Study on the mining based on the improved DBSCAN algorithm in pick-up hotspots areas

摘要

The main business model of taxies called "Roadside Beckon" adopted widely is inefficient. Passengers and drivers are ignorant of the location information of each other. The rise of various types of taxi Apps also have made an effort to solve the problem of "difficult to take a taxi". However, these methods have not fundamentally gotten rid of the taxi status of "passive waiting for passengers". Therefore, this paper proposes a taxi cruise path recommendation method based on pick-up hotspots areas. The method can recommend a cruise path with short distance and high pick-up rate for taxis. As a result, it solves the problem of "passive waiting" and aimless random roaming for guests, balance the relationship between taxis and passengers.