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Dynamic path monthly average control strategy for vehicle

A dynamic path and control strategy technology, applied in vehicle position/route/altitude control, non-electric variable control, two-dimensional position/navigation control, etc. It solves the problems of reaching the destination within the

Inactive Publication Date: 2018-07-20
东莞产权投资有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] For the path selection of the on-board control and command system, the existing technologies are basically static processing or simple real-time selection of various navigations. The results are often too different from the actual ones, and the speed is still determined by the driver. Extremely rough, the accuracy rate is very low, and the past traffic data has not been well excavated, so the selection strategy is not good, and the destination cannot be reached in the shortest time

Method used

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Examples

Experimental program
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Effect test

Embodiment 1

[0032] For example, the vehicle control system received an instruction from No. 8 Zhongshan Road to No. 7 Yan'an Road at 5:06:23 p.m. on March 4, 2017.

[0033] Then the vehicle control system will do the following:

[0034] (1) According to the geographical database, the name of the building at No. 7 Yan'an Road is Huanghe Building, and the longitude and latitude coordinates are (8°E, 9°N). The name of the building at No. 8 Zhongshan Road is Zhongshan Building, and the longitude and latitude coordinates are (East Longitude 10°, 11° north latitude), to get the geographic location information of the departure and destination;

[0035] (3) From the geographic database, it is easy to get 7 different main paths from Zhongshan Building (10°E, 11°N) to Huanghe Building (8°E, 9°N), specifically path 1, path 2, path 3, path 4, path 5; path 6, path 7;

[0036] (5) Let's take route 1 as an example to illustrate how to determine the road section of the route: route 1 is composed of 3 r...

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PUM

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Abstract

The invention discloses a dynamic path monthly average control strategy for a vehicle, which comprises the steps that geographical location information and time information are obtained, all possiblepaths are determined, specific sections of each path are determined, the time tij of each section is determined, the time T1, T2,..., Tn of each path is determined, that is, the sum of the time of thesections of each path i is calculated, namely, Ti=ti1+ti2+...+tim; a minimum value Ta of the time T1, T2,..., Tn is taken so as to obtain a target path a, the path a is selected to serve as a final driving path of the vehicle, and the corresponding speed is selected to serve as the driving speed. According to the dynamic path control strategy provided by the invention for the vehicle, previous traffic data is mined and utilized, different road passage speeds of different sections are provided, the fastest path and speed from a departure place to the destination are found, and users are ensured to arrive at the destination in the shortest time.

Description

technical field [0001] The invention relates to the technical field of control strategies considering path information, in particular to a dynamic path control strategy for vehicles. Background technique [0002] At present, people's requirements for travel are getting higher and higher, and they hope to reach their destination as soon as possible. There are many traffic jams in the central urban area, and the road conditions are complicated. For example, one-way streets are common in the central urban area of ​​Shanghai. [0003] For the path selection of the vehicle-mounted control and command system, the existing technologies are basically static processing or simple real-time selection of various navigations. The results are often too different from the actual ones, and the speed is still determined by the driver. Extremely rough, the accuracy rate is very low, and the past traffic data has not been well excavated, so the selection strategy is not good, and the destinat...

Claims

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Application Information

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IPC IPC(8): G05D1/02G01C21/34
CPCG05D1/0217G01C21/3492G05D1/0088
Inventor 不公告发明人
Owner 东莞产权投资有限公司
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