Correlation and Evaluation of Driver/Vehicle Directional Handling Data

Weir, David H.; DiMarco, Richard J.

doi:10.4271/780010

Cited by 61 publications

(10 citation statements)

References 17 publications

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“…The vehicle yaw rate response to steer input given by Eqn (3.78) 00 is dependant not only on the response time, t r ; but also the gain constant G r d ð0Þ: Here, Weir et al measured the actual vehicle equivalent t r and G r d ð0Þ; and investigated the relation of these two values with the vehicle's controllability [8]. The result is shown in Fig.…”

Section: Response Time and Gain Constant And Controllabilitymentioning

confidence: 92%

Vehicle Handling Quality

Abé¹,

Manning²

2009

Vehicle Handling Dynamics

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Section: Response Time and Gain Constant And Controllabilitymentioning

confidence: 92%

Vehicle Handling Quality

Abé¹,

Manning²

2009

Vehicle Handling Dynamics

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“…There are three traditionally different approaches for quantifying objective handling related metrics: Physical testing of vehicles using highly trained professional test engineers (Bergman [, ], Weir and DiMarco [], Mimuro et al. [], King et al.…”

Section: Proposed Methods For Design Of Vehicle Handling Dynamicsmentioning

confidence: 99%

“…Physical testing of vehicles using highly trained professional test engineers (Bergman [, ], Weir and DiMarco [], Mimuro et al. [], King et al.…”

Section: Proposed Methods For Design Of Vehicle Handling Dynamicsmentioning

confidence: 99%

An Integrated Systems Engineering Method for Conceptual Design of Vehicle Handling Dynamics

Hazare

Venhovens

2015

Syst. Engin.

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The handling characteristics of road vehicles are important attributes that define a major part of its unique selling proposition. The engineering process of tuning vehicle handling dynamics is a challenging process due to the multitude of competing design requirements/parameters and requires a well-defined systematic approach. The primary objective of this publication is to describe an integrated system engineering method for the conceptual design of vehicle handling dynamics early in the product development process. A systems engineering-based simulation framework is described that connects subjective, customerrelevant handling expectations to higher-level, objective vehicle engineering targets and consequently breaks these targets down into subsystem-level requirements and component-level design specifications. A case study supporting this proposed system engineering method for vehicle handling design is also described in detail. The integrated systems engineering approach guides the engineering development process and provides insight into the compromises involved in vehicle handling layout, ultimately saving product development time and costs and helping to achieve a higher level of product maturity early in the design phase. C⃝ 2016 Wiley Periodicals, Inc. Syst Eng 18: 659-675, 2015

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“…To understand why such sensor inputs may be desirable, it has been shown in numerous prior studies of closed-loop driver modelling research [26,27,28,29,30] that driver steering control depends to varying degree upon a variety of vehicle motion cues. Key feedback cues used by drivers for path regulation typically identified in such studies include previewed errors associated with vehicle lateral position and yaw angle, as well as driver sensations of yaw rate, sideslip, and lateral acceleration.…”

Section: Description Of Assumed Sensor Measurementsmentioning

confidence: 99%

Application of Elementary Neural Networks and Preview Sensors for Representing Driver Steering Control Behaviour

MacAdam

Johnson

1996

Vehicle System Dynamics

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This paper demonstrates the use of elementary neural networks for modelling and representing driver steering behaviour in path regulation control tasks. Areas of application include uses by vehicle simulation experts who need to model and represent specific instances of driver steeringcontrol behaviour, potential on-board vehicle technologies aimed at representing and tracking driver steering control behaviour over time, and use by human factors specialists interested in representing or classifying specific families of driver steering behaviour. Example applications are shown for data obtained from a driver/vehicle numerical simulation, a basic driving simulator, and a n experimental on-road test vehicle equipped with a camera and sensor processing system.

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Correlation and Evaluation of Driver/Vehicle Directional Handling Data

Cited by 61 publications

References 17 publications

Vehicle Handling Quality

Vehicle Handling Quality

An Integrated Systems Engineering Method for Conceptual Design of Vehicle Handling Dynamics

Application of Elementary Neural Networks and Preview Sensors for Representing Driver Steering Control Behaviour

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