Evaluation of Data Needs, Crash Surrogates, and Analysis Methods to Address Lane Departure Research Questions Using Naturalistic Driving Study Data

Hallmark, Shauna; Hsu, Yu-Yi; Boyle, Linda; Carriquiry, Alicia L.; Tian, Ye; Mudgal, Abhisek

doi:10.17226/22848

Cited by 4 publications

(1 citation statement)

References 36 publications

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“…Continuous operating speed profiles are good measures of the general interaction between drivers and the roadway design (8). Lane departure event, identified as extremely large lateral lane departures, is another critical safety surrogate, which has been used as a predictive variable in many studies of single vehicle run-off-road (ROR) crashes (16,42,49). Torbic et al, for instance, found that approximately 76% of curve-related fatal crashes were single-vehicle ROR crashes (50).…”

Section: Indices Adopted In Driving Simulator Application On Roadway ...mentioning

confidence: 99%

Sample Size Study of Driving Simulator Experiment for Freeway Design Safety Evaluations

Wang

Liu

Cai

et al. 2023

Transportation Research Record: Journal of the Transportation R

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Driving Simulator, a powerful simulation tool, has already been used in safety evaluation of roadway geometric design during the pre-construction design stage. Conventional ways of estimating proper sample size include the empirical method, the resource equation, power analysis, and the Bayesian method. However, significant boundaries and prior distributions of operational indices are hard to identify in simulator studies, which makes it difficult to use conventional ways in choosing the acceptable sample size. This study proposes an empirical method to infer proper sample size. The Tongji University eight-degree-of-freedom driving simulator was utilized to collect continuous driving behavior data from a simulated mountainous freeway. Vehicle speed and lane departure events were selected as the indices to measure the influence of geometric design features on operational efficiency and safety. A mixed linear model and a mixed logistic regression model were used to assess the relationships between geometric design features and vehicle speed and lane departure. Random sampling was used to choose 10 samples of 5 to 50 drivers from a total of 55 drivers. Acceptable sample size was determined based on the parameter coefficient convergence elbow points of the mean squared error (MSE) curves of significant variables. The clear elbow points of the MSE curves indicate that 30 is an acceptable sample size.

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Section: Indices Adopted In Driving Simulator Application On Roadway ...mentioning

confidence: 99%

Sample Size Study of Driving Simulator Experiment for Freeway Design Safety Evaluations

Wang

Liu

Cai

et al. 2023

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

Roadway Measurement System Evaluation

Hunt¹,

Vandervalk²,

Snyder³

2011

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Development of rural curve driving models using lateral placement and prediction of lane departures using the SHRP 2 naturalistic driving data

Oneyear

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Evaluation of Data Needs, Crash Surrogates, and Analysis Methods to Address Lane Departure Research Questions Using Naturalistic Driving Study Data

Cited by 4 publications

References 36 publications

Sample Size Study of Driving Simulator Experiment for Freeway Design Safety Evaluations

Sample Size Study of Driving Simulator Experiment for Freeway Design Safety Evaluations

Roadway Measurement System Evaluation

Development of rural curve driving models using lateral placement and prediction of lane departures using the SHRP 2 naturalistic driving data

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