The Journal of Innovative Transportation (JIT) aims to provide an international academic platform for researchers, transportation engineers, and industry professionals to exchange knowledge and ideas on the latest developments, innovations, and applications in all areas of transportation.

The journal encourages the dissemination of cutting-edge research that contributes to the design, operation, and sustainability of intelligent, efficient, and safe transportation systems.

The Journal of Innovative Transportation (JIT) covers the full spectrum of transportation systems and technologies, including theoretical, experimental, computational, and applied research. The journal emphasizes innovation, digitalization, and sustainability in all modes of transportation, aiming to bridge the gap between academic research and practical implementation.

JIT particularly welcomes studies that focus on the following core themes:

• Transportation Infrastructure: design, construction, maintenance, and performance evaluation of pavements, bridges, and geotechnical systems.
  
• Intelligent Transportation Systems (ITS): applications of sensing, communication, and automation technologies for safer and more efficient networks.
  
• Real-Time Operations and Traffic Management: monitoring, control, and decision-support systems that enhance multi-modal performance.
  
• Modeling and Simulation: analytical, numerical, and data-driven approaches for prediction, optimization, and system design.
  

In addition, the journal invites contributions addressing emerging challenges and interdisciplinary topics, including but not limited to:

• Traffic flow modeling, control, and optimization
  
• Smart mobility and connected vehicle technologies
  
• Transportation planning and policy analysis
  
• Safety analysis, driver behavior, and crash risk modeling
  
• Public transportation, accessibility, and travel behavior
  
• Freight transportation, logistics, and supply chain management
  
• Environmental impacts, energy efficiency, and decarbonization
  
• Applications of artificial intelligence, big data, and machine learning in transportation
  

By encompassing these areas, JIT fosters knowledge exchange and innovation across the global transportation community, supporting the development of intelligent, safe, and sustainable mobility systems.

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