Human factor evaluation of in-vehicle signal assistance system

Joyoung Lee, Slobodan Gutesa

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

Abstract

This paper assesses the effectiveness of In-Vehicle Signal Assistance (ISA) that can be deployed to intersections in Smart City. Using Signal Phase and Timing (SPaT) data through wireless connectivity under Smart City environment, ISA assists drivers to perform safe and smooth crossings at the next intersection. Employing a Driving Simulator, ten subject drivers are recruited to examine the impact of ISA from the perspective of human drivers. Based on Likert Scale, a questionnaire is designed to conduct experiments to accurately capture the diverse driving behaviors of the subject drivers. Experiment results showed that between 70% and 90% of subject drivers agree that the ISA application is a useful tool for improving the safety and mobility of their driving conditions. It is also discovered that the ISA application enables the drivers to move vehicles faster, by producing travel time savings of as much as 5 seconds per driver, on average. With the observations discovered from the acceleration profile and trajectory data, the ISA application assisted drivers with conducting smooth driving maneuvers and, in turn, improved the safety, mobility, and comfort of drivers when crossing an intersection.

Original languageEnglish (US)
Title of host publication2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538604342
DOIs
StatePublished - Jun 26 2018
Event2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - San Francisco, United States
Duration: Apr 4 2017Apr 8 2017

Publication series

Name2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings

Other

Other2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
Country/TerritoryUnited States
CitySan Francisco
Period4/4/174/8/17

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Safety, Risk, Reliability and Quality
  • Urban Studies

Keywords

  • Connected Vehicle
  • Driving Simulator
  • Human Factor
  • In-Vehicle Signal Assistance
  • V2I Communications

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