Study Traffic and Travel Time Prediction using Machine Learning
Anusha Shetty, Iqra Shaikh
Abstract
Anusha Shetty, Iqra Shaikh
Abstract
This study has been undertaken to investigate the determinants of time taken to travel from one point to another using machine learning. Travel time prediction has important applicationswithin the field of intelligent transportation, such as vehicle Routing, congestion and traffic management. A challenging task in travel time prediction is obtaining data that is not readily available, as a clear majority of links in roads network are not equipped with traffic sensors.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This study has been undertaken to investigate the determinants of time taken to travel from one point to another using machine learning. Travel time prediction has important applicationswithin the field of intelligent transportation, such as vehicle Routing, congestion and traffic management. A challenging task in travel time prediction is obtaining data that is not readily available, as a clear majority of links in roads network are not equipped with traffic sensors.
Key concepts: Computer science, Travel time, Time travel, Task (project management), Field (mathematics), Routing (electronic design automation), Traffic congestion, Point (geometry)