Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Applications of deep learning in congestion detection, prediction and alleviation: A survey
Detecting, predicting, and alleviating traffic congestion are targeted at improving the level of
service of the transportation network. With increasing access to larger datasets of higher …
service of the transportation network. With increasing access to larger datasets of higher …
The common road safety approaches: A sco** review and thematic analysis
Purpose: Comparison of effective road safety approaches with those of relatively similar
countries can be used to identify possibilities for safety improvement. Since there is no clear …
countries can be used to identify possibilities for safety improvement. Since there is no clear …
Machine learning for road traffic accident improvement and environmental resource management in the transportation sector
Despite the measures put in place in different countries, road traffic fatalities are still
considered one of the leading causes of death worldwide. Thus, the reduction of traffic …
considered one of the leading causes of death worldwide. Thus, the reduction of traffic …
Characterizing the performance of interstate flexible pavements using artificial neural networks and random parameters regression
Past studies developed pavement performance models using data from all or multiple states
across the United States. This study hypothesized that due to variation in agency practices …
across the United States. This study hypothesized that due to variation in agency practices …
[HTML][HTML] A review on neural network techniques for the prediction of road traffic accident severity
The occurrence rate of death and injury due to road traffic accidents is rising increasingly
globally day by day. For several decades, the focus of research has been on getting a …
globally day by day. For several decades, the focus of research has been on getting a …
Pavement roughness prediction using explainable and supervised machine learning technique for long-term performance
Maintaining and rehabilitating pavement in a timely manner is essential for preserving or
improving its condition, with roughness being a critical factor. Accurate prediction of road …
improving its condition, with roughness being a critical factor. Accurate prediction of road …
An alternative method for traffic accident severity prediction: using deep forests algorithm
Traffic safety has always been an important issue in sustainable transportation development,
and the prediction of traffic accident severity remains a crucial challenging issue in the …
and the prediction of traffic accident severity remains a crucial challenging issue in the …
Hybrid approach to incorporate preventive maintenance effectiveness into probabilistic pavement performance models
Various methodologies are being developed to build and improve probabilistic pavement
performance models that have high prediction capabilities. However, the effectiveness of …
performance models that have high prediction capabilities. However, the effectiveness of …
[HTML][HTML] Modeling the accuracy of traffic crash prediction models
Crash forecasting enables safety planners to take appropriate actions before casualty or
loss occurs. Identifying and analyzing the attributes influencing forecasting accuracy is of …
loss occurs. Identifying and analyzing the attributes influencing forecasting accuracy is of …
Forecasting road traffic accident using deep artificial neural network approach in case of Oromia Special Zone
Millions of people are dying, and billions of properties are damaged by road traffic accidents
each year worldwide. In the case of our country Ethiopia, the effect of traffic accidents is even …
each year worldwide. In the case of our country Ethiopia, the effect of traffic accidents is even …