Future prediction is a fascinating topic for human endeavor and is identified as a critical tool in transportation management. Understanding an entire transportation network is more difficult than transportation on a single road. The main purpose of this effort is to provide a superior route with high safety level and support traffic managers in efficiently managing road network
Traffic safety has always been an important issue in sustainable transportation development, and the...
Statistics affirm that almost half of deaths in traffic accidents were vulnerable road users, such a...
Background. This research centers on tackling the serious global problem of trafficaccidents. With m...
This study investigates the power of deep learning in predicting the severity of injuries when accid...
Traffic accidents on highways are a leading cause of death despite the development of traffic safety...
In this paper, a deep learning model using a Recurrent Neural Network (RNN) was developed and employ...
In this paper, a deep learning model using a Recurrent Neural Network (RNN) was developed and employ...
A better understanding of circumstances contributing to the severity outcome of traffic crashes is a...
Machine-learning technology powers many aspects of modern society. Compared to the conventional mach...
The number of daily accidents due to road conditions, vehicle speed, weather conditions, e...
Abstract —Road accidents are an inevitable part of everyday life. In most daily news reports, there ...
Traffic accidents are inevitable events that occur unexpectedly and unintentionally. Therefore, anal...
Nearly 5,000 people are killed and more than 418,000 are injured in weather-related traffic incident...
Motor vehicle crashes are one of our nation\u27s most serious social, economic and health issues. Th...
The definitive publication is available at Elsevier via http://dx.doi.org/10.1016/j.ijtst.2017.07.00...
Traffic safety has always been an important issue in sustainable transportation development, and the...
Statistics affirm that almost half of deaths in traffic accidents were vulnerable road users, such a...
Background. This research centers on tackling the serious global problem of trafficaccidents. With m...
This study investigates the power of deep learning in predicting the severity of injuries when accid...
Traffic accidents on highways are a leading cause of death despite the development of traffic safety...
In this paper, a deep learning model using a Recurrent Neural Network (RNN) was developed and employ...
In this paper, a deep learning model using a Recurrent Neural Network (RNN) was developed and employ...
A better understanding of circumstances contributing to the severity outcome of traffic crashes is a...
Machine-learning technology powers many aspects of modern society. Compared to the conventional mach...
The number of daily accidents due to road conditions, vehicle speed, weather conditions, e...
Abstract —Road accidents are an inevitable part of everyday life. In most daily news reports, there ...
Traffic accidents are inevitable events that occur unexpectedly and unintentionally. Therefore, anal...
Nearly 5,000 people are killed and more than 418,000 are injured in weather-related traffic incident...
Motor vehicle crashes are one of our nation\u27s most serious social, economic and health issues. Th...
The definitive publication is available at Elsevier via http://dx.doi.org/10.1016/j.ijtst.2017.07.00...
Traffic safety has always been an important issue in sustainable transportation development, and the...
Statistics affirm that almost half of deaths in traffic accidents were vulnerable road users, such a...
Background. This research centers on tackling the serious global problem of trafficaccidents. With m...