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Showing 6 of 6 academic articles

The influence of roadway characteristics and built environment on the extent of over-speeding: An exploration using mobile automated traffic camera data

Boniphace Kutela, Frank Ngeni, Cuthbert Ruseruka, Tumlumbe Juliana Chengula et al. • International Journal of Transportation Science and Technology (2025)

Over-speeding is a pivotal factor in fatal traffic crashes globally, necessitating robust speed management strategies to augment road safety. In 2021, the National Highway Traffic Safety Administration reported over 12 000 speed-related fat...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ijtst.2024.03.003

Identifying urban features for vulnerable road user safety in Europe

Marina Klanjčić, Laetitia Gauvin, Michele Tizzoni, Michael Szell • EPJ Data Science (2022)

Abstract One of the targets of the UN Sustainable Development Goals is to substantially reduce the number of global deaths and injuries from road traffic collisions. To this aim, European cities adopted various urban mobility policies, whic...

DOAJ Open Access (DOAJ) DOI: 10.1140/epjds/s13688-022-00339-5

Performance Benchmarking: Pre-trained Models and Custom Convolutional Neural Networks in Deep Learning

Sheemona Joseph C., S. Ganesh, S. Kannadhasan, K. Selvipriya • Journal of Informatics and Web Engineering (2025)

Recent advances in computer vision and deep learning, particularly Convolutional Neural Networks (CNNs), have significantly increased road safety. CNNs were used in this work to automatically detect and categorise traffic signs—a crucial ta...

DOAJ Open Access (DOAJ) DOI: 10.33093/jiwe.2025.4.2.14

Improved U-Net Model for Road Crack Detection Based on Residual and Attention Mechanism

YU Haiyang, JING Peng, ZHANG Wentao, XIE Saifei, HUA Zhihua, SONG Caoyuan • Jisuanji gongcheng (2023)

Road cracks are an important part of road safety detection,and with the development of deep learning and computer vision,methods for extracting crack information in road images using deep learning methods are maturing.Existing deep learning...

DOAJ Open Access (DOAJ) DOI: 10.19678/j.issn.1000-3428.0064952