Investigating Speed Deviation Patterns During Glucose Episodes: A Quantile Regression Approach

Aparna Joshi, Jennifer Merickel, Cyrus V. Desouza, Matthew Rizzo, Pujitha Gunaratne, Anuj Sharma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Given the growing prevalence of diabetes, there has been significant interest in determining how diabetes affects instrumental daily functions, like driving. Complication of glucose control in diabetes includes hypoglycemic and hyperglycemic episodes, which may impair cognitive and psychomotor functions needed for safe driving. The goal of this paper was to determine patterns of diabetes speed behavior during acute glucose to drivers with diabetes who were euglycemic or control drivers without diabetes. Results advance prior literature that has focused on average driver behavior by employing distribution-based analytic methods that better capture speed control patterns.

Original languageEnglish (US)
Title of host publication2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5750-5755
Number of pages6
ISBN (Electronic)9798350399462
DOIs
StatePublished - 2023
Event26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023 - Bilbao, Spain
Duration: Sep 24 2023Sep 28 2023

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
ISSN (Print)2153-0009
ISSN (Electronic)2153-0017

Conference

Conference26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023
Country/TerritorySpain
CityBilbao
Period9/24/239/28/23

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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