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Intersection Traffic Light Assistant - An Evaluation of the Suitability of two Human Machine Interfaces

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

The efficiency of traffic flow in urban areas can be improved with a Traffic Light Assistant (TLA), which indicates the status of upcoming traffic lights based on a driver's current traveling speed. Additionally, TLAs can help reduce the number of stops at traffic lights, which will also have a positive effect on fuel consumption. In the current paper, two different Human Machine Interfaces (HMIs) for a TLA were designed as smartphone applications with multimodal interactions. Driver glance behavior was tested according to the NHTSA guideline. The results show the outcomes of a suitability study carried out in a static driving simulator. Both HMI concepts (Perspective HMI: 915 ms; Two-Dimensional HMI: 849 ms) fulfill the NHTSA requirement that the 85th percentile of single glance duration is to less than 2 seconds.

Original languageEnglish
Title of host publication2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages261-265
Number of pages5
ISBN (Electronic)9781728103235
DOIs
StatePublished - 7 Dec 2018
Event21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018 - Maui, United States
Duration: 4 Nov 20187 Nov 2018

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2018-November
ISSN (Print)2153-0009
ISSN (Electronic)2153-0017

Conference

Conference21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018
Country/TerritoryUnited States
CityMaui
Period4/11/187/11/18

Keywords

  • driver distraction
  • glance behavior
  • human machine interface
  • smartphone
  • suitability
  • traffic light assistant

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