Research on Airport Taxi Optimization Scheduling based on Artificial Intelligence
Download as PDF
DOI: 10.23977/cii2019.17
Corresponding Author
Ye Zhao
ABSTRACT
With the rapid development of China's transportation industry, aircraft has become one of the important means of transportation for people to travel. Due to the particularity of aircraft, the construction of airport is located in the periphery of the city, so the taxi has become an important public transportation tool to connect the airport and the city. Taxi drivers will be faced with two choices: go to the arrival area and wait in line to take them back to the city, or leave the airport empty and return to the city. Therefore, how to reasonably optimize and schedule the number of cars and passengers to maximize the interests of taxi drivers has become an important issue.
KEYWORDS
TDABC modeling method, Interpolation and fitting, XGBoost algorithm