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

Search

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

Description

The data includes video traffic data (vehicles, pedestrians, cyclists) registered at 21C Gdanska 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 1615 customers;
•    modal split: 52% car, 43% walk, 5% bike;
•    the highest volume of customers entering the discount store was observed at 11:00-12:00;
•    the highest volume of vehicles entering the parking area was observed at 7:00-8:00;
•    the highest volume of pedestrians entering the parking area was observed at 11:00-12:00.
This study is part of  Engineer's Thesis: Traffic generation modeling for discount shops.

Localisation

https://www.openstreetmap.org/?mlat=54.4031&mlon=18.6334#map=16/54.4031/18.6334

Dataset file

LIDL_Gdanska_102020.zip
33.2 GB, S3 ETag 0a3cb83613b2b4d209ccc66ce915781a-67, downloads: 48
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_Gdanska_102020.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/bwt3-0h42 open in new tab
Series:
Verified by:
Gdańsk University of Technology

Keywords

Cite as

seen 87 times