Do in-vehicle advanced signs enhance older and younger drivers’ intersection performance? Driving simulation and eye movement results

Caird, Jeff K.; Chisholm, Susan; Lockhart, J

doi:10.1016/j.ijhcs.2006.07.006

Cited by 73 publications

(41 citation statements)

References 27 publications

(44 reference statements)

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“…The current studies documented large effects of warnings given much shorter lead times, 1.5 to 3 s before end of green, than in prior research, that is, the 5-to 12-s lead times in Caird et al (2008), Messer et al (2004), and Pant and Huang (1992). Designers of control systems for intelligent intersections may benefit from knowing that warnings presented only 1.5 s before end of green seem to improve driving safety.…”

Section: Improving Displays and Control Systems For Intelligent Intersupporting

confidence: 46%

Effects of Intelligent Advanced Warnings on Drivers Negotiating the Dilemma Zone

et al. 2014

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Objective: We investigated whether intelligent advanced warnings of the end of green traffic signals help drivers negotiate the dilemma zone (DZ) at signalized intersections and sought to identify behavioral mechanisms for any warningrelated benefits.Background: Prior research suggested that warnings of end of green can increase slowing and stopping frequency given the DZ, but drivers may sometimes respond to warnings by speeding up. Method:In two simulator studies, we compared six types of roadway or in-vehicle warnings with a no-warning control condition. Using multilevel modeling, we tested mediation models of the behavioral mechanisms underlying the effects of warnings.Results: In both studies, warnings led to more stopping at DZ intersections and milder decelerations when stopping compared with no warning. Drivers' predominant response to warnings was anticipatory slowing on approaching the intersection, not speeding up. The increased stopping with warning was mediated by increased slowing. In Study 1, anticipatory slowing given warnings generalized to green-light intersections where no warning was given. In Study 2, we found that lane-specific warnings (e.g., LED lights embedded in each lane) sometimes led to fewer unsafe emergency stops than did nonlane-specific roadside warnings.Conclusion: End-of-green warnings led to safer behavior in the DZ and on the early approach to intersections. The main mechanism for the benefits of warnings was drivers' increased anticipatory slowing on approaching an intersection. Lane-specific warnings may have some benefits over roadside warnings.Application: Applications include performance models of how drivers use end-of-green warnings, control algorithms and warning displays for intelligent intersections, and statistical methodology in human factors research.

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Section: Improving Displays and Control Systems For Intelligent Intersupporting

confidence: 46%

Effects of Intelligent Advanced Warnings on Drivers Negotiating the Dilemma Zone

et al. 2014

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“…In theory, giving the older driver information about speed limit, priority regulation, and approaching traffic in advanced can compensate for attentional capacity challenges leaving enough resources to fulfill the primary driving task; freeing up just enough resources to drive. In the past, designing for in-vehicle signs has shown some promising results (Staplin & Fisk, 1991;Hanowski et al, 1999;Lee et al, 1999;Luoma and Rämä, 2002;Caird et al, 2008;Ziefle et al, 2008;Davidse et al, 2009), but research has only been done sporadically. Staplin and Fisk (1991) investigated whether advanced information about left turns improved decision making performance in younger and older drivers.…”

Section: Introductionmentioning

confidence: 99%

“…Older as well as younger drivers benefitted from the advanced information. Caird et al (2008) investigated an in-vehicle warning system which informed the driver about the status of the upcoming traffic light. They found that drivers run fewer red lights when the advanced information was present.…”

Section: Introductionmentioning

confidence: 99%

Intersection assistance: A safe solution for older drivers?

Dotzauer¹,

Caljouw

Waard

et al. 2013

Accident Analysis & Prevention

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Abstract:Within the next few decades, the number of older drivers operating a vehicle will increase rapidly (Eurostat, 2011). As age increases so does physical vulnerability, age-related impairments, and the risk of being involved in a fatal crashes. Older drivers experience problems in driving situations that require divided attention and decision making under time pressure as reflected by their overrepresentation in at-fault crashes on intersections. Advanced Driver Assistance Systems (ADAS) especially designed to support older drivers crossing intersections might counteract these difficulties. In a longer-term driving simulator study, the effects of an intersection assistant on driving were evaluated. 18 older drivers (M= 71.44 years) returned repeatedly completing a ride either with or without a support system in a driving simulator. In order to test the intersection assistance, eight intersections were depicted for further analyses. Results show that ADAS affects driving. Equipped with ADAS, drivers allocated more attention to the road center rather than the left and right, crossed intersections in shorter time, engaged in higher speeds, and crossed more often with a critical *Manuscript Click here to view linked References 2 time-to-collision (TTC) value. The implications of results are discussed in terms of behavioral adaptation and safety. Keywords:intersection assistance, older drivers, behavioral adaptation, safety, ADAS Highlights: More attention is allocated to the road center when driving with the system  Intersection assistance decreases intersection crossing time  Drivers equipped with ADAS cross intersections more often with a critical TTC 3

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“…During the research there were made measurements, which were used to evaluate driver attention of regular road signs in comparison to attention when using a dedicated in-vehicle ITS system, showing the signs at the special display (HUD). [11] During research, a driving simulator and head-mounted Applied Sciences Laboratory (ASL) 501 system were used. The driving simulation dependent variables measured included initial velocity at yellow light onset, velocity at stop-line, velocity at intersection exit, perception response time (PRT), perception time, response time, stopping accuracy, rate of deceleration, and intersection clearance.…”

Section: Eye-tracking In Road Traffic Studiesmentioning

confidence: 99%

Application of Eyetracking Research Techniques Into Road Safety Studies – Theoretical Considerations

Kamiński¹,

Kruszewski²,

Niezgoda³

et al. 2015

Journal of KONES. Powertrain and Transport

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Do in-vehicle advanced signs enhance older and younger drivers’ intersection performance? Driving simulation and eye movement results

Cited by 73 publications

References 27 publications

Effects of Intelligent Advanced Warnings on Drivers Negotiating the Dilemma Zone

Effects of Intelligent Advanced Warnings on Drivers Negotiating the Dilemma Zone

Intersection assistance: A safe solution for older drivers?

Application of Eyetracking Research Techniques Into Road Safety Studies – Theoretical Considerations

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