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

7th November 2026 || Pondicherry - India || Hybrid Mode

Proudly Organized by INRI

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Conference Session Tracks

The International Conference on Transportation Systems and Data Analytics (ICTSDA), scheduled to be held on 7th November 2026 in Pondicherry, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Data Analytics.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Innovations in Transportation Analytics
    This track focuses on the latest advancements in transportation analytics, emphasizing the integration of big data and machine learning techniques. Researchers are invited to present methodologies that enhance decision-making processes in transportation systems. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 11 – Sustainable Cities and Communities
  • Track 02 – Predictive Modeling in Traffic Management
    This session explores the application of predictive modeling techniques to improve traffic management and reduce congestion. Contributions should highlight case studies or novel approaches that leverage historical traffic data for real-time decision support. Aligned SDGs: SDG 11 – Sustainable Cities and Communities
  • Track 03 – Supply Chain Analytics for Transportation Efficiency
    This track examines the role of supply chain analytics in optimizing transportation logistics and operational efficiency. Papers should discuss frameworks that utilize data analytics to enhance supply chain performance in the transportation sector. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 04 – Machine Learning Applications in Fleet Management
    This session delves into the use of machine learning algorithms for fleet management, focusing on predictive maintenance and route optimization. Participants are encouraged to share insights on how these technologies can lead to cost reductions and improved service delivery. Aligned SDGs: SDG 8 – Decent Work and Economic Growth
  • Track 05 – IoT and Real-Time Monitoring in Transportation
    This track investigates the impact of Internet of Things (IoT) technologies on real-time monitoring of transportation systems. Researchers are invited to present innovative solutions that utilize IoT data for enhanced operational insights and responsiveness. Aligned SDGs: SDG 11 – Sustainable Cities and Communities
  • Track 06 – Logistics Analytics for Smart Cities
    This session addresses the integration of logistics analytics within the framework of smart city initiatives. Contributions should focus on how data-driven approaches can enhance urban mobility and logistics efficiency. Aligned SDGs: SDG 11 – Sustainable Cities and Communities  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 07 – Data Visualization Techniques in Transportation Systems
    This track emphasizes the importance of data visualization in understanding complex transportation datasets. Papers should explore innovative visualization methods that aid in the interpretation and communication of transportation analytics findings. Aligned SDGs: SDG 4 – Quality Education
  • Track 08 – Risk Assessment in Transportation Planning
    This session focuses on methodologies for risk assessment in transportation planning, particularly in the context of uncertain data and dynamic environments. Researchers are encouraged to present frameworks that incorporate risk analysis into transportation decision-making. Aligned SDGs: SDG 11 – Sustainable Cities and Communities
  • Track 09 – Operational Efficiency through Network Analysis
    This track examines the application of network analysis techniques to enhance operational efficiency in transportation systems. Contributions should detail how network models can inform strategic planning and resource allocation. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
  • Track 10 – Data Mining Techniques for Transportation Insights
    This session explores the use of data mining techniques to extract valuable insights from transportation datasets. Papers should highlight novel approaches that uncover hidden patterns and trends relevant to transportation systems. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Cloud Integration for Transportation Data Management
    This track investigates the role of cloud computing in the management and analysis of transportation data. Researchers are invited to discuss frameworks that facilitate cloud integration for improved data accessibility and collaboration. Aligned SDGs: SDG 9 – Industry, Innovation and Infrastructure  |  SDG 12 – Responsible Consumption and Production
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 4 SDG 4
    Quality Education
  • SDG 8 SDG 8
    Decent Work and Economic Growth
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure
  • SDG 11 SDG 11
    Sustainable Cities and Communities
  • SDG 12 SDG 12
    Responsible Consumption and Production

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228