Video DATA - Traffic generation modeling for discount shops - Dragana Street - Open Research Data - Bridge of Knowledge

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Video DATA - Traffic generation modeling for discount shops - Dragana Street

Description

The data includes video traffic data (vehicles, pedestrians, cyclists) registered at 27 Dragana street in Gdansk. The data covers the day 01.10.2020 at 6:00-22:00. The video camera was installed at the parking area belonging to the discount store Lidl. The data obtained was used in analysis, providing information about the modal split, the number of customers and vehicles, as well as commercial peak hours occurring in the analyzed object.

Collected data include:
•    during the opening hours (6:00-22:00) the store was visited by 1687 customers;
•    modal split: 52% walk, 46% car, 2% bike;
•    the highest volume of customers entering the discount store was observed at 17:00-18:00;
•    the highest volume of vehicles entering the parking area was observed at 17:00-18:00;
•    the highest volume of pedestrians entering the parking area was observed at 12:00-13:00.
This study is part of  Engineer's Thesis: Traffic generation modeling for discount shops.

Localisation 

https://www.openstreetmap.org/?mlat=54.33960&mlon=18.61715#map=17/54.33960/18.61715

Dataset file

LIDL_Dragana_102020.zip
33.2 GB, S3 ETag b0ce35370a484f571ba705d72b9641a5-67, downloads: 52
The file hash is calculated from the formula
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.

Example script for calculation:
https://github.com/antespi/s3md5
download file LIDL_Dragana_102020.zip

File details

License:
Creative Commons: by-nc-sa 4.0 open in new tab
CC BY-NC-SA
Non-commercial - Share-alike

Details

Year of publication:
2021
Verification date:
2021-04-26
Creation date:
2020
Dataset language:
English
Fields of science:
  • Civil engineering and transport (Engineering and Technology)
DOI:
DOI ID 10.34808/ywx3-7v04 open in new tab
Series:
Verified by:
Gdańsk University of Technology

Keywords

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