A route recommendation method, system and client based on taxi experience data

An experience data, taxi technology, applied in the direction of road network navigator, variable traffic indication arrangement, measurement device, etc., to avoid congested road sections and solve driving difficulties.

Active Publication Date: 2018-08-21
FUJIAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is: to recommend the best driving route to the user under the complex road conditions of the city

Method used

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  • A route recommendation method, system and client based on taxi experience data
  • A route recommendation method, system and client based on taxi experience data
  • A route recommendation method, system and client based on taxi experience data

Examples

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Embodiment 1

[0090] Please refer to figure 1 as well as figure 2 , Embodiment 1 of the present invention is:

[0091] A route recommendation method based on taxi experience data, including:

[0092] S1, preset nodes, obtain the path between the two nodes; the "preset nodes" are specifically: S11, traverse the initial position or target position of the taxi; S12, set the initial position or target position within the preset time period Sorting the frequency of location taxis; S13, according to the sorting, extracting a preset number of initial positions or target positions as preset nodes; the map-based road network divides the city into multiple nodes, and the occurrence of taxis Nodes whose frequency reaches a certain amount are used as preset nodes. For example, the frequency of taxis in parks and train stations is high, and parks and train stations are used as two preset nodes;

[0093] S2. According to the experience data, that is, the historical data of taxis, obtain the recommend...

Embodiment 2

[0098] Please refer to image 3 , the second embodiment of the present invention is:

[0099] A route recommendation system based on taxi experience data, including:

[0100] The preset node module 1 is used to preset a node; the first acquisition module 14 is used to acquire a path between two nodes;

[0101] The second obtaining module 2 is used to obtain the recommended weight value of any of the paths in the preset time period according to empirical data; the storage module is used to store the recommended weight value;

[0102] The third obtaining module 3 is used to obtain the user's current location and target location, and obtains the current location corresponding to the nearest initial node, and the target location corresponds to the nearest target node; the selection module is used to select between the initial node and the target node more than one path;

[0103] The fourth obtaining module 4 is used to obtain the current time of the user, and obtain the recommend...

Embodiment 3

[0105] Please refer to Figure 4 , Embodiment three of the present invention is:

[0106] A route recommendation client based on taxi experience data, including:

[0107] The third obtaining module 3 is used to obtain the target position of the user's current position, and obtains the nearest initial node corresponding to the current position, and the nearest target node corresponding to the target position; the selection module is used to select the initial node and the target node between more than one path;

[0108] The fourth obtaining module 4 is used to obtain the current time of the user, and obtain the recommendation weight of the current time of the path within the preset time period;

[0109] A recommendation module 5, configured to recommend a preset number of paths corresponding to the recommended weights;

[0110] The seventh obtaining module 6 is used to obtain the path from the current position to the initial node, and obtain the path from the target position...

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Abstract

The invention provides a route recommending method based on taxi empirical data, a system and a client. The method comprises the following steps: presetting nodes by a node presetting module, obtaining a route between two nodes; obtaining the recommendation weight of the route in a preset time period by a second obtaining module according to the empirical data, storing the recommendation weight; obtaining the current position and the target position of a user by a third obtaining module, obtaining the primary node that is closest to the current position and the target node that is closes to the target position; selecting at least one route between the primary node and the target node; obtaining the current time of the user by a fourth obtaining module, obtaining the recommendation weights of the selected routes in the time period that the current time belongs to; and recommending the preset-number routes by the recommending module according to the recommendation weight.

Description

technical field [0001] The invention relates to the field of electronic navigation, in particular to a route recommendation method, system and client based on taxi experience data. Background technique [0002] With the development of science and technology and the improvement of living standards, route navigation has become an indispensable step for people to travel. The patent document with application number 200610105972.2 discloses a navigation system for route search based on predetermined conditions, providing starting point and end point A navigation route between trips, the navigation system includes: a display unit for displaying a navigation route and / or a candidate navigation route with an associated condition name, wherein the predetermined condition with an associated condition name generates a plurality of candidate navigation path. [0003] The above scheme searches for the itinerary navigation path between the start point and the end point based on the name ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C21/34G08G1/09
CPCG01C21/343G08G1/09
Inventor 葛祥海邹复民蒋新华廖律超赖宏图徐翔郑鸿杰方卫东朱铨甘振华杨海燕李璐明胡蓉陈子标包琴张茂林张美润陈韫邓艳玲
Owner FUJIAN UNIV OF TECH
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