New Results in Driver Steering Control Models

McRuer, Duane T.; Allen, Robert B.; Weir, David H.; Klein, R H

doi:10.1177/001872087701900406

Cited by 268 publications

(166 citation statements)

References 12 publications

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“…The model was published in 1967 and it is still alive and well: it has been improved several times (e.g. McRuer et al, 1977) and it has provided fundamental bricks for the majority if not all of the later steering models (Figure 4). Reid (1983) has actually suggested to use the STI-model as a benchmark against which to compare new driver models.…”

Section: Adaptive Control Modelsmentioning

confidence: 99%

A Critical View of Driver Behavior Models: What Do We Know, What Should We Do?

Michon

1985

Human Behavior and Traffic Safety

922

691

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There appears to be a lack of new ideas in driver behavior modeling. Although behavioral research is under some pressure, it seems too facile to attribute this deplorable state of affairs only to a lack of research funds. In my opinion the causal chain may well run in the opposite direction. An analysis of what is wrong has led me to the conclusion that human factors research in the area of driver behavior has hardly been touched by the "cognitive revolution" that 'swept psychology in the past fifteen years. A more cognitive approach might seem advisable and the "promise of progress" of such an approach should be assessed.

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Section: Adaptive Control Modelsmentioning

confidence: 99%

A Critical View of Driver Behavior Models: What Do We Know, What Should We Do?

Michon

1985

Human Behavior and Traffic Safety

922

691

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“…Driving a vehicle can be described as a hierarchical combination of navigation, guidance, and vehicle control (McRuer, Allen, Weir, and Klein, 1977). It is for this reason that a top down, GOMSstyle task description, can provide a useful representation of driving.…”

Section: Main Concepts Of the Steering Modelmentioning

confidence: 99%

Modeling steering using the Queueing Network - Model Human Processor (QN-MHP)

Tsimhoni¹,

Liu²

2003

PsycEXTRA Dataset

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The Queueing Network -Model Human Processor (QN-MHP) is a computational architecture that combines the mathematical theories and simulation methods of queueing networks (QN) with the symbolic and procedure methods of a GOMS-style task description and the Model Human Processor (MHP). Using QN-MHP, a steering model was created to represent the concurrent perceptual, cognitive, and motor activities involved in vehicle steering as truly concurrent processes. The model was compared with driving performance of human subjects and demonstrated realistic steering behavior. It steered a simulated vehicle at a fixed speed within the lane boundaries of straight sections and curves of different radii. In a quantitative validation of several basic measures of driving performance, the steering model yielded steering angle and lateral position similar to the human subject data. This work showed the strength of QN-MHP as a model of driving behavior. Ongoing work further develops the model by expanding the scope of the driving task and by adding a concurrent secondary in-vehicle task.

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“…One is the feedback from responses, which is used to control and regulate driving. A major part of this is the closed-loop control that enables experienced drivers to maintain speed, position, separation distance, etc., with a minimum of effort (McRuer et al, 1977). The other is the feedforward from the current understanding to regulating and controlling actions.…”

Section: Driving As a Joint Systemmentioning

confidence: 99%

They Drive at Night - Can Visual Enhancement Systems Keep the Driver in Control?

Hollnagel

Karlsson

Magnusson

et al. 2001

Proceedings of the First International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design: Dr

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Summary: Driving requires a combination of open-loop and closed-loop control. The open-loop control is affected by the quality of visual input, and therefore constrained during driving at night. This study investigated the effects of a Visual Enhancement System during simulated night driving conditions. It was hypothesised that the VES would improve the driver's control, hence the quality of driving. 40 Ss drove about 120 km on a simulated Swedish road with and without a VES. At the time of writing, the experiments have just finished. Data analysis will focus on derived measures that correspond to the driver's degree of control.

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New Results in Driver Steering Control Models

Cited by 268 publications

References 12 publications

A Critical View of Driver Behavior Models: What Do We Know, What Should We Do?

A Critical View of Driver Behavior Models: What Do We Know, What Should We Do?

Modeling steering using the Queueing Network - Model Human Processor (QN-MHP)

They Drive at Night - Can Visual Enhancement Systems Keep the Driver in Control?

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