MPC
Project Details

Title:	Utilizing Traffic Signal Pedestrian Push-Button Data for Planning and Safety Analysis
Principal Investigators:	Patrick Singleton
University:	Utah State University
Status:	Active
Year:	2020
Grant #:	69A3551747108 (FAST Act)
Project #:	MPC-622
RiP #:	01732727
RH Display ID:	154553
Keywords:	built environment, data collection, pedestrian actuated controllers, pedestrian safety, signalized intersections, traffic volume, transportation planning

Abstract

Multimodal transportation planning and traffic safety analyses require information on how many people walk in various locations throughout the day. Unfortunately, traditional pedestrian data collection methods are insufficient for these purposes. This project utilizes a new and ubiquitous source of archived and real-time pedestrian data: pedestrian push-button actuations recorded in high-definition data logs from traffic signal controllers at signalized intersections. First, we extend the usefulness of pedestrian signal data by developing direct demand models of pedestrian volumes (at signalized intersections) as a function of local built environment characteristics, which can then be applied to unsignalized intersections and future scenarios. Second, we utilize pedestrian signal data as a measure of pedestrian exposure in the development of improved pedestrian intersection safety predictive methods and models. Project results in the form of transportation planning and safety analysis tools—enhanced with the use of pedestrian signal data—are expected to help improve pedestrian safety by advising agencies about risk factors and potential countermeasures as well as advance pedestrian planning efforts to create more livable communities.

Project Word Files

• Show project Word files
  • Full Description (Word, 33K)
  • UTC Project Information (Word, 20K)

  Note to project PIs: please use the Track Changes feature when editing the above Word file(s). Updated document(s) should be emailed to ndsu.ugpti@ndsu.edu.