2020Journal of Emerging Technologies and Innovative ResearchRequires access

Study Traffic and Travel Time Prediction using Machine Learning

Anusha Shetty, Iqra Shaikh

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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.

About this research paper

What this paper is about

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.

Why it matters

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Key contribution

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Method / approach

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Main findings

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Applications

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Available 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.

Key concepts: Computer science, Travel time, Time travel, Task (project management), Field (mathematics), Routing (electronic design automation), Traffic congestion, Point (geometry)

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