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

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

Description

The data includes video traffic data (vehicles, pedestrians, cyclists) registered at 71 Czerska 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 1535 customers;
•    modal split: 59% car, 39% walk, 2% bike;
•    the highest volume of customers entering the discount store was observed at 18:00-19:00;
•    the highest volume of vehicles entering the parking area was observed at 19:00-20:00;
•    the highest volume of pedestrians entering the parking area was observed at 18:00-19:00.
This study is part of  Engineer's Thesis: Traffic generation modeling for discount shops

Localisation 

https://www.openstreetmap.org/?mlat=54.3005&mlon=18.6072#map=16/54.3005/18.6072

Dataset file

Lidl_Czerska_10.2020.zip
33.2 GB, S3 ETag 483754ed4d838d86989a50235ef69a81-67, downloads: 5
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_Czerska_10.2020.zip

File details

License:
Creative Commons: by-nc-sa 4.0 open in new tab
CC BY-NC-SA
Non-commercial - Share-alike
Raw data:
Data contained in dataset was not processed.

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/n5gk-w567 open in new tab
Series:
Verified by:
Gdańsk University of Technology

Keywords

Cite as

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