Field Test Results of a Road Departure Crash Warning System: Driver Acceptance, Perceived Utility and Willingness to Purchase

Sayer, James R.; LeBlanc, David J.; Mefford, Mary Lynn; Devonshire, Joel

doi:10.17077/drivingassessment.1218

Cited by 12 publications

(12 citation statements)

References 2 publications

(2 reference statements)

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“…The CSW alerts include an imminent level alert (auditory voice message), and sometimes an earlier, cautionary-level alert (haptic). Subjective feedback to these designs is described in Sayer et al, 2007. …”

Section: Driver Controls and Displaysmentioning

confidence: 99%

“…Furthermore, the table allows one to compute that for the sampled LDW alerts (excluding false alerts), the driver "corrected" or moved the vehicle back toward the center of the original travel lane only 29% of the time. Sayer et al (2007) reports on driver ratings of alert utility using this scenario classification. Table 2 also shows that 43% of the CSW alerts reviewed were associated with system technical issues.…”

Section: Crash Alert Experiencementioning

confidence: 99%

“…A companion paper at this conference addresses the driver acceptance findings (Sayer et al, 2007). The field operational test data was also analyzed by an independent evaluation team at the Volpe National Transportation Systems Center to estimate the potential harm reduction of the system.…”

Section: Introductionmentioning

confidence: 99%

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Field Test Results of a Road Departure Crash Warning System: Driver Utilization and Safety Implications

LeBlanc

Sayer

Winkler

et al. 2007

Proceedings of the 4th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle

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Summary:The Road Departure Crash Warning System Field Operational Test (RDCW FOT) was conducted to assess the safety impacts, driver acceptance levels, and the maturity of road departure crash warning systems as installed on a light vehicle platform. This paper presents the experimental design, performance of the road departure system in naturalistic use, and analyses of safety impacts of the technology using surrogate measures. Use of the system led to a 50% reduction in the observed rate of events in which the equipped vehicle came within 0.1 m of a lane edge in steady-state lane-keeping situations. Lane changes performed without the use of a turn signal were reduced by 43% on freeways and ramps and 24% on surface roads. Levels of lateral acceleration in curves was not significantly different, except on ramps, where a significant change in the 90 th percentile values of lateral acceleration were observed for a within-subject comparison. There were no observed effects of risk homeostasis and no evidence of significant negative unintended consequences.

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Section: Driver Controls and Displaysmentioning

confidence: 99%

Section: Crash Alert Experiencementioning

confidence: 99%

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Field Test Results of a Road Departure Crash Warning System: Driver Utilization and Safety Implications

LeBlanc

Sayer

Winkler

et al. 2007

Proceedings of the 4th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle

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“…12, ViDCo is benchmarked with eight other systems' Usefulness and Satisfying Scales of the SAS after measurement. ViDCo achieves scores comparable to an intelligent cruise control [40], a curve-speed warning system [45], a forward collision warning system [45], and, most satisfactory, another EDAS [46].…”

Section: Discussionmentioning

confidence: 95%

The Virtual Driving Coach - design and preliminary testing of a predictive eco-driving assistance system for heavy-duty vehicles

Heyes¹,

Daun

Zimmermann³

et al. 2015

Eur. Transp. Res. Rev.

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Purpose The commercial vehicle sector is characterized by high competitive pressure. Fuel consumption is one major factor that influences the transport efficiency and competitiveness of logistics companies. Therefore, an eco-driving assistance system (EDAS) is developed in order to support the driver in sustainably maintaining an efficient driving stylethe Virtual Driving Coach (ViDCo). In this paper, we describe the design and development process of ViDCo as well as results of the first steps of evaluation and preliminary testing. Methods An EDAS is developed that uses knowledge of infrastructure based on digital maps in order to proactively and predictively provide the driver with driving advice. The system's algorithms are structured within the modules Bsituation detection^, Bdriving error detection^, and Bmessage filtering and prioritization^. The evaluation of ViDCo comprises preliminary field-testing on public roads as well as a driving simulator experiment. Results Driving tests show that the Virtual Driving Coach is capable of enhancing fuel efficiency for commercial vehicles in real-world scenarios. The results of the driving simulator experiment indicate a positive level of user acceptance and system safety. Furthermore, the results point towards a positive correlation between user acceptance and the subjects' judgment of learning. Conclusions The Virtual Driving Coach's concept is a promising approach for efficient and environmentally friendly road transport.

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“…Substituting equation (30) in equation (29), the closed-loop dynamics for the torque assist are defined as _ T assist = À k assist ∂f ∂T bar T assist À T assist ð Þ ð 31Þ Equation (31) represents the closed-loop dynamics of the torque control loop. The first-order dynamic system (31) is stable under the condition k assist ∂f=∂T bar ð Þ.…”

Section: Assist Torque Generationmentioning

confidence: 99%

Autonomous rear-end collision avoidance using an electric power steering system

Shah

Best

Benmimoun

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part D:

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A step towards fully autonomous vehicles can be achieved by autonomous collision avoidance. This paper presents the development and implementation of a rear-end collision avoidance system which consists of novel linear threat assessment, projected escape path planning with non-zero initial condition, reference generation and linear path control by an electric steering actuator using dynamic inversion. The linear threat assessment continuously calculates threat metrics associated with collision avoidance by either steering or braking. The escape path planner continuously estimates a path with constraints on the peak lateral acceleration and the required lateral deviation. The reference generator then estimates the states for avoidance according to the available friction. Linear state feedback control is applied for path following to avoid a collision in both straight-road scenarios and curved-road scenarios. The proposed approach is evaluated in simulations, and in practice on a C-segment Ford vehicle. A user-related assessment about the usefulness and satisfaction is included to conclude the paper.

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Field Test Results of a Road Departure Crash Warning System: Driver Acceptance, Perceived Utility and Willingness to Purchase

Cited by 12 publications

References 2 publications

Field Test Results of a Road Departure Crash Warning System: Driver Utilization and Safety Implications

Field Test Results of a Road Departure Crash Warning System: Driver Utilization and Safety Implications

The Virtual Driving Coach - design and preliminary testing of a predictive eco-driving assistance system for heavy-duty vehicles

Autonomous rear-end collision avoidance using an electric power steering system

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