomous vehicles.
  6. Data-Driven Approaches in Transportation:
    Emphasis on data collection, analysis, and visualization techniques to inform transportation policies and practices, enhancing the overall understanding of travel behavior and system performance.
The International Journal of Intelligent Transportation Systems Research is witnessing several emerging themes that reflect the evolving landscape of transportation research. These trends highlight the journal's responsiveness to contemporary challenges and technological advancements.
  1. Autonomous Vehicle Technologies:
    There is a marked increase in research related to autonomous vehicles, including their integration into existing traffic systems, safety considerations, and user acceptance.
  2. Blockchain in Transportation:
    The application of blockchain technology for secure and efficient transportation systems, including toll collection and data sharing, is gaining momentum.
  3. Smart Cities and Urban Mobility:
    A growing focus on the interplay between intelligent transportation systems and urban development, emphasizing sustainable urban mobility solutions and smart city frameworks.
  4. Real-Time Traffic Management Systems:
    Emerging research is concentrating on real-time data utilization for traffic management, enhancing the efficiency of traffic flow and emergency response.
  5. Human-Machine Interaction in ITS:
    Research on the interaction between humans and intelligent systems, including user interfaces and behavioral responses to advanced driving assistance systems, is becoming increasingly prominent.

Declining or Waning

While the International Journal of Intelligent Transportation Systems Research remains robust in many areas, there are certain themes that appear to be declining in frequency or prominence in recent publications. These waning scopes reflect shifting priorities and advancements in the field.
  1. Traditional Traffic Control Methods:
    Research focused on conventional traffic signal control methods is decreasing, as more innovative approaches using AI and real-time data analytics gain traction.
  2. Static Traffic Modeling:
    Static models that do not account for dynamic changes in traffic conditions are receiving less attention, with a shift towards more adaptive and responsive modeling techniques.
  3. Non-Integrated Transportation Systems:
    Studies that treat transportation systems in isolation, without considering integrative approaches involving multiple modes of transport, are becoming less common as holistic transportation solutions are prioritized.
  4. Conventional Vehicle Tracking Methods:
    The interest in traditional tracking systems is waning, giving way to advanced technologies such as V2X communications and machine learning-based tracking systems.

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