Enhancing Pedestrian Safety and Urban Mobility through IoT-Based Smart Pedestrian Crossings

In urban areas, ensuring pedestrian safety is crucial, especially in developing countries, where road accidents lead to fatalities and injuries. This paper proposes an IoT-based pedestrian crossing system that utilizes a movable zebra crossing, or "travelator" to enhance pedestrian safety and convenience. The proposed model would incorporate sensors to monitor vehicles, optimizing pedestrian safety and efficiency. Implementing an IoT-based pedestrian crossing system worldwide could have several benefits. Firstly, it would improve pedestrian safety and convenience, particularly for vulnerable groups such as children, the elderly, and people with disabilities. Secondly, it would help reduce traffic congestion and improve traffic flow at busy intersections, bringing broader environmental and public health benefits. Finally, an IoT-based system could enhance the efficiency of public transportation by optimizing pedestrian mobility and reducing travel time. The proposed model can potentially transform urban mobility in any country and address some of the country’s most pressing public safety and infrastructure challenges. This paper briefly overviews how the system was designed and implemented and analyzes how it could impact pedestrian safety, traffic flow, and public transportation efficiency. An IoT-based system for pedestrian crossing can potentially improve pedestrian safety and mobility in developing countries. It can also be replicated in other urban areas facing similar challenges.

Authors

Institutions

Publication Details

Published
2025-02-13
DOI
https://doi.org/10.1109/ecce64574.2025.11013514
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Pedestrian Safety and Urban Mobility through IoT-Based Smart Pedestrian Crossings

Tonmoy Roy, Nabila Rahman, Sumaiya Jahan, Golam Rabbani et al.
Traffic Prediction and Management Techniques
article

Enhancing Pedestrian Safety and Urban Mobility through IoT-Based Smart Pedestrian Crossings

Tonmoy Roy, Nabila Rahman, Sumaiya Jahan, Golam Rabbani, Md. Shamiul Islam, Adarsh Naidu, AL Arafath Zihad
article en

Abstract

In urban areas, ensuring pedestrian safety is crucial, especially in developing countries, where road accidents lead to fatalities and injuries. This paper proposes an IoT-based pedestrian crossing system that utilizes a movable zebra crossing, or "travelator" to enhance pedestrian safety and convenience. The proposed model would incorporate sensors to monitor vehicles, optimizing pedestrian safety and efficiency. Implementing an IoT-based pedestrian crossing system worldwide could have several benefits. Firstly, it would improve pedestrian safety and convenience, particularly for vulnerable groups such as children, the elderly, and people with disabilities. Secondly, it would help reduce traffic congestion and improve traffic flow at busy intersections, bringing broader environmental and public health benefits. Finally, an IoT-based system could enhance the efficiency of public transportation by optimizing pedestrian mobility and reducing travel time. The proposed model can potentially transform urban mobility in any country and address some of the country’s most pressing public safety and infrastructure challenges. This paper briefly overviews how the system was designed and implemented and analyzes how it could impact pedestrian safety, traffic flow, and public transportation efficiency. An IoT-based system for pedestrian crossing can potentially improve pedestrian safety and mobility in developing countries. It can also be replicated in other urban areas facing similar challenges.

National College of Ireland (IE), Utah State University (US), International University of Business Agriculture and Technology (BD), Bangladesh University of Business and Technology (BD)
Sustainable cities and communities
Openalex Percentile: Top 88%
Traffic Prediction and Management Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.