Machine learning models for traffic prediction on arterial roads using traffic features and weather information

HIGHLIGHTS

• What: The main research objective tackled in this research was to determine the prediction models` capabilities, particularly the well-known BiLSTM, in capturing the dynamic traffic behaviour of vehicles on one of the busiest arterial roads in Melbourne. Although there were a few research studies that explored the capability of BiLSTM models for short-term traffic prediction, the majority of those existing studies focused on freeways . This study evaluates model performance using more complex traffic patterns from arterials and provides short-term forecasting up to 60 min into the future. The focus of this research will be . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.