Pedestrian traffic signal data (ped-signal-data)

Deliverables from the "Utilizing archived traffic signal performance measures for pedestrian planning & analysis" research project UT18.602, funded by the Utah Department of Transportation, and carried out by Patrick Singleton,Prasanna Humagain and the Singleton Transportation Lab at Utah State University.

Publications

• Singleton, P. A., Runa, F., & Humagain, P. (2020). Utilizing archived traffic signal performance measures for pedestrian planning and analysis (UT-20.17). Utah Department of Transportation. https://rosap.ntl.bts.gov/view/dot/54924
• Singleton, P. A., & Runa. F. (2021). Pedestrian traffic signal data accurately estimates pedestrian crossing volumes. Transportation Research Record: Journal of the Transportation Research Board, 2675(6), 429-440. https://doi.org/10.1177/0361198121994126
• Singleton, P. A., Taylor, M., Day, C., Poddar, S., Kothuri, S., & Sharma, A. (2021). Impact of COVID-19 on traffic signal systems: A survey of agency interventions and observed changes in pedestrian activity. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.1177/03611981211026303

Description of Folders

Typologies: Scripts, data, and results of the cluster analysis to identify patterns (typologies) of pedestrian activity at traffic signals.

Temporal Patterns: Scripts and data resulting from the analysis of temporal patterns and spatial characteristics of pedestrian push-button data.

Example Data Collect: Example scripts, raw data, video, and combined data showing how to collect and process pedestrian event data and combine it with signal data.

Data: Data collected and assembled, including about videos, pedestrian crossing events, and combined with signal data.

Models: Scripts, data, and results of the regression modeling to develop (factoring) methods to estimate pedestrian volumes from signal data.

Example Apply Models: Example scripts, data, and results of applying the regression models to raw signal data and estimating pedestrian volumes.

Visualization: Scripts, data, and interfaces that create a prototype to visualize pedestrian signal activity.

Presentation: PDF of Powerpoint presentation provided to UDOT in August 2020.

NOTES ON R scripts: These scripts were written in R. To use, download R (https://cloud.r-project.org/) and then download RStudio (https://rstudio.com/products/rstudio/download/#download). Then, follow additional instructions in each folder.