Analyze NYC Transportation to Mitigate Speeding and Explore New Business Models Using Machine Learning

Many cities have been releasing their traffic data for companies to do the data analytics for business and other purposes. In this paper, we propose different classification models to analyze the places that most of vehicles speed and the places that most of vehicles visited in specific time range. The result of it can be helpful for the government allocating the police in the correct timing and places to catch vehicles speeding. In addition, by knowing the result of the major places that most of vehicles visited, it's helpful for gas companies to decide where they should build gas stations.