Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Katsuhiro Iida"'
Publikováno v:
Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management). 76:I_739-I_746
Autor:
Fumitaka Kurauchi, Katsuhiro Iida, Masahiro Tada, Toshihiro Hiraoka, Fumihiko Kanazawa, Nobuhiro Arima
Publikováno v:
Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management). 69:1-11
Publikováno v:
International Journal of Intelligent Transportation Systems Research. 10:56-65
We analyzed the influence of road alignments such as sags and curves and the leading vehicle’s behavior on car-following behavior in a driving simulator experiment. Parameters of a car-following model were estimated from following-vehicle trajector
Publikováno v:
INFRASTRUCTURE PLANNING REVIEW. 27:983-990
Publikováno v:
INFRASTRUCTURE PLANNING REVIEW. 26:847-854
Autor:
Yuichi Sumimoto, Katsuhiro Iida
Publikováno v:
INFRASTRUCTURE PLANNING REVIEW. 24:767-774
This study grasps the merging part of expressway from the upstream section, focuses on the deceleration behavior of the main line vehicle, and examines the deceleration beginning point and its factors. First, the distribution of the deceleration begi
Publikováno v:
INFRASTRUCTURE PLANNING REVIEW. 23:937-944
This Paper aimed to analyze the behavior of the vehicle affected by the length of additional lane. First of all, the reproducibility of the current state of the indoor experiment data was confirmed. Concretely, the reproducibility about the behavior
Publikováno v:
INFRASTRUCTURE PLANNING REVIEW. 22:905-912
In this Paper, the additional lane length was examined from the point of confluence driving action by investigating the change in the driving action according to different additional lane length.The experiment of this study was carried out with a dri
Autor:
Syusaku Akita, Katsuhiro Iida
Publikováno v:
INFRASTRUCTURE PLANNING REVIEW. 21:907-914
Autor:
Sihyoung An, Katsuhiro Iida
Publikováno v:
INFRASTRUCTURE PLANNING REVIEW. 21:925-932
In order to grasp the behavior of moving objects such as pedestrian, bicycles and cars, observing the time series data of their behavior is effective. Up to the present, these data were acquired by analyzing the video image that recorded the field tr