A descriptive analysis of light vehicle–heavy vehicle interactions using in situ driving data

Hanowski, Richard J.; Hickman, J S; Wierwille, Walter W.; Keisler, Aysha

doi:10.1016/j.aap.2006.06.016

Cited by 40 publications

(12 citation statements)

References 3 publications

(2 reference statements)

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“…Acierno et al, 2004). Data on the much more serious incompatibility between cars and trucks is scarcely reported (Hanowski et al, 2007;Lyman and Braver, 2003). According to Lyman and Braver (2003), 4000 passenger car occupants are killed every year in large truck collisions in the U.S., and the trend is slightly increasing.…”

Section: Introductionmentioning

confidence: 96%

Passenger car collision fatalities – with special emphasis on collisions with heavy vehicles

Björnstig

Björnstig²,

Eriksson

2008

Accident Analysis & Prevention

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Section: Introductionmentioning

confidence: 96%

Passenger car collision fatalities – with special emphasis on collisions with heavy vehicles

Björnstig

Björnstig²,

Eriksson

2008

Accident Analysis & Prevention

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“…In particular an increased risk has been reported when driving during the night or early morning hours [2][3][4], for young [5,6] and for professional [7][8][9] drivers, shift workers driving home after a night shift [10,11], and for people with untreated sleep disorders [7][8][9]12]. In general, driving when sleepy impairs driving performance causing deteriorated lateral (for example keeping the position in the lane) and longitudinal control (for example keeping the speed in a stable state) of the vehicle.…”

Section: Introductionmentioning

confidence: 99%

The severity of driver fatigue in terms of line crossing: a pilot study comparing day- and night time driving in simulator

Anund

Fors

Ahlström

2017

Eur. Transp. Res. Rev.

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Introduction The overall aim of this study is to compare daytime driving with night-time driving looking at line crossings during self-reported sleepiness and long blinks. The hypothesis is that high levels of self-reported sleepiness (KSS 9) and long blink duration (>0.15 s) will be less associated with critical events during the day-time compared to night-time. Method The study is based on data from a driving simulator experiment with 16 participants driving 150 km on a typical Swedish motorway scenario twice: once during daytime and once during night time. In total data from 6 segments of 4 km each equally distributed along the drive was averaged and included in the analysis. A Mixed Model Anova was used to test the effects on KSS, Blink Duration and Line Crossings with factors for Session (Day/Night) and Road segment (1-6), and participant as random. In addition, a logistic regression was used to identify when there is a risk for line crossings. Finally, the proportion of line crossings in relation to high KSS values and long blink durations was tested with Fisher's exact test. Results The results show no differences in the percentage of Line Crossings to the left during high levels of Karolinska Sleepiness Scale during daytime (33%) compare to night-time (40%). However, there was a significant difference between day and night time line crossings while the driver had long duration blinks (4% during daytime and 35% during night-time). Despite these results the most promising predictor of line crossings in each segment of 4 km/h was KSS with an Odds Ratio of 5.4 with a reference value at Karolinska Sleepiness Scale level 5. Conclusion In conclusion, the results do not support the hypothesis that high levels of KSS will result in more frequent line crossings at night time compared to day time. However, the result supports the hypothesis that long blink durations are associated with more line crossings when they appear during night time than during daytime.

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“…An analysis of video images taken from long-range trailer trucks that drove in southern parts of the United States and from delivery tracks in the State of Virginia attributed the cause of 80 percent of the dangerous situations to the twowheel vehicle. Frequent entering and passing behavior with insufficient headway are detected from the video images (Hanowski, et al, 2007). However, the study also observed cases with causes on the side of the road; Incompetent operation of large-sized cars, such as approaching with insufficient headway distance between cars, sudden backward movements, the swelling curve passage and slow braking operation.…”

Section: Cause Of the Accidents With Four Or More Wheelersmentioning

confidence: 84%

“…It is also difficult to determine whether serious accidents occur at a higher rate during the night or whether a higher fatality rate correlates with a longer time span needed for rescue transportation at night, when we observe a higher frequency of fatal accidents during the night than during day time. It is desirable to analyze the occurrence of the dangerous phenomenon through continued probe video images (Hanowski, et al, 2007).…”

Section: Cause Of the Accidents With Four Or More Wheelersmentioning

confidence: 99%

Research Review about Moped Accidents and the Necessity of Time Dimensional Management in University Campus Traffic

Fonseca

Okumura

2010

Traffic and Transportation Studies 2010

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This paper discusses possible countermeasures for traffic accidents involving university students using mopeds, based on recent research findings. The first part of this paper is a review of research about traffic accidents involving mopeds. Second, we show the importance of decreasing the encounter of mopeds with large-sized vehicles in order to decrease the number of accidents, in particular the number of fatalities caused by these accidents, based on a macroscopic statistical analysis of Japanese traffic accidents classified by vehicle types. In the last part of our paper, we argue for the necessity of a time dimensional transport demand management on campus as one possible and effective way to reduce encounters between mopeds and heavy vehicles.

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A descriptive analysis of light vehicle–heavy vehicle interactions using in situ driving data

Cited by 40 publications

References 3 publications

Passenger car collision fatalities – with special emphasis on collisions with heavy vehicles

Passenger car collision fatalities – with special emphasis on collisions with heavy vehicles

The severity of driver fatigue in terms of line crossing: a pilot study comparing day- and night time driving in simulator

Research Review about Moped Accidents and the Necessity of Time Dimensional Management in University Campus Traffic

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