Cluster Analysis of Freeway Tunnel Length Based on Naturalistic Driving Safety and Comfort

Ma, Shu‐Yun; Hu, Jinglu; Ma, Ershun; Weicong, Li; Wang, Ronghua

doi:10.3390/su151511914

Cited by 5 publications

(4 citation statements)

References 38 publications

(45 reference statements)

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“…In the process of driving in the UI, in addition to the type, length, and position of the marking line, the setting of the marking line influences the driver's safety and comfort [36,37]. To explore the influence of traffic safety settings, we investigated the important control conditions that have a good effect on traffic safety facilities.…”

Section: Data Mining Methodsmentioning

confidence: 99%

Vehicle Driving Safety of Underground Interchanges Using a Driving Simulator and Data Mining Analysis

Liu,

Yang,

Wang

et al. 2024

Infrastructures

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In the process of driving in an underground interchange, drivers are faced with many challenges, such as being in a closed space, visual changes alternating between light and dark conditions, complex road conditions in the confluence section, and dense signage, which directly affect the safety and comfort of drivers in an underground interchange. Thus, driving simulation, building information modeling (BIM), and data mining were used to analyze the impact of underground interchange safety facilities on driving safety and comfort. Acceleration disturbance and steering wheel comfort loss values were used to assist the comfort analysis. The CART algorithm, classification decision trees, and neural networks were used for data mining, which uses a dichotomous recursive partitioning technique where multiple layers of neurons are superimposed to fit and replace very complex nonlinear mapping relationships. Ten different scenarios were designed for comparison. Multiple linear regression combined with ANOVA was used to calculate the significance of the control variables for each scenario on the evaluation index. The results show that appropriately reducing the length of the deceleration section can improve driving comfort, setting reasonable reminder signs at the merge junction can improve driving safety, and an appropriate wall color can reduce speed oscillation. This study indicates that the placement of traffic safety facilities significantly influences the safety and comfort of driving in underground interchanges. This study may provide support for the optimization of the design of underground interchange construction and internal traffic safety facilities.

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Section: Data Mining Methodsmentioning

confidence: 99%

Vehicle Driving Safety of Underground Interchanges Using a Driving Simulator and Data Mining Analysis

Liu,

Yang,

Wang

et al. 2024

Infrastructures

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“…Finally, based on these similarity parameters, it classifies these data points and determines the distribution of the driver's gaze areas. The advantage of clustering analysis is its ability to effectively mitigate the impact of individual differences among drivers on the partitioning of gaze areas, thereby improving the accuracy of the results [19,20].…”

Section: Gaze Area Divisionmentioning

confidence: 99%

Impact of Road Central Greening Configuration on Driver Eye Movements: A Study Based on Real Vehicle Experiments

Zhao,

Shen,

et al. 2023

Sustainability

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Safe driving depends on drivers’ ability to rapidly and accurately process information in varying traffic conditions. The presence of central green landscapes on roads is a key factor in this context. However, there is a gap in current research, which tends to focus on qualitative aspects of landscape design while lacking quantitative data-driven analyses. In this study, we aim to address this gap by investigating the impact of road central greening configuration on the eye movements of young novice drivers, a population particularly sensitive to external environmental changes. Specifically, we explore the influence of central green landscapes on four visual parameters: driver gaze, saccade, blinking, and pupil behavior. Through real vehicle experiments conducted on different road sections, we collected visual feature data to comprehensively analyze the patterns of driver eye movements. Our findings reveal that the introduction of central green landscapes can exert cognitive pressure on drivers, leading to specific alterations in their visual parameters. These changes include dispersed gaze points, reduced effective gaze durations, increased gaze frequencies, extended saccade durations and angles, heightened blink durations and frequencies, and reduced pupil area. By shedding light on the intricate interplay between road central greenery and driver behavior, this study provides valuable insights for optimizing landscape design in transportation planning and enhancing road safety considerations.

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“…Furthermore, when operating their vehicles, they must accelerate, decelerate, and follow and change lanes in order to cross through the work zone quickly and safely. The physiological and psychological effects of taking in this information and performing operations during this period are known as the driving workload [32,33]. In the work zone, driver factors, vehicle characteristics, road and traffic conditions, and environmental conditions will lead to varying degrees of driver stimulation, which is reflected in real time as the driving workload.…”

Section: Driving Workloadmentioning

confidence: 99%

Impact of Transition Areas on Driving Workload and Driving Behavior in Work Zones: A Naturalistic Driving Study

Ma,

Hu,

Wang

2023

Applied Sciences

Self Cite

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Significant changes in road and traffic conditions in transition areas are key to traffic organization and guaranteeing safety in freeway work zones. Currently, most of the related studies on transition area use theoretical calculations, traffic and driving simulations, and the impact of different transition area conditions on drivers’ psychophysiological indicators and driving behavior are unclear. In this paper, the gap acceptance theory was used to establish a calculation method of the transition area length, and the transition area length was calculated under different closed lane widths, speed limits, and traffic volumes. Based on the results of our theoretical calculations, naturalistic driving experiments were conducted with 48 participants in 12 scenarios involving 3 lane closure forms and 4 transition area lengths, and the relationship of transition area with driving workload and vehicle speed was determined. A transition area that was too short or too long increased traffic safety risks. The overall experimental results were consistent with the theoretical calculation length, and the theoretical calculation model was reliable. Compared to unaffected straight-through vehicles, merging vehicles and vehicles affected by merging have lower speeds, higher driving workloads, and increased traffic safety risks. An increase in the number of lanes in the transition area will result in increased driving workloads and vehicle speeds. Based on the changes in vehicle deceleration points and driving workloads, the affected area of the transition area was measured. When the speed limit was 60 km/h, the upstream affected areas of the transition areas with four, three, and two lanes were 1000 m, 850 m, and 700 m, and the downstream affected areas were 450 m, 400 m, and 350 m. These research results can provide a reference for improving traffic organization and guaranteeing safety in freeway work zones.

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Cluster Analysis of Freeway Tunnel Length Based on Naturalistic Driving Safety and Comfort

Cited by 5 publications

References 38 publications

Vehicle Driving Safety of Underground Interchanges Using a Driving Simulator and Data Mining Analysis

Vehicle Driving Safety of Underground Interchanges Using a Driving Simulator and Data Mining Analysis

Impact of Road Central Greening Configuration on Driver Eye Movements: A Study Based on Real Vehicle Experiments

Impact of Transition Areas on Driving Workload and Driving Behavior in Work Zones: A Naturalistic Driving Study

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