Travel planning method and system based on traffic flow prediction

Abstract

The invention provides a travel planning method and a travel planning system based on traffic flow prediction. The method comprises: determine the planned travel period that contains the planned travel time, identifying the corresponding period of previous years corresponding to the planned travel period, identify the destination area that contains the destination, obtaining historical traffic flow data of the target area in the corresponding period of the previous year. According to the difference degree of the traffic flow data of each sampling area in the traffic flow historical data, the target area is divided into several traffic areas. According to the distribution of each traffic area and the traffic flow historical data of the traffic area in the corresponding period of the past year, the travel time and/or travel route are planned. The method and the system can meet the requirement of making long-term travel plan in advance, so as to avoid the influence on the journey experience and the progress due to the time and the road section catching up with the traffic rush in the journey.

Description

technical field [0001] The invention relates to the technical field of traffic forecasting, in particular to a travel planning method and system based on traffic flow forecasting. Background technique [0002] With the improvement of people's living standards, more and more people choose to go out to travel, and travel has become a major choice for people to relax and entertain during vacations or spare time. The smoothness of the overall tourism process and the quality of the tourism experience are inseparable from the traffic conditions. If traffic jams occur during the travel or return process, it will greatly affect people's travel mood and even disrupt the travel experience. Subsequent overall travel planning. Therefore, when people plan their trips in advance—especially when traveling by car or traveling by car, they all hope to avoid traffic peak hours and road sections by adjusting the planned travel time and routes. [0003] At present, the relevant methods of tra...

AI Technical Summary

Problems solved by technology

[0003] At present, the relevant methods of traffic flow forecasting are mainly short-term forecasting, such as predicting the traffic situation a few hours later, and travel plans such as travel planning generally need to be made days, weeks or even months in advance, so the existing The way of predicting the traffic conditions in the near future cannot meet people's needs for predicting the long-term traffic conditions mentioned above

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