Experience and direction combined taxi passenger searching route planning method and system, and medium

Abstract

The invention discloses an experience and direction combined taxi passenger searching route planning method and system, and medium, and the method comprises the steps: initializing road network data,and enabling the track data of taxies and POI data to be mapped to different driving directions of a road; extracting candidate passenger carrying areas, determining a recommendation direction according to a direction judgment model, and selecting the recommended passenger carrying areas; according to the taxi track data, the POI data and the road network data, obtaining the relationship among thetrack data, the POI data and the road network data through map matching operation, and calculating the earnings of different driving directions of the road section; and carrying out path planning onthe basis of the recommended passenger carrying area by taking maximization of the passenger searching benefit as an optimization target and combining benefits of different driving directions of the road network. The influence of the driver passenger searching experience and the road passing direction on the route planning result in the taxi passenger searching process is fully considered, so thatthe taxi is well assisted in driving passenger searching, and the income of taxi passenger searching route planning can be effectively improved.

Description

technical field [0001] The invention relates to a taxi-seeking route planning technology, in particular to a taxi-seeking route planning method, system and medium combining experience and directions. Background technique [0002] With the development of mobile Internet and big data technology, taxi trajectory data, as a kind of log data of taxi driving, can be collected more easily and used in taxi route planning. However, in the planning of passenger-seeking routes, researchers rely only on the trajectory data of taxis for taxi-seeking route planning, which cannot accurately model the real situation. On the one hand, in the real scene, the distribution of relevant geographic information in different directions of the road is not the same; on the other hand, different drivers have different experiences in finding passengers. Therefore, how to combine experience (driver's passenger-seeking experience) and direction (road traffic direction) taxi passenger-seeking route planni...

AI Technical Summary

Problems solved by technology

However, in the planning of passenger-seeking routes, researchers only rely on the trajectory data of taxis for taxi-seeking route planning, which cannot accurately model the real situation.

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