The European Commission and the Hungarian Public Roads together with the European Transport Research Platforms ACARE, ALICE, CEDR, ECTP, ERRAC, ERTRAC, ETRA and Waterborne organized with great success the Transport Research Arena Conference (TRA2026) which took place in Budapest, Hungary on 18-21 May 2026. The Conference aimed to advance sustainable, inclusive, and innovative transportation solutions under the theme “ReGeneration in Transport“. 
NTUA actively contributed with 32 innovative presentations:
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Modeling Determinants of Sustainable Travel Behavior: A Multivariate Regression Approach - Predicting driver behaviour in a cross-country naturalistic driving study using machine learning techniques
- Factors Influencing Speed Limit Violations on Athens Road Network
- Classifying and Predicting Urban Traffic States Based on Temporal and Weather Conditions
- Investigation of Illegal Pedestrian Crossings at Crosswalks in the Center of Athens, Greece
- Investigation of Non-Compliant Pedestrian Crossings at Signalized Intersections Using Computer Vision Techniques
- A Dual Graph Framework for Edge Embedding and Clustering in Road Safety Analysis
- Lane Segmentation from Street-Level Imagery via Noisy Label Generation and Contrastive Self-Supervision
- Self-Supervised Detection of Harsh Cornering Events at Scale using Smartphone Sensor Data
- From Trend Observation to Risk Interpretation: A Machine Learning Analysis of Micromobility Injury Severity in 2022
- CulturalRoad: A Five-Pillar Framework for Equitable CCAM Implementation Across Europe
- Enhancing Risky Driving Behavior Classification Using Conditional GANs (cGANs): A Data Augmentation Approach
- Understanding speeding through Key Performance Indicators
- Testing of KPIs for the enforcement of traffic regulations
- Investigation of Traffic Safety Culture among Greek drivers
- Advancing Traffic Safety Culture: Developing a Conceptualisation of Cultural Maturity Among Traffic Safety Stakeholders
- TRUST – growing a positive Traffic Safety Culture in the EU
- Exploring the Complex Influences on Sustainable Driving: A Structural Equation Modeling Approach with Multisource Data
- Fuel-based Trip-level Behavior Optimization Employing Metaheuristics
- Video-Based Analysis of Pedestrian Behaviour in Contrasting Greek Urban Environments Using Smartphone Cameras
- A Literature Review on Techniques for Describing and Modelling the Interaction Between Automated Vehicles and Pedestrians
- Assessing Traffic Safety of Vehicle-Pedestrian Interaction at Intersections, Mid-Block Crossings and Jaywalking
- Structural equation model analysis for the identification of the Safety Tolerance Zone
- Predicting Conflict Severity and Safety Impacts of Automated Vehicles in Simulated Urban Networks
- Evaluating Safety Performance of Automated Shuttles Through Hard Braking Analysis in European Urban Pilots
- Analyzing Harsh Events with Spatiotemporal Machine Learning Techniques using Mobile Data
- Understanding Behavioral Relapse in Driving: A Trip-Based Survival Analysis of Risk Indicators Post Feedback
- Comparative Analysis of Liability Frameworks for Automated Vehicles: Legal Readiness in the EU, US and China
- Investigating the Influence of Physical Fitness on Driving Performance and Road Safety
- A Hybrid Extreme Value Theory Framework for Adaptive Pedestrian Crash Risk Estimation
- RSImpact: A global road safety impact model for policy assessment
- MetaCCaze – Flexibly adapted MetaInnovations to accelerate deployment of smart and shared Zero Emission mobility
