Paper Type
Complete
Paper Number
PACIS2025-1797
Description
Pedestrian safety remains a critical concern that has received less attention despite technological advancements in vehicular safety, thereby creating a gap in urban road safety measures. This scoping review, following the Arksey and O’Malley framework, investigates ICT-enabled technologies aimed at improving pedestrian safety at urban crosswalks. Thirty-five (35) articles from 2016 to 2025 were reviewed. Six key themes emerged: (1) AI-based detection and recognition (e.g., YOLO and deep learning systems), (2) smart lighting and warning systems, (3) connected vehicle and V2X communication, (4) sensor fusion and multi-modal systems, (5) behavioral analysis and prediction, and (6) assistive technologies for vulnerable users. AI and sensor fusion systems demonstrated the highest detection accuracies at 98.6% and 99.11%, respectively. Geographic trends highlight regional strengths across the United States, Europe, and Asia. Challenges persist in real-time adaptability, inclusive design, multimodal integration, and policy fragmentation.
Recommended Citation
Amboang, Jyresa Mae; Galido, Adrian; and Alce, Apple Rose B., "ICT-enabled Technologies for Pedestrian Safety A Scoping Review" (2025). PACIS 2025 Proceedings. 7.
https://aisel.aisnet.org/pacis2025/iot_smartcity/iot_smartcity/7
ICT-enabled Technologies for Pedestrian Safety A Scoping Review
Pedestrian safety remains a critical concern that has received less attention despite technological advancements in vehicular safety, thereby creating a gap in urban road safety measures. This scoping review, following the Arksey and O’Malley framework, investigates ICT-enabled technologies aimed at improving pedestrian safety at urban crosswalks. Thirty-five (35) articles from 2016 to 2025 were reviewed. Six key themes emerged: (1) AI-based detection and recognition (e.g., YOLO and deep learning systems), (2) smart lighting and warning systems, (3) connected vehicle and V2X communication, (4) sensor fusion and multi-modal systems, (5) behavioral analysis and prediction, and (6) assistive technologies for vulnerable users. AI and sensor fusion systems demonstrated the highest detection accuracies at 98.6% and 99.11%, respectively. Geographic trends highlight regional strengths across the United States, Europe, and Asia. Challenges persist in real-time adaptability, inclusive design, multimodal integration, and policy fragmentation.
Comments
IoT