Analysis on Influence of Deceleration Generated by Adaptive Cruise Control on Driver Forward Collision Accident-avoidance Behavior

Norika Arai･Shounosuke Tsujiide･Yohei Fujinami･Raksincharoensak Pongsathorn (Tokyo University of Agriculture and Technology)･Fumio Sugaya･Toshinori Okita･Shintaro Inoue･Masaaki Uechi (Toyota Motor)

Adaptive Cruise Control （ACC） is designed for enhancing driving convenience. It is reported that the use of ACC reduces the collision rate on highways even though drivers who overtrust the system conduct secondary task during driving. This paper describes the analysis on the influence of deceleration generated by ACC on the driver avoidance maneuver and the collision risk reduction effect in the driving situation that drivers are conducting secondary task.

Experimental Study about Avoidance Behavior of the Driver who Meets with the Dangerous Scenes during City Driving (The 2nd Report)

Toru Kojima･Yuki Manabe･Koichi Kitada･Kenji Morizaki (NALTEC)･Seitaro Fukuda･Tadahumi Shima (MLIT)･Yukihiro Ikeda (Toyota Motor)

In order to study the relation of safety level between automated driving vehicle and human driver, analysis of driving behavior of human drivers is necessary. In this research, the experimental test by using the driving simulator was conducted in some dangerous traffic scenes, which were selected from the accident patterns assumed to occur in the root where the automated driving demonstration on the public road and mixture traffic with other traffic participants were planned.

Investigation on Prediction Method of Traffic Participant Darting-out Velocity from Blind Spot Considering Traffic Environment Context

Ryuki Ota･Aki Tanikawa･Pongsathorn Raksincharoensak･Masao Nagai･Yohei Fujinami (Tokyo University of Agriculture and Technology)･Takaya Yamazaki･Minoru Higuchi (Honda R&D)

This study proposes a model for estimating the dynamic behavior of darting-out objects in a poor visibility driving environment in order to develop an advanced driver assistance system (ADAS) that aims to reduce the number of collision accidents on urban roads.
Based on real driving data, we modeled the relationship between the traffic environment context and the dynamic behavior of darting-out objects employing probabilistic theory. This approach indicated the possibility of estimating the characteristics of the darting-out objects.

An Analysis of Lateral Distance between Four Wheeled Vehicles and Overtaking Motorcycles in ASEAN Region

Hisashi Imanaga･Hiroki Kawashima (JARI)･Takashi Hasegawa･Hiroyuki Mae (JAMA)

This study analyzes lateral distance between four wheeled vehicles (cars) and overtaking motorcycles in Thai and Malaysian highway. It was confirmed that most motorcycles drive around white both lines of car driving lanes, and the frequency decreases with lateral distance from car. In addition, the form of distribution changes depending on car travelling speed (the peak is shifting to far side if driving speed increasing).