NDLI: Comparison of car following behavior between UK and Japan

Content Provider	IEEE Xplore Digital Library
Author	Sato, T. Akamatsu, M. Pengjun Zheng McDonald, M.
Copyright Year	2009
Description	Author affiliation: Institute for Human Science and Biomedical Engineering, National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan (Sato, T.; Akamatsu, M.) \|\| Transportation Research Group (TRG), School of Civil Engineering and the Entironment, University of Southampton, UK (Pengjun Zheng; McDonald, M.)
Abstract	This paper describes a comparison study of driver's car following behavior between Southampton (UK) and Tsukuba (Japan). AIST and TRG have developed instrumented vehicles, and filed experiments for behavioral data collection were conducted in each country. The research focused on the static (distribution of inter-vehicle distances and desired headway distance) and the dynamic aspects (acceleration rate according to relative speeds and distance divergence) of the car following behavior. The dynamic aspect was evaluated using fuzzy logic car following model developed at TRG. The results suggest that Southampton drivers tend to take shorter distance headway and accelerate more strongly when the velocity of the leading vehicle is faster. The distance headway of Tsukuba drivers was found to be longer and the deceleration was stronger while approaching a leading vehicle. The implications and future direction of car-following behavior comparison study are discussed.
Starting Page	4155
Ending Page	4160
File Size	361555
Page Count	6
File Format	PDF
ISBN	9784907764340
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-18
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	SICE
Subject Keyword	Vehicle driving Vehicles Instruments Vehicle dynamics Acceleration Automatic control Control systems Fuzzy logic Humans Adaptive systems Cross-cultural study Car following behavior Instrumented vehicle Fuzzy logic model Headway distance
Content Type	Text
Resource Type	Article

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