An NTUA Diploma Thesis titled “Model for the assessment of cycling routes in Athens with high resolution data” was recently presented by Aristeidis-Vasileios Kanakis. For this purpose, the critical factors that influence the cycling trips carried out in the areas of Chalandri and Vrilissia, utilizing crowdsourced data from the “Strava Metro” platform, were identified. The results demonstrate a positive effect of the average speed of cycling on the number of cycling trips. The most critical influencing factors on cycling trips concern road infrastructure and traffic conditions on each road section, such as the average speed of cycling trips, the category of road section and its length.
Model for the assessment of cycling routes in Athens with high resolution data, March 2024
Related Posts
-
Detection of dangerous driving behaviour with wide-scale data from smart systems and machine learning techniques, November 2024
September 25th, 2024 | Comments Off on Detection of dangerous driving behaviour with wide-scale data from smart systems and machine learning techniques, November 2024 -
Modeling and Sustainability Implications of Harsh Driving Events: A Predictive Machine Learning Approach, July 2024
September 13th, 2024 | Comments Off on Modeling and Sustainability Implications of Harsh Driving Events: A Predictive Machine Learning Approach, July 2024 -
Analysis of harsh braking and harsh acceleration occurrence via explainable imbalanced machine learning using high-resolution smartphone telematics and traffic data, August 2024
August 26th, 2024 | Comments Off on Analysis of harsh braking and harsh acceleration occurrence via explainable imbalanced machine learning using high-resolution smartphone telematics and traffic data, August 2024