International Conference on Transportation Data Analytics and Smart Systems (ICTDASS - 26)

This track focuses on the latest methodologies and technologies in transportation data analytics. Researchers are invited to present innovative approaches that enhance the understanding and utilization of transportation data.

This session explores the integration of smart systems in traffic management to improve efficiency and safety. Papers should discuss novel applications and the impact of technology on traffic flow and congestion mitigation.

This track emphasizes the role of predictive analytics in forecasting transportation trends and behaviors. Contributions should highlight case studies and models that demonstrate the effectiveness of predictive techniques in transportation planning.

This session aims to showcase cutting-edge innovations in intelligent transport systems (ITS). Researchers are encouraged to present their findings on the deployment and effectiveness of ITS technologies in urban and rural settings.

This track addresses the challenges and solutions related to data integration in transportation engineering. Papers should explore methodologies that facilitate the seamless integration of diverse data sources for improved decision-making.

This session focuses on strategies for optimizing workflows in transportation project planning and execution. Contributions should detail innovative practices that enhance project efficiency and stakeholder collaboration.

This track examines the principles of infrastructure management with a focus on resilience against disruptions. Researchers are invited to discuss frameworks and technologies that support sustainable infrastructure development.

This session highlights innovative urban mobility solutions that contribute to the development of smart cities. Papers should present research on sustainable transportation options and their integration into urban planning.

This track explores advanced data visualization techniques that enhance the interpretation of transportation data. Researchers are encouraged to present tools and methods that facilitate effective communication of complex data insights.

This session focuses on optimization techniques for improving the performance of transportation networks. Contributions should include algorithms and models that address capacity, efficiency, and sustainability challenges.

This track invites discussions on engineering solutions that promote sustainable transportation practices. Papers should explore innovative designs and technologies that minimize environmental impact while enhancing mobility.