DRIVER ERROR AND THE IMPLICATIONS FOR INTELLIGENT TRANSPORT SYSTEMS DESIGN

机译：驱动程序错误及其对智能运输系统设计的影响

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Recent research indicates that driver error contributes to most accidents. Despite this, only relatively little is currently known about the types of errors that drivers make and of the causal factors that contribute to these errors being made. This paper presents an overview of the literature on driver error in road transport. A generic driver error classification scheme is proposed based upon the dominant psychological mechanisms thought to be involved. A range of potential technological solutions that could be used to either prevent, or mitigate, the consequences of the driver errors identified are specified.

机译：最近的研究表明，驾驶员失误是造成大多数事故的原因。尽管如此，对于驾驶员造成的错误类型以及造成这些错误的因果因素，目前知之甚少。本文概述了道路运输中驾驶员错误的文献。基于被认为涉及的主要心理机制，提出了一种通用的驾驶员错误分类方案。指定了一系列可用于预防或减轻所识别的驾驶员错误后果的潜在技术解决方案。

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来源
《World congress and exhibition on intelligent transport systems and services;ITS world congress》|2009年|p.1-9|共9页
会议地点 Stockholm(SE);Stockholm(SE)
作者
Neville A. Stanton; Paul M. Salmon;
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作者单位

Transportation Research Group, School of Civil Engineering and the Environment University of Southampton, Highfield, Southampton, SO17 1BJ, UK,n.stanton@soton.ac.uk, +44 (0)2380 599065;

MUARC, Monash University, Australia;

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原文格式 PDF
正文语种 eng
中图分类电子计算机在公路运输和公路工程中的应用;
关键词
Driver Error; In-car Technology; Error classification;

机译：驾驶员错误;车内技术;错误分类;

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专利

1. Human error taxonomies applied to driving: A generic driver error taxonomy and its implications for intelligent transport systems [J] . Neville A. Stanton, Paul M. Salmon Safety science . 2009,第2期

机译：人为错误分类法应用于驾驶：通用驾驶员错误分类法及其对智能交通系统的影响
2. Work domain analysis and intelligent transport systems: implications for vehicle design [J] . Paul M. Salmon, Michael Regan, Michael G. Lenne, International Journal of Vehicle Design . 2007,第3期

机译：工作领域分析和智能运输系统：对车辆设计的影响
3. Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems [J] . Da Lio M., Biral F., Bertolazzi E., Intelligent Transportation Systems, IEEE Transactions on . 2015,第1期

机译：人工副驾驶员作为未来智能车辆和运输系统的通用技术
4. DRIVER ERROR AND THE IMPLICATIONS FOR INTELLIGENT TRANSPORT SYSTEMS DESIGN [C] . World congress and exhibition on intelligent transport systems and services . 2009

机译：驾驶员错误和智能运输系统设计的影响
5. Mathematical modeling of driver speed control with its applications in intelligent transportation system design. [D] . Zhao, Guozhen. 2011

机译：驾驶员速度控制的数学建模及其在智能交通系统设计中的应用。
6. Vehicle Speed and Length Estimation Errors Using the Intelligent Transportation System with a Set of Anisotropic Magneto-Resistive (AMR) Sensors [O] . Vytautas Markevicius, Dangirutis Navikas, Adam Idzkowski, 2019

机译：使用带有一组各向异性磁阻（AMR）传感器的智能运输系统的车辆速度和长度估计误差
7. Artificial co-drivers as a universal enabling technology for future intelligent vehicles and transportation systems [O] . Da Lio, Mauro, Biral, Francesco, Bosetti, Paolo, 2015

机译：人工副驾驶员作为未来智能车辆和交通系统的通用推动技术
8. Human Performance in Intelligent Transportation Systems, Information Systems, and Highway Design and Older Drivers [R] . Overton, J. 1997

机译：智能交通系统，信息系统，公路设计和老年驾驶员的人员表现

DRIVER ERROR AND THE IMPLICATIONS FOR INTELLIGENT TRANSPORT SYSTEMS DESIGN

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