International Conference on Transportation Systems Engineering and Data Mining

ICTSEDM

11th Sep – 12th Sep 2026 Athens, Greece

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Registration Summary

Conference ICTSEDM

Date 11th Sep – 12th Sep 2026

Location Athens, Greece

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Advancements in Traffic Analytics +

This track focuses on the latest methodologies and technologies in traffic analytics. Participants will explore data-driven approaches to understanding traffic patterns and behaviors.

SDG 9 SDG 11

02 Predictive Modeling in Transportation Systems +

This session will delve into predictive modeling techniques that enhance decision-making in transportation systems. Emphasis will be placed on the application of machine learning algorithms to forecast traffic conditions.

SDG 9

03 Smart Mobility Solutions +

This track examines innovative smart mobility solutions that leverage data mining for improved urban transportation. Discussions will include the integration of IoT and big data in developing efficient mobility systems.

SDG 11

04 Sensor Data Analysis for Infrastructure Performance +

This session will highlight the role of sensor data in assessing and optimizing infrastructure performance. Participants will discuss techniques for analyzing real-time data to enhance transportation system reliability.

SDG 9

05 Route Optimization Techniques +

This track will explore advanced algorithms and frameworks for route optimization in various transportation contexts. The focus will be on minimizing travel time and maximizing efficiency through data-driven strategies.

SDG 11

06 Transportation Planning and Data Integration +

This session addresses the integration of data mining techniques in transportation planning processes. Participants will share insights on how data can inform strategic planning and policy-making.

SDG 11

07 Intelligent Transportation Systems (ITS) and Data Mining +

This track investigates the intersection of intelligent transportation systems and data mining. Discussions will center on how data analytics can enhance the functionality and effectiveness of ITS.

SDG 9

08 Data-Driven Approaches to Traffic Management +

This session will focus on data-driven strategies for effective traffic management. Participants will explore case studies that demonstrate the impact of analytics on reducing congestion and improving safety.

SDG 11

09 Machine Learning Applications in Transportation +

This track highlights the application of machine learning techniques in various transportation-related challenges. Topics will include anomaly detection, classification, and regression in traffic data.

SDG 9

10 Big Data and Its Impact on Transportation Engineering +

This session will explore the implications of big data on transportation engineering practices. Participants will discuss challenges and opportunities presented by large-scale data in transportation systems.

SDG 11

11 Sustainable Transportation Solutions through Data Mining +

This track examines how data mining can contribute to sustainable transportation solutions. Discussions will focus on optimizing resource use and reducing environmental impacts through informed decision-making.

SDG 11