TFP-BD: An image dataset for Traffic Flow and Pedestrian movement analysis on Bangladeshi urban roadsMendeley Data

In Bangladesh, people sadly are not very much concerned about traffic rules. This study focuses on traffic flow patterns at four locations in Dhaka: Shapla Chattar, Arambag, Bashabo and Abul Hotel. Foot over bridges were used to collect video data, which captured single-lane and double-lane traffic...

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Main Authors: Mohammad Manzurul Islam, Aritra Das, Karib Shams, Md. Rakibul Hasan, Kazi Ferdous Hasan, Mohammad Rifat Ahmmad Rashid, Abdullahi Chowdhury, Md Sawkat Ali, Maheen Islam, Mohammed Shahjalal, Saleh Masum
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925001301
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author Mohammad Manzurul Islam
Aritra Das
Karib Shams
Md. Rakibul Hasan
Kazi Ferdous Hasan
Mohammad Rifat Ahmmad Rashid
Abdullahi Chowdhury
Md Sawkat Ali
Maheen Islam
Mohammed Shahjalal
Saleh Masum
author_facet Mohammad Manzurul Islam
Aritra Das
Karib Shams
Md. Rakibul Hasan
Kazi Ferdous Hasan
Mohammad Rifat Ahmmad Rashid
Abdullahi Chowdhury
Md Sawkat Ali
Maheen Islam
Mohammed Shahjalal
Saleh Masum
author_sort Mohammad Manzurul Islam
collection DOAJ
description In Bangladesh, people sadly are not very much concerned about traffic rules. This study focuses on traffic flow patterns at four locations in Dhaka: Shapla Chattar, Arambag, Bashabo and Abul Hotel. Foot over bridges were used to collect video data, which captured single-lane and double-lane traffic conditions involving different types of vehicles and irregular pedestrian movement. The dataset comprises of 23,678 images extracted from the videos, taken at five different time periods on weekdays. These photos were later annotated using roboflow. This dataset provides a unique view on traffic situations in Dhaka, Bangladesh, by presenting unstructured traffic environments in different conditions at different road junctions. Monitoring vehicle fitness, examining pedestrian behaviour, and measuring vehicle flow in varying environmental contexts (e.g., day, dusk, night, rain) are all possible applications. Researchers can experiment with different machine learning techniques in such traffic environments.
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spelling doaj.art-f8c6f72025804ffe9c9a66f9c066034c2025-03-01T05:00:26ZengElsevierData in Brief2352-34092025-04-0159111398TFP-BD: An image dataset for Traffic Flow and Pedestrian movement analysis on Bangladeshi urban roadsMendeley DataMohammad Manzurul Islam0Aritra Das1Karib Shams2Md. Rakibul Hasan3Kazi Ferdous Hasan4Mohammad Rifat Ahmmad Rashid5Abdullahi Chowdhury6Md Sawkat Ali7Maheen Islam8Mohammed Shahjalal9Saleh Masum10Department of Computer Science and Engineering, East West University Bangladesh, Jahurul Islam Ave, Dhaka 1212, Bangladesh; Corresponding author.Department of Computer Science and Engineering, East West University Bangladesh, Jahurul Islam Ave, Dhaka 1212, BangladeshDepartment of Computer Science and Engineering, East West University Bangladesh, Jahurul Islam Ave, Dhaka 1212, BangladeshDepartment of Computer Science and Engineering, East West University Bangladesh, Jahurul Islam Ave, Dhaka 1212, BangladeshDepartment of Computer Science and Engineering, East West University Bangladesh, Jahurul Islam Ave, Dhaka 1212, BangladeshDepartment of Computer Science and Engineering, East West University Bangladesh, Jahurul Islam Ave, Dhaka 1212, BangladeshDepartment of Computer Science and Engineering, East West University Bangladesh, Jahurul Islam Ave, Dhaka 1212, BangladeshDepartment of Computer Science and Engineering, East West University Bangladesh, Jahurul Islam Ave, Dhaka 1212, BangladeshDepartment of Computer Science and Engineering, East West University Bangladesh, Jahurul Islam Ave, Dhaka 1212, BangladeshDepartment of Law, East West University Bangladesh, Jahurul Islam Ave, Dhaka 1212, BangladeshDepartment of Information and Communication Engineering, University of Rajshahi, BangladeshIn Bangladesh, people sadly are not very much concerned about traffic rules. This study focuses on traffic flow patterns at four locations in Dhaka: Shapla Chattar, Arambag, Bashabo and Abul Hotel. Foot over bridges were used to collect video data, which captured single-lane and double-lane traffic conditions involving different types of vehicles and irregular pedestrian movement. The dataset comprises of 23,678 images extracted from the videos, taken at five different time periods on weekdays. These photos were later annotated using roboflow. This dataset provides a unique view on traffic situations in Dhaka, Bangladesh, by presenting unstructured traffic environments in different conditions at different road junctions. Monitoring vehicle fitness, examining pedestrian behaviour, and measuring vehicle flow in varying environmental contexts (e.g., day, dusk, night, rain) are all possible applications. Researchers can experiment with different machine learning techniques in such traffic environments.http://www.sciencedirect.com/science/article/pii/S2352340925001301Pedestrian movementTraffic anomalyTraffic flowEnvironmental context
spellingShingle Mohammad Manzurul Islam
Aritra Das
Karib Shams
Md. Rakibul Hasan
Kazi Ferdous Hasan
Mohammad Rifat Ahmmad Rashid
Abdullahi Chowdhury
Md Sawkat Ali
Maheen Islam
Mohammed Shahjalal
Saleh Masum
TFP-BD: An image dataset for Traffic Flow and Pedestrian movement analysis on Bangladeshi urban roadsMendeley Data
Data in Brief
Pedestrian movement
Traffic anomaly
Traffic flow
Environmental context
title TFP-BD: An image dataset for Traffic Flow and Pedestrian movement analysis on Bangladeshi urban roadsMendeley Data
title_full TFP-BD: An image dataset for Traffic Flow and Pedestrian movement analysis on Bangladeshi urban roadsMendeley Data
title_fullStr TFP-BD: An image dataset for Traffic Flow and Pedestrian movement analysis on Bangladeshi urban roadsMendeley Data
title_full_unstemmed TFP-BD: An image dataset for Traffic Flow and Pedestrian movement analysis on Bangladeshi urban roadsMendeley Data
title_short TFP-BD: An image dataset for Traffic Flow and Pedestrian movement analysis on Bangladeshi urban roadsMendeley Data
title_sort tfp bd an image dataset for traffic flow and pedestrian movement analysis on bangladeshi urban roadsmendeley data
topic Pedestrian movement
Traffic anomaly
Traffic flow
Environmental context
url http://www.sciencedirect.com/science/article/pii/S2352340925001301
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