Work

New Approach to Intelligent Pedestrian Detection and Signaling on Crosswalks — (Supplementary Material)

Year: 2024

Type: article

Abstract: The supplementary dataset supporting this research (10.1109/TITS.2024.3445156) provides resources for replicating the experimental evaluation of an intelligent crosswalk system. It includes XLS files with raw and processed photogrammetric data, such as vehicle speed profiles, pedestrian trajectory dispersion and statistical indicators under different lighting conditions (day and night). Additionally, the dataset contains 2,191 MP4 video files with a total size of 15.8 GB, documenting real-world trials over several days. These videos capture traffic scenarios, including pedestrian crossings and vehicle interactions, enabling visual analysis of speed reduction and trajectory improvements. Together, these resources offer a solid foundation for reproducibility, behavioral studies and future research on AI-based traffic signaling systems. No data related to AI algorithms is included due to intellectual property protection under patent WO 2018/050945.

Source: IEEE Transactions on Intelligent Transportation Systems

DOI: 10.5281/zenodo.17979704

Authors: Mateo Sanguino, Tomás de J., Lozano Domínguez, José Manuel, Redondo González, Manuel Joaquín, Dávila Martín, José Miguel

Institution: Universidad de Huelva

Language: English

Topic: Traffic and Road Safety

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $2,495