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

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

Description

The data includes video traffic data (vehicles, pedestrians, cyclists) registered at 75 Chrobrego 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 1749 customers;
•    modal split: 50% car, 46% walk, 4% 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 15:00-16:00;
•    the highest volume of pedestrians entering the parking area was observed at 17:00-18:00.
This study is part of Engineer's Thesis: Traffic generation modeling for discount shops.

Localisation 

https://www.openstreetmap.org/?mlat=54.3901&mlon=18.6181#map=16/54.3901/18.6181

Dataset file

Lidl_Chrobrego_102020.zip
33.2 GB, S3 ETag ddd04ed1b25a4d5e225fd7c8fdeb7b7b-67, downloads: 49
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_Chrobrego_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:
2020
Verification date:
2021-04-26
Creation date:
2020
Dataset language:
English
Fields of science:
  • Civil engineering and transport (Engineering and Technology)
DOI:
DOI ID 10.34808/8h5r-a403 open in new tab
Series:
Verified by:
Gdańsk University of Technology

Keywords

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