Searching process and results based on the 4-fold cross validation: (a) first search; (b) contour plot corresponding to first search; (c) second search; (d) contour plot corresponding to second search.</p
Crash prediction models are used extensively in highway safety analysis. This paper discusses a rece...
Crash prediction models are used extensively in highway safety analysis. This paper discusses a rece...
Abstract Recent advances in intelligent transportation system allow traffic safety studies to extend...
Comparison of model performances. (a) Predicted value of proposed SSM-SVR model vs. observed value. ...
Conventional traffic crash analyzing methods focus on identifying the relationship between traffic c...
Real-time crash prediction helps identify and prevent the occurrence of traffic crash. For years, va...
Crash prediction models have been very popular in highway safety analyses. However, in highway safet...
The traffic safety on expressways is crucial for the efficient operation of the expressway system, a...
Graphical illustration of the proposed SSM-SVR approach for traffic crash prediction.</p
Real-time crash risk evaluation models will likely play a key role in Active Traffic Management (ATM...
This study adopted a novel methodology—a support vector machine (SVM) with two penalty parameters—fo...
Real-time crash risk evaluation models will likely play a key role in Active Traffic Management (ATM...
Previous real-time crash prediction models have scarcely used data disaggregated by vehicle type suc...
Rollover crash is one of the major types of traffic crashes that induce fatal injuries. It is import...
Traffic crashes account for most of casualties and injuries worldwide, and there has been growing co...
Crash prediction models are used extensively in highway safety analysis. This paper discusses a rece...
Crash prediction models are used extensively in highway safety analysis. This paper discusses a rece...
Abstract Recent advances in intelligent transportation system allow traffic safety studies to extend...
Comparison of model performances. (a) Predicted value of proposed SSM-SVR model vs. observed value. ...
Conventional traffic crash analyzing methods focus on identifying the relationship between traffic c...
Real-time crash prediction helps identify and prevent the occurrence of traffic crash. For years, va...
Crash prediction models have been very popular in highway safety analyses. However, in highway safet...
The traffic safety on expressways is crucial for the efficient operation of the expressway system, a...
Graphical illustration of the proposed SSM-SVR approach for traffic crash prediction.</p
Real-time crash risk evaluation models will likely play a key role in Active Traffic Management (ATM...
This study adopted a novel methodology—a support vector machine (SVM) with two penalty parameters—fo...
Real-time crash risk evaluation models will likely play a key role in Active Traffic Management (ATM...
Previous real-time crash prediction models have scarcely used data disaggregated by vehicle type suc...
Rollover crash is one of the major types of traffic crashes that induce fatal injuries. It is import...
Traffic crashes account for most of casualties and injuries worldwide, and there has been growing co...
Crash prediction models are used extensively in highway safety analysis. This paper discusses a rece...
Crash prediction models are used extensively in highway safety analysis. This paper discusses a rece...
Abstract Recent advances in intelligent transportation system allow traffic safety studies to extend...
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