Examining the safety of trucks under crosswind at bridge-tunnel section: A driving simulator study

Chen, Feng; Peng, Haorong; Ma, Xiaoxiang; Liang, Jieyu; Hao, Wei; Pan, Xiaodong

doi:10.1016/j.tust.2019.103034

Cited by 72 publications

(60 citation statements)

References 38 publications

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“…to analyze the relation between the factors [21]. Di erence signi cance analysis, including one-way ANOVA [32,33] and test [34] is used to analyze the di erences between di erent dimensions of factors, and disaggregated method is mainly used to analyze the relationship between pedestrian crossing modes and in uencing factors [35]. However, part of the research establishes structural equation models to study decision-making of pedestrians from the psychological perspective [38].…”

Section: Are the Main Regression Analysis Methods Used To Analyze Relmentioning

confidence: 99%

Analysis on Illegal Crossing Behavior of Pedestrians at Signalized Intersections Based on Bayesian Network

Zhang

2020

Journal of Advanced Transportation

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Pedestrians do not always comply with the crossing rules of when and/or where to cross the road at signalized intersections. This risky behavior tends to undermine greatly the effectiveness of safety countermeasures at such locations. Thus, it is very important to understand illegal behavior to develop more effective and targeting measures. In order to address the problem, this paper aimed to analyze characteristics of illegal crossings and their impact on behavior choice. Firstly, illegal crossing behaviors at signalized intersections were classified into two categories, including “crossing at a red light” and “crossing outside of a crosswalk.” Secondly, two sets of data were collected to understand the behaviors. One set of data was collected from video-based observation conducted at 3 signalized intersections in Guangzhou, China, capturing 3334 valid illegal crossing cases in total. Another set of data, from a questionnaire survey conducted online, resulted in 275 valid responses. Finally, presentational characteristics of illegal crossings at signalized intersection were analyzed and two Bayesian network-based behavior models were developed to investigate the characteristics and their impacts on the two types of illegal crossing behaviors, “crossing at a red light” and “crossing outside of a crosswalk,” respectively. Findings reveal that, (i) illegal crossings occur at various types of signalized intersections, with a higher probability for “crossing outside of a crosswalk” compared to “crossing at a red light;” (ii) Arc routing crossing has the highest probability to occur at signalized intersections compared to other types of out-side-crosswalk crossings. (iii) The location of origin and destination of a pedestrian has a significant effect on crossing outside of a crosswalk, the location of origin and destination of “one is inside of a crosswalk and another is outside of a crosswalk” has a highest proportion. These findings provide better understanding of illegal crossings and their impact factors so that the effectiveness of management and control of pedestrians at signalized intersections can be improved.

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Section: Are the Main Regression Analysis Methods Used To Analyze Relmentioning

confidence: 99%

Analysis on Illegal Crossing Behavior of Pedestrians at Signalized Intersections Based on Bayesian Network

Zhang

2020

Journal of Advanced Transportation

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“…We employed One-way ANOVAs with repeated-measures and Tukey's HSD tests to investigate the influence on TTC and ART for driving safety [48] (except for the brake response time). Table 1 shows the means and standard deviations of the dependent variables.…”

Section: Plos Onementioning

confidence: 99%

Effects of driver compensatory behaviour on risks of critical pedestrian collisions under simulated visual field defects

Lee

Itoh

2020

PLoS ONE

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Compensatory behaviour is regarded as a helpful strategy to mediate drivers' deteriorated hazard perception ability due to visual field defects. However, helpfulness of compensatory behaviour for drivers with advanced visual field defects has largely unexplored. This study aims to clarify the effectiveness and limitation of compensatory head movements in critical situations where included pedestrians stepping off a sidewalk under the simulation of advanced visual defects. 18 healthy-sighted drivers participated the data collection that was conducted in a driving simulator under three driving conditions: (1) without visual impairment, (2) with visual impairment and not performing active compensation, and (3) with visual impairment but performing active compensation. The result showed that active compensation led quick accelerator and brake response times, reducing the risk and number of pedestrian collisions. The active compensation led a decrease in the number of nonresponses to hazardous pedestrians compared to while driving not performing compensation. However, the compensation could not reduce the number of pedestrian collisions to those of healthy-sighted drivers. Compensatory viewing behaviour contributed to improved driving performance as well as has limits to lead driving performance like healthy-sighted drivers. Developing driver assistance systems and practical compensatory strategies concerning the degrees of impairment and traffic conditions may provide opportunities to improve driving safety deteriorated hazard perception for visually impaired drivers.

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“…Some researchers used FMRI and FNIRS to collect data on the driver's brain physiological activity. rough driving experiments, the researchers selected signi cant physiological indicators for evaluating brain mental load [1][2][3][4]. Based on the physiological indicators and Human Factors Engineering, studies have considered changes in heart rate variability power spectral density.…”

Section: Related Workmentioning

confidence: 99%

Physiological Characteristics and Nonparametric Test for Master-Slave Driving Task’s Mental Workload Evaluation in Mountain Area Highway at Night

Wang

Liu

Feng

2019

Journal of Advanced Transportation

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With the rapid development of advanced mobile intelligent terminals, driving tasks are diverse, and new tra c safety problems occur. We propose a new research on physiological characteristics and nonparametric tests for the master-slave driving task, especially for evaluation of drivers' mental workload in mountain area highway in nighttime scenario. First, we establish the experimental platform based driving simulator and design the master-slave driving task. Second, based on the physiological data and subjective evaluation for mental workload, we use statistical methods to composite the physical changes evolution analysis in a driving simulator. Finally, we nished nonparametric test of the drivers' psychological load and road test. e results show that in compassion with the daytime scenario, drivers should pay much e ort to driving skills and risk identi cation in the nighttime scenario. us, in the same driving condition, drivers should bear the higher level of mental workload, and it has been subjected to even greater pressures and intensity of emotions.

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Examining the safety of trucks under crosswind at bridge-tunnel section: A driving simulator study

Cited by 72 publications

References 38 publications

Analysis on Illegal Crossing Behavior of Pedestrians at Signalized Intersections Based on Bayesian Network

Analysis on Illegal Crossing Behavior of Pedestrians at Signalized Intersections Based on Bayesian Network

Effects of driver compensatory behaviour on risks of critical pedestrian collisions under simulated visual field defects

Physiological Characteristics and Nonparametric Test for Master-Slave Driving Task’s Mental Workload Evaluation in Mountain Area Highway at Night

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