Road Safety: Human Factors Aspects of Intelligent Vehicle Technologies

2018 ◽  
pp. 318-332 ◽  
Author(s):  
Cristina Olaverri-Monreal
Keyword(s):  
Human Factors ◽  
Road Safety ◽  
Intelligent Vehicle ◽  
Vehicle Technologies

scholarly journals Human factors and road safety

1987 ◽  
Vol 18 (4) ◽  
pp. 289-296 ◽  
Author(s):  
M. Sivak
Keyword(s):  
Human Factors ◽  
Road Safety

RETRACTED: Impact of Information Bandwidth of In-Vehicle Technologies on Young Drivers’ Attention Maintenance Performance: A Driving Simulator Study

2017 ◽  
Vol 61 (1) ◽  
pp. 1639-1643
Keyword(s):  
Human Factors ◽  
Driving Simulator ◽  
Young Drivers ◽  
Simulator Study ◽  
Vehicle Technologies ◽  
Maintenance Performance

This proceedings paper was inadvertently published after the authors notified the journal of their desire to withdraw the paper from the conference. The paper was not actually presented at the conference. This retraction is being issued at the authors’ request. The Journal, Human Factors, and SAGE apologize to the authors and readers for the inadvertent publication.

Human Factors Testing Issues in Road Safety

2019 ◽  
pp. 341-362 ◽  
Author(s):  
Samuel G. Charlton ◽  
Brett D. Alley ◽  
Peter H. Baas ◽  
Jean E. Newman
Keyword(s):  
Human Factors ◽  
Road Safety

scholarly journals IMPROVEMENT OF ROAD SAFETY USING PASSIVE AND ACTIVE INTELLIGENT VEHICLE SAFETY SYSTEMS

Transport ◽  
2007 ◽  
Vol 22 (4) ◽  
pp. 284-289 ◽  
Author(s):  
Aldona Jarašūnienė ◽  
Gražvydas Jakubauskas
Keyword(s):  
Road Safety ◽  
White Paper ◽  
Transport Systems ◽  
Vehicle Safety ◽  
Intelligent Vehicle ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Mode Of Transport ◽  
Safety Systems ◽  
Safety Applications

Following the measures foreseen in the Transport White Paper 2001, situation of road safety has improved. Road fatalities have declined by more than 17 % since 2001 in the EU. However, with around 41 600 deaths and more than 1.7 million injured in 2005, road remains the least safe mode of transport and objectives to halve the number of fatalities on road by 2010 is most likely not feasible to achieve. Therefore a need for the intelligent vehicle safety systems, that enable to raise the level of road safety, is much higher than ever before. The Intelligent Vehicle Safety Systems ensure a superior safety on road would it be vehicle‐based or infrastructure‐related systems. These can be divided into passive and active safety applications where the former help people stay alive and uninjured in a crash, while the latter help drivers to avoid accidents. Some of the most promising (e‐call) and the most used (ABS, ESP) systems are analised more specifically in the paper. Possible solutions to deploying intelligent transport systems in Lithuania are also introduced.

Preface to the Special Issue on Human Factors and Advanced Vehicle Automation: Of Benefits, Barriers, and Bridges to Safe and Effective Implementation

2020 ◽  
Vol 62 (2) ◽  
pp. 189-193
Author(s):  
William J. Horrey ◽  
John D. Lee
Keyword(s):  
Human Factors ◽  
Experimental Studies ◽  
Special Issue ◽  
Automated Driving ◽  
Effective Implementation ◽  
Different Types ◽  
Vehicle Technology ◽  
Vehicle Automation ◽  
Vehicle Technologies ◽  
Near Future

Objective The aim of this special issue is to bring together the latest research related to driver interaction with various types of vehicle automation. Background Vehicle technology has undergone significant progress over the past decade, bringing new support features that can assist the driver and take on more and more of the driving responsibilities. Method This issue is comprised of eight articles from international research teams, focusing on different types of automation and different user populations, including driver support features through to highly automated driving systems. Results The papers comprising this special issue are clustered into three categories: (a) experimental studies of driver interactions with advanced vehicle technologies; (b) analysis of existing data sources; and (c) emerging human factors issues. Studies of currently available and pending systems highlight some of the human factors challenges associated with the driver–system interaction that are likely to become more prominent in the near future. Moreover, studies of more nascent concepts (i.e., those that are still a long way from production vehicles) underscore many attitudes, perceptions, and concerns that will need to be considered as these technologies progress. Conclusions Collectively, the papers comprising this special issue help fill some gaps in our knowledge. More importantly, they continue to help us identify and articulate some of the important and potential human factors barriers, design considerations, and research needs as these technologies become more ubiquitous.

Research on Stereo Matching Algorithm in Intelligent Vehicle Application

2014 ◽  
Vol 678 ◽  
pp. 35-38 ◽  
Author(s):  
Peng He ◽  
Feng Gao
Keyword(s):  
Stereo Vision ◽  
Stereo Matching ◽  
Driver Assistance System ◽  
Experimental Results ◽  
Assistance System ◽  
Intelligent Vehicle ◽  
Driver Assistance ◽  
Matching Algorithm ◽  
Environment Perception ◽  
Vehicle Technologies

Perception of environment in front of driving vehicle is a core investigation theme of intelligent vehicle technologies aiming to increase safety, convenience and efficiency of driving. Using stereo vision for environment perception is a hot technology. This paper developed an algorithm for stereo matching in intelligent vehicle application. The experimental results indicate that this algorithm is effective. Furthermore, this algorithm paves the way for the implementation of automotive driver assistance system.

Intelligent Vehicle Highway Systems (IVHS): Human Factors Issues in Subsystem Development

1992 ◽  
Vol 36 (15) ◽  
pp. 1063-1063
Author(s):  
Truman M. Mast ◽  
Joseph I. Peters
Keyword(s):  
Human Factors ◽  
Public Transportation ◽  
Traffic Management ◽  
Transportation Systems ◽  
Common Element ◽  
Intelligent Vehicle ◽  
Traveler Information ◽  
Traveler Information Systems ◽  
Public Transportation Systems ◽  
Intelligent Vehicle Highway Systems

Intelligent Vehicle-Highway Systems (IVHS) is a major U.S. Department of Transportation initiative to improve the safety and efficiency of our nation's highways. IVHS includes five related components: Advanced Traffic Management Systems (ATMS); Advanced Traveler Information Systems (ATIS); Commercial Vehicle Operations (CVO); Advanced Vehicle Control Systems (AVCS); and, Advanced Public Transportation Systems (APTS). Although the Federal Highway Administration has initially chosen to address each of these components separately, a number of issues are shared by all components. One critical common element deals with the capabilities of the humans in the system. Appropriate guidelines that consider the needs and capabilities of operators, maintainers, and users will be critical for efficient functioning of each system. Efforts are underway to define and resolve critical human factors issues related to IVHS components. This symposium addresses four of the five more highway related IVHS components. For each of these components, presenters will define the key engineering characteristics, hypothetical scenarios that focus on human-system interfaces, and examples of human factors issues that must be considered in the design of IVHS systems.

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