Examining Young Novice Driver Headway Choice in a Simulated Car Following Task

Mitsopoulos-Rubens, Eve; Triggs, Thomas J; Regan, Michael

doi:10.17077/drivingassessment.1292

Cited by 4 publications

(4 citation statements)

References 10 publications

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“…Together these results suggest a poorer level of vehicle control compared to the more experienced driver group, although while performing the car-following and sign recognition tasks the inexperienced drivers had faster RT and smaller variability in headway. As found in previous research, inexperienced drivers maintained smaller headways (Mitsopoulos-Rubens et al, 2007;Taieb-Maimon and Shinar, 2001). However, the headways maintained in the present study were larger than reported in other studies using our simulator (Mitsopoulos-Rubens et al, 2007).…”

Section: Discussionsupporting

confidence: 74%

“…As found in previous research, inexperienced drivers maintained smaller headways (Mitsopoulos-Rubens et al, 2007;Taieb-Maimon and Shinar, 2001). However, the headways maintained in the present study were larger than reported in other studies using our simulator (Mitsopoulos-Rubens et al, 2007). The mean and standard deviation of headway maintained by the experienced drivers increased further in the high cannabis condition, perhaps suggesting that experienced drivers compensate for the extra demand of responding to signs under the influence of cannabis by driving more conservatively, although this remains unclear.…”

Section: Discussionsupporting

confidence: 68%

See 1 more Smart Citation

The effects of cannabis and alcohol on simulated arterial driving: Influences of driving experience and task demand

Lenné

Dietze

Triggs

et al. 2010

Accident Analysis & Prevention

188

166

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Section: Discussionsupporting

confidence: 74%

Section: Discussionsupporting

confidence: 68%

The effects of cannabis and alcohol on simulated arterial driving: Influences of driving experience and task demand

Lenné

Dietze

Triggs

et al. 2010

Accident Analysis & Prevention

188

166

View full text Add to dashboard Cite

“…Most teen driving assessments used in research (e.g., in-vehicle data recorders, event-based video monitoring, self-report surveys, simulators, closed tracks) are geared toward newly licensed teens and are thus ill-suited to characterize skill and judgment deficits or crash risk before licensure (22)(23)(24)(25)(26)(27)(28). These assessments have, however, enhanced our understanding of specific driving deficiencies of newly licensed teens that may contribute to elevated crash risk.…”

mentioning

confidence: 99%

Development of On-Road Driving Assessment for Learner Teen Drivers

Mirman

Curry

Schultheis

et al. 2014

Transportation Research Record

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Teen drivers complete the learner permit period with difficulty in executing a variety of driving behaviors. The ability to identify these skill deficits during the learner permit phase would significantly advance teen driver research. The objective of this study was to develop a safe, develop-mentally appropriate, and challenging assessment of teen drivers during the learner permit phase that can assess a wide range of specific driving tasks and identify safety-relevant errors (classified as critical errors). The On-Road Driving Assessment for Learner Teen Drivers (tODA) was developed and tested for feasibility of administration by professional driving evaluators. Two assessment routes were developed and administered to 28 teen permit holders at approximately 12 and 24 weeks into their permit holding period. Forty licensed adult drivers drove the routes to begin to establish a criterion standard for route Performance; adult participants were required to meet safety and Performance standards to be included in the analyses. Three teen participants (10.7%) had the early tODA terminated for safety concerns; one of these participants (3.5%) also had the late tODA terminated for safety concerns. In addition, two teen participants (7.1%) did not complete the highway module of the late tODA secondary to teen or parental request. No adults were terminated, and none skipped the highway module. Preliminary data suggest that the tODA expands the repertoire of driving assessments by providing a means to safely and systematically assess drivers with varying levels of expertise in the context of practical evaluations of driver Performance as well as for research purposes.

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“…No driving simulator findings have been reported, however, on the assessment of rear-end collision risk under different traffic conditions or given diverse roadway configurations. A great deal of research with the simulators has been carried out, however, to study car-following performance with respect to the effect on it of such factors as fog (8), alcohol and distraction (9), vehicle advance warning devices (10), and young novice drivers (11). The amount of such research points to the potential that driving simulators have as aids in the study of the car-following maneuver.…”

mentioning

confidence: 99%

Combined Effect of Traffic and Geometrics on Rear-End Collision Risk

Bella

D'Agostini

2010

Transportation Research Record

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This paper presents the results of a laboratory experiment that sought to analyze rear-end collision risk under various traffic conditions and given various road geometric configurations. The CRISS (Inter-University Research Center for Road Safety) interactive fixed-base driving simulator was used. An 8–km, two-lane, rural road that incorporated 15 tangents and curves was designed and implemented in the driving simulator. Four distinct traffic conditions were simulated, and 32 drivers drove in four traffic scenarios. The differences in speed and position between each driver's vehicle and other vehicles on the road were collected to calculate two safety indicators, which the scientific literature has suggested to evaluate rear-end collision risk on the basis of the time-to-collision (TTC) notion. The maximum values of these indicators were given for an average traffic-flow condition, which is therefore the most critical condition for rear-end collision risk. In scenarios that entailed lower traffic volumes, significant models of TTC-based indicators were found for tangents with lengths that ranged from 400 m to 1,000 m. The independent significant variables were volume-to-capacity ratio, length of the tangent, and length of the curve approaching the tangent. In traffic scenarios characterized by higher traffic volumes, no significant models were found for any kind of geometric element. This outcome seems to prove that the influence of the geometric features on the rear-end collision risk tends to become negligible whenever the volume-to-capacity ratio reaches high levels. In these conditions driver behavior is exclusively affected by interactions among vehicles.

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Examining Young Novice Driver Headway Choice in a Simulated Car Following Task

Cited by 4 publications

References 10 publications

The effects of cannabis and alcohol on simulated arterial driving: Influences of driving experience and task demand

The effects of cannabis and alcohol on simulated arterial driving: Influences of driving experience and task demand

Development of On-Road Driving Assessment for Learner Teen Drivers

Combined Effect of Traffic and Geometrics on Rear-End Collision Risk

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