Comparison of model performances. (a) Predicted value of proposed SSM-SVR model vs. observed value. (b) Predicted value of SVR model vs. observed value. (c) Predicted value of MVNB model vs. observed value.</p
This study focuses on developing crash injury severity analysis models for a mountainous freeway sec...
Work zones are a high priority issue in the field of road transportation because of their impacts on...
Efficient and effective road traffic prediction and management techniques are crucial in intelligent...
Conventional traffic crash analyzing methods focus on identifying the relationship between traffic c...
Searching process and results based on the 4-fold cross validation: (a) first search; (b) contour pl...
Graphical illustration of the proposed SSM-SVR approach for traffic crash prediction.</p
Crash prediction models have been very popular in highway safety analyses. However, in highway safet...
Real-time crash risk evaluation models will likely play a key role in Active Traffic Management (ATM...
Real-time crash risk evaluation models will likely play a key role in Active Traffic Management (ATM...
Rollover crash is one of the major types of traffic crashes that induce fatal injuries. It is import...
Real-time crash prediction helps identify and prevent the occurrence of traffic crash. For years, va...
This study adopted a novel methodology—a support vector machine (SVM) with two penalty parameters—fo...
The traffic safety on expressways is crucial for the efficient operation of the expressway system, a...
Previous real-time crash prediction models have scarcely used data disaggregated by vehicle type suc...
This study focuses on developing crash injury severity analysis models for a mountainous freeway sec...
This study focuses on developing crash injury severity analysis models for a mountainous freeway sec...
Work zones are a high priority issue in the field of road transportation because of their impacts on...
Efficient and effective road traffic prediction and management techniques are crucial in intelligent...
Conventional traffic crash analyzing methods focus on identifying the relationship between traffic c...
Searching process and results based on the 4-fold cross validation: (a) first search; (b) contour pl...
Graphical illustration of the proposed SSM-SVR approach for traffic crash prediction.</p
Crash prediction models have been very popular in highway safety analyses. However, in highway safet...
Real-time crash risk evaluation models will likely play a key role in Active Traffic Management (ATM...
Real-time crash risk evaluation models will likely play a key role in Active Traffic Management (ATM...
Rollover crash is one of the major types of traffic crashes that induce fatal injuries. It is import...
Real-time crash prediction helps identify and prevent the occurrence of traffic crash. For years, va...
This study adopted a novel methodology—a support vector machine (SVM) with two penalty parameters—fo...
The traffic safety on expressways is crucial for the efficient operation of the expressway system, a...
Previous real-time crash prediction models have scarcely used data disaggregated by vehicle type suc...
This study focuses on developing crash injury severity analysis models for a mountainous freeway sec...
This study focuses on developing crash injury severity analysis models for a mountainous freeway sec...
Work zones are a high priority issue in the field of road transportation because of their impacts on...
Efficient and effective road traffic prediction and management techniques are crucial in intelligent...