TY - GEN
T1 - Intersection Traffic Light Assistant - An Evaluation of the Suitability of two Human Machine Interfaces
AU - Winzer, Oliver M.
AU - Conti-Kufner, Antonia S.
AU - Bengler, Klaus
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/7
Y1 - 2018/12/7
N2 - 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.
AB - 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.
KW - driver distraction
KW - glance behavior
KW - human machine interface
KW - smartphone
KW - suitability
KW - traffic light assistant
UR - https://www.scopus.com/pages/publications/85060455945
U2 - 10.1109/ITSC.2018.8569708
DO - 10.1109/ITSC.2018.8569708
M3 - Conference contribution
AN - SCOPUS:85060455945
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 261
EP - 265
BT - 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE International Conference on Intelligent Transportation Systems, ITSC 2018
Y2 - 4 November 2018 through 7 November 2018
ER -