“Python code for accessing Numina and analyzing data.”-Using Computer Vision Data to Evaluate Bicycle and Pedestrian Improvements

Michael Lowry; Don MacKenzie

doi:10.7910/dvn/qipcps

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“Python code for accessing Numina and analyzing data.”-Using Computer Vision Data to Evaluate Bicycle and Pedestrian Improvements

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“Python code for accessing Numina and analyzing data.”-Using Computer Vision Data to Evaluate Bicycle and Pedestrian Improvements

Michael Lowry and Don MacKenzie

Harvard Dataverse

2025

DOI: https://doi.org/10.7910/dvn/qipcps

Abstract

Numina

Python

Engineering

Social Sciences

The file called analysis.pdf provides the code we used to analyze data. The filed called module.pdf is the module we created to access Numina data. The module requires the python packages called gql and pandas. The code requires a password from Numina.

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Title: “Python code for accessing Numina and analyzing data.”-Using Computer Vision Data to Evaluate Bicycle and Pedestrian Improvements
Creators: Michael Lowry - University of Idaho
Don MacKenzie - University of Washington
Publisher: Harvard Dataverse
Identifiers: 996762969201851
Academic Unit: Center for Traffic Operations and Control; Civil and Environmental Engineering
Language: English
Resource Type: Dataset