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1. Problem analysis
Collect relevant data about taxis in a certain domestic airport and the city where it is located, give the airport taxi driver's selection plan, and analyze the rationality of the model and its dependence on related factors.
Already learned: an article to take you through the queuing theory in mathematical modeling (an example of airport taxi optimization problems in 19 years)
Therefore, this article is mainly about its implementation process, and you can leave a comment in the mailbox if the data set needs to be implemented.
2. Data introduction
In response to question 2, we collected the GPS trajectory data of urban taxis from April 18, 2011 to April 26, 2011 (8.5 days in total) in Shenzhen, including the time, location and attribute information of 13,781 taxis (file The total size is 9.37GB). (Data comes from "Analysis of Shenzhen Road Traffic Conditions with Taxi GPS Data" from the Department of Mathematics, Tongji University)
The data includes the data collection time period from 2011.04.18 0:00:01-2011.04.26 11:50:01, and the total number of vehicles is 13,781. It is worth noting that according to the 2012 Shenzhen Statistical Yearbook, the total number of taxis in Shenzhen in 2011 was 14,340, and the data we found accounted for approximately 96.10% of the total number of taxis, which can be approximated as the analyzed data There is basically no difference from the overall. The data includes license plate number (name), collection time point (time), longitude (jd), latitude (wd)