A basic study for improving the predictability of amber traffic lights: Comparing the brief and long interval rhythm prediction

Zhihan Xu, Qiong Wu, Yujie Li, Yuta Kataoka, Satoshi Takahashi, Jinglong Wu, Chunlin Li, Seiichiro Ohno, Susumu Kanazawa

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

Abstract

Defective and faulty traffic lights are the major cause of traffic accidents. Insufficient prediction for the appearance of the amber light will lead to a rear-end collision if the lead driver take a severe brake. In order to make the amber light predictable, we provided an improvement tentative plan for the green traffic light, in which a rhythm flashing pattern was inserted in the latter presentation part of the green light. In this case, drivers can take advantage of temporal information given by the rhythm to predict the upcoming umber light. However the most appropriate duration and the frequency of the flashing part is still unclear. We used a rhythm prediction task to identify and compare the brief (500ms) and long (1700ms) interval prediction in fMRI. We observed left Insula and right middle frontal gyrus (MFG) showed significantly activated during brief interval prediction. Bilateral middle temporal gyrus (MTG), Superior frontal gyrus (SFG), and the right inferior temporal gyrus (ITG), caudate were more active in the long interval prediction. Overall, this research showed that reaction times for brief interval was shorter than long inter prediction, also suggested a distinct mechanisms recruited for the brief and long interval rhythm prediction.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2587-2592
Number of pages6
ISBN (Electronic)9781509023943
DOIs
Publication statusPublished - Sep 1 2016
Event13th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016 - Harbin, Heilongjiang, China
Duration: Aug 7 2016Aug 10 2016

Other

Other13th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016
CountryChina
CityHarbin, Heilongjiang
Period8/7/168/10/16

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Keywords

  • amber traffic light
  • fMRI
  • interval
  • rhythm prediction

ASJC Scopus subject areas

  • Mechanical Engineering
  • Artificial Intelligence
  • Computer Science Applications
  • Software

Cite this

Xu, Z., Wu, Q., Li, Y., Kataoka, Y., Takahashi, S., Wu, J., Li, C., Ohno, S., & Kanazawa, S. (2016). A basic study for improving the predictability of amber traffic lights: Comparing the brief and long interval rhythm prediction. In 2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016 (pp. 2587-2592). [7558974] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMA.2016.7558974