Enhancing Urban Micromobility Safety and Adoption through Biometrics and Mobile Sensing Technologies in El Paso, TX and New Brunswick, NJ

This project will explore how street-level infrastructure design factors affect the perceived safety of e-scooters in El Paso, Texas, and New Brunswick, New Jersey, using advanced biometric sensing technologies like eye-tracking glasses, galvanic skin response sensors, heart rate trackers, and video cameras. Researchers at the University of Texas El Paso (UTEP) and Rutgers will conduct e-scooter riding experiments with varied environments, infrastructure, demographics, and micromobility policies. This analysis aims to identify stress patterns, safety issues, and congestion challenges faced by micromobility users. Thirty participants will be recruited in each city, with diverse demographics, to ride e-scooters on pre-defined paths featuring different travel environments, such as bike lanes, varied land uses, shaded areas, and topographies. The post-trip questionnaire survey data will be collected to calibrate/validate sensor results. The sensor data on the perceived travel environment will be digitized using advanced segmentation and object detection algorithms applied to video and gaze data. Statistical and machine learning models will analyze gaze behavior and perceived stress levels by environment, providing insights on improved infrastructure design and transportation policies for e-scooters.

Language

  • English

Project

Subject/Index Terms

Filing Info

  • Accession Number: 01937746
  • Record Type: Research project
  • Source Agency: Connected Communities for Smart Mobility Towards Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER)
  • Contract Numbers: 69A3551747124
  • Files: UTC, RIP
  • Created Date: Nov 21 2024 4:37PM