Modeling lane-transgressing behavior of e-bike riders on road sections with marked bike lanes: A survival analysis approach

Nan, Sirui; Li, Yan; Tu, Ran; Li, Tiezhu

doi:10.1080/15389588.2020.1853711

Cited by 9 publications

(2 citation statements)

References 11 publications

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“…Using the HighD dataset of natural driving trajectory, the lane-changing duration survival function characteristics and influencing factors were studied. Nan et al [34] proposed a survival analysis approach to model e-bikers' lane-transgressing behavior, including the Kaplan-Meier curve and the Cox proportional hazards model. Liu et al [35] used a driving simulator to study lanechanging behaviors on the highway.…”

Section: Survival Analysis Application In Transportation Analysismentioning

confidence: 99%

Off-Ramp Vehicle Mandatory Lane-Changing Duration in Small Spacing Section of Tunnel-Interchange Section Based on Survival Analysis

Shang

Lian

Zhao³

et al. 2022

Journal of Advanced Transportation

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Due to topography, geology, and other factors, small spacing sections are common between tunnels and interchange exits. There is mandatory lane-changing behavior for vehicles that need to leave the main line and drive inside the road before leaving the tunnel. Affected by the “white hole” of a tunnel, the lane-changing behavior of off-ramp vehicles differs significantly from that of original roadbed sections. To study the mandatory lane-changing duration (MLCD) of off-ramp vehicles in small spacing sections of the tunnel to interchange in mountainous areas, their time and trajectory data were collected based on a driving simulator. According to the characteristics of the data, the survival analysis method was used to analyze the influence on the MLCD of off-ramp vehicles of the spacing section between the tunnel and interchange, vehicle types, tunnel types, ramp types, highway service level, and whether to set exit advance guide signs in the tunnel and the Cox proportional hazards model of the MLCD was established. The results showed that the spacing of the tunnel interchange, the road service level, and whether to set exit advance guide signs in the tunnel had significant effects on the MLCD of vehicles, while the vehicle, the tunnel, and the ramp types did not. When the spacing section of the tunnel interchange was less than 500 m, the off-ramp vehicle had continuous mandatory lane-changing behavior, and when the distance decreased from 400 m to 300 m, the risk rate of lane changing increased by 5.68 times. Survival function curve estimation provided the 75% quantile of MLCD of off-ramp vehicles under different conditions, which could provide a theoretical reference for setting the minimum distance between a tunnel and interchange exit.

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Section: Survival Analysis Application In Transportation Analysismentioning

confidence: 99%

Off-Ramp Vehicle Mandatory Lane-Changing Duration in Small Spacing Section of Tunnel-Interchange Section Based on Survival Analysis

Shang

Lian

Zhao³

et al. 2022

Journal of Advanced Transportation

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“…While this method ignores the influence of variables. Besides, this model cannot give the risk rate at each time point [49]. Semi-parametric analysis is represented the relationship between influencing variables and survival rate.…”

Section: Survival Analysismentioning

confidence: 99%

Survival analysis of the unsafe behaviors leading to urban expressway crashes

Ning

Bai

2022

PLoS ONE

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A common cause of vehicle crashes on urban expressways lies in the unsafe behaviors of drivers. This study focused on analyzing the influence of various unsafe behaviors on crash duration. Based on actual video image of vehicle crashes, 14 unsafe behaviors were identified for the analysis of crashes on urban expressways. Using the correspondence analysis method, the correlation among unsafe behaviors and collision types was obtained. Nonparametric survival analysis was then presented to obtain the survival rate curves of sideswipe crashes and rear-end crashes. Finally, parametric survival analysis method can get the influence of unsafe behaviors on crash duration. The survival rate of any time was quantified through the reasoning of key unsafe behaviors for different types of crashes. The results show that there were striking differences in the duration among different types of crashes. The unsafe behaviors had a significant impact on duration for different types of crashes. This study focused on the duration under the influence of unsafe behaviors before the crash, and the results provide valuable information to prevent crashes, which can improve traffic safety.

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Accustomed or Regulated: Influencing factors of two-wheeler riders’ illegal Lane-Transgressing behavior when overtaking

Qian,

Shi

2024

Accident Analysis & Prevention

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Modeling lane-transgressing behavior of e-bike riders on road sections with marked bike lanes: A survival analysis approach

Cited by 9 publications

References 11 publications

Off-Ramp Vehicle Mandatory Lane-Changing Duration in Small Spacing Section of Tunnel-Interchange Section Based on Survival Analysis

Off-Ramp Vehicle Mandatory Lane-Changing Duration in Small Spacing Section of Tunnel-Interchange Section Based on Survival Analysis

Survival analysis of the unsafe behaviors leading to urban expressway crashes

Accustomed or Regulated: Influencing factors of two-wheeler riders’ illegal Lane-Transgressing behavior when overtaking

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