Data Analysis Of Taxi Software Order Based On Combination Algorithm

With the development of network technology,the Internet is becoming more and more popular in people’s daily life.the representative of the shared economy in the past two years,the Internet about car service,is based on the development of the Internet.The rise of.People enjoy the convenience of the Internet on the Internet at the same time,also left a large number of large data with high added value,Big data era officially came to our side.To take a taxi on DiDi,for example,every day tens of thousands of users through its proprietary APP completed tens of millions of transactions,in these transactions,we can find out the important information in the field of urban transportation.One of the most significant problem is the supply and demand of urban traffic,the dominant expression for the user to send a taxi software orders,there will be a timely manner to receive orders.The main idea of this paper is to study the order of three consecutive weeks of Shanghai city by using the method of machine learning.The starting point of this article is to select the number of orders that are not expected to be issued in a given area in a given period of time.The statistical method chosen in this paper is random forest,which was put forward by Breiman in 2001.It is a very popular data mining method at present.At the same time through the taxi software prediction in fixed time fixed region gap,provide some practical ideas for the development of city traffic construction,promote the healthy development of the city traffic construction,continue to let people travel more convenient!...