TY - GEN
T1 - A basic study for improving the predictability of amber traffic lights
T2 - 13th IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016
AU - Xu, Zhihan
AU - Wu, Qiong
AU - Li, Yujie
AU - Kataoka, Yuta
AU - Takahashi, Satoshi
AU - Wu, Jinglong
AU - Li, Chunlin
AU - Ohno, Seiichiro
AU - Kanazawa, Susumu
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - 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.
AB - 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.
KW - amber traffic light
KW - fMRI
KW - interval
KW - rhythm prediction
UR - http://www.scopus.com/inward/record.url?scp=84991245176&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84991245176&partnerID=8YFLogxK
U2 - 10.1109/ICMA.2016.7558974
DO - 10.1109/ICMA.2016.7558974
M3 - Conference contribution
AN - SCOPUS:84991245176
T3 - 2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016
SP - 2587
EP - 2592
BT - 2016 IEEE International Conference on Mechatronics and Automation, IEEE ICMA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 August 2016 through 10 August 2016
ER -