Data · dataset · 2025
Bangladeshi Traffic Flow Dataset
Listed in Teesside University Research Data Repository
In Bangladesh, general public compliance with traffic regulations is notably low.
Description
This dataset aims to analyze the traffic flow patterns in Dhaka, focusing on both vehicular movement and pedestrian activities. Data were gathered from four different locations: Shapla Chattar, Arambag, Bashabo, and Abul Hotel.
Video recordings were taken from footover bridges, capturing traffic scenarios involving single-lane and double-lane roads, as well as the erratic movement of pedestrians. A total of 23,678 images were extracted from these recordings, which were collected during five distinct time intervals on a weekday, and subsequently annotated using the Roboflow tool. This dataset offers a detailed perspective on Dhaka’s unstructured traffic systems, highlighting various road conditions and heavy traffic environments.
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Its applications include vehicle fitness monitoring, pedestrian behavior analysis, and traffic flow assessment under diverse environmental conditions, such as daylight, dusk, night, and rain. Additionally, this dataset presents opportunities for researchers to explore and apply machine learning techniques to complex, real-world traffic scenarios. Readme file contains folder hierarchy of our dataset.
Links
Where it is published
- DOI doi.org/10.17632/h8bfgtdp2r.6 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Computer vision · Earth & Environmental Science · Engineering · Humanities · Image processing · Life Sciences · Social Science
Provenance · 1 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/h8bfgtdp2r.6 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:460304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computer Vision'] |
| concepts[field].anzsrc:field:460306 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Image Processing'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:video | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |