Consistent Academic Support
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.
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Conference Program
Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
Why it matters
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
Explore
All Session Tracks
Track 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.
Track 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.
Track 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.
Track 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.
Track 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.
Track 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.
Track 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.
Track 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.
Track 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.
Track 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.
Track 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.