Travel route recommendation method based on mixed travel mode

Abstract

The invention discloses a travel route recommendation method based on a mixed travel mode. Firstly, according to historical travel data of taxi and shared bicycle systems, offline training is carried out to obtain a time and station state prediction model; then, for an online request of a user, a mixed travel mode network is constructed according to the walking willingness and the riding willingness of the user; meanwhile, a travel time comparison algorithm is designed, the fastest route recommended to the user and the corresponding travel mode are obtained by combining the prediction model obtained in advance by training into the mixed travel mode network; and finally, the credibility of the recommended route is estimated according to the evaluation standard based on travel time experience risks. Compared with an existing method, the method has the advantages that the adverse effect of traffic congestion encountered by a riding user at a starting point or a destination on the travel time can be relieved, the fastest moving route and the corresponding travel mode are recommended to the user, and credibility evaluation of the recommended route is given while giving a recommendation result.

Description

technical field [0001] The invention belongs to the technical field of travel route planning, and in particular relates to the design of a travel route recommendation method based on mixed traffic modes. Background technique [0002] In recent years, the development and popularization of GPS positioning systems have made it possible to plan travel routes for users in real time. It is undeniable that travel route recommendation has become an indispensable part of people's daily travel. Travel route recommendation is a very important and challenging problem for users to travel, especially when urban traffic enters the peak hours of commuting and commuting traffic. If the travel time between road segments can be known in advance, traffic congestion can be better avoided Road sections, in order to achieve the effect of reducing travel time and relieving urban traffic pressure. [0003] Due to the ability to meet users’ travel needs on demand and the popularity of online booking...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing taxi-based travel route recommendation technology does not consider the traffic congestion encountered at the beginning or end of the trip, the recommendation result is not accurate, and the reliability of the recommendation is not given. A travel route recommendation method based on mixed traffic modes. Based on the user's current geographic location and time information, it recommends the travel route and the corresponding transportation mode that best meet the user's wishes, and gives the recommendation credibility evaluation

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