[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 …
Application of statistical models: parameters estimation of road accident in Bangladesh
ME Shaik, QS Hossain - SN Computer Science, 2020 - Springer
Road traffic accident is the most unwanted situation and one of the significant reasons for
death and injuries of people of all ages worldwide. Statistical analysis of highway-related …
death and injuries of people of all ages worldwide. Statistical analysis of highway-related …
Conceptual Framework for the Application of the ANN Model in Accident Prediction: A Study of Central Kolkata
Conceptual framework for accident prediction is an essential toolkit to curb accidents and
fatalities globally. Different statistical methods and soft computing techniques are used to …
fatalities globally. Different statistical methods and soft computing techniques are used to …
An Artificial Neural Network Model for Short Term Traffic Flow Prediction in Two Lane Highway in Khulna Metropolitan City, Bangladesh
ME Shaik, M Islam, MR Kobir, K Furkan - 2023 - researchsquare.com
Short Term traffic flow prediction is one of the most major topics of research in traffic
engineering field. It's incredibly useful in the design of a more modern transport network that …
engineering field. It's incredibly useful in the design of a more modern transport network that …
[PDF][PDF] Asian Transport Studies
ME Shaik, MM Islam, QS Hossain - researchgate.net
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 …