Travel suggestion method and system based on big data, storage medium and server

Abstract

The invention provides a travel suggestion method and system based on big data, a storage medium and a server. The method is applied to the server and comprises the steps of acquiring a travel query request sent by a user terminal, wherein the travel query request comprises a departure place, a destination and travel time; determining one or more driving paths from the departure place to the destination at the travel time, wherein each driving path comprises a plurality of road sections which are communicated in sequence; for each driving path, determining vehicle passing data of each road section in the driving path in a corresponding driving sub-time period so as to determine a road unimpeded traffic score of the driving path in a target driving time period, wherein the target driving time period representing a time period from the travel time to the arrival time, and the driving sub-time period corresponding to one road section is the estimated time period spent by the user vehicle to pass through the previous road section of the road section; and according to the road unimpeded traffic score of each driving path in the target driving time period, generating a travel suggestion and returning the travel suggestion to the user terminal.

Description

technical field [0001] The present application relates to the technical field of big data, in particular, to a method, system, storage medium and server for travel advice based on big data. Background technique [0002] Big data refers to massive, high-growth and diverse information assets that require new processing models to have stronger decision-making power, insight and process optimization capabilities. "Big data" is a large data set collected from many sources in multiple forms, often in real time. From a technical point of view, the relationship between big data and cloud computing is as inseparable as the front and back of a coin. Big data needs to rely on distributed computing architecture for processing. [0003] Vehicle driving is a routine way of travel in people's modern life, but the rapid growth of vehicle ownership has brought a huge traffic burden. Especially in the morning and evening peak hours and holiday peak hours, the problem of road congestion is p...

AI Technical Summary

Problems solved by technology

[0003] Vehicle driving is a routine way of travel in people's modern life, but the rapid growth of vehicle ownership has brought a huge traffic burden

Especially in the morning and evening peak hours and holiday peak hours, the problem of road congestion is particularly obvious, which seriously affects the efficiency of people's travel and wastes a lot of people's time for work.

[0004] The development and popularization of navigation technology can show people the road conditions during driving, but such reminders are usually real-time and difficult to predict in advance. In short, people have already chosen the way of attendance It is difficult to predict and plan corresponding attendance methods when driving on the road, so there are still many inconveniences

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