Driver Lane Keeping Behavior in Normal Driving using 100-Car Naturalistic Driving Study Data

被引：0

作者：

Johnson, Taylor ^{[1
]}

Sherony, Rini ^{[2
]}

Gabler, Hampton C. ^{[1
]}

机构：

[1] Virginia Tech Ctr Injury Biomech, Blacksburg, VA 24060 USA

[2] Toyota Engn & Mfg North Amer Inc, Ann Arbor, MI 48105 USA

来源：

2016 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV) | 2016年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Lane departure warning (LDW) systems have great potential to reduce the number of road departures and resulting crashes, but only if drivers accept and react appropriately to the warnings. With a better understanding of normal lane keeping, there is the potential opportunity for improvement in the timing and driver acceptance of LDW warnings. The study investigates the distribution of lane keeping during normal driving based on the relationship of lateral velocity and lateral distance to lane boundary, and examines how this distribution changes with lane width and road radius of curvature. This study utilizes data from 6,109 trips driven by 40 unique primary drivers enrolled in the Virginia Tech Transportation Institute (VTTI) 100-Car naturalistic driving study.

引用

页码：227 / 232

页数：6

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