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Multi-vehicle energy efficiency optimization algorithm for human-vehicle-road cooperation

A vehicle-road coordination and optimization algorithm technology, applied in the field of intelligent logistics, can solve the problems of lack of matching design for different types of vehicles, ignoring the influence of drivers, etc., and achieve the effect of simple structure, easy implementation, and clear algorithm flow

Pending Publication Date: 2022-07-05
TIANJIN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, both studies lack the matching design of different types of vehicles, and also ignore the driver's influence

Method used

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  • Multi-vehicle energy efficiency optimization algorithm for human-vehicle-road cooperation
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  • Multi-vehicle energy efficiency optimization algorithm for human-vehicle-road cooperation

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Embodiment Construction

[0039] In order to make those skilled in the art better understand the solutions of the present invention, the technical solutions of the present invention are further described below with reference to specific embodiments.

[0040] The given transportation task is from Beijing to Wuxi, the freight mass is 135 tons, and the transportation time is not more than 30 hours.

[0041] A multi-vehicle energy efficiency optimization algorithm for human-vehicle-road coordination, comprising the following steps:

[0042] Step 1, the node path graph generated by the historical data in the database is as follows figure 2As shown, the shortest path planned by Dijkstra algorithm is 1-4-9-10 (Beijing-Hengshui-Nanjing-Wuxi), and the shortest distance is 1313km. The Gaussian process regression method is used to fuse the vehicle speed segments between nodes, and the generated global vehicle speed condition curve is as follows image 3 shown. The transportation time of this line is 24.13 hou...

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Abstract

The invention discloses a multi-vehicle energy efficiency optimization algorithm based on human-vehicle-road cooperation, and the algorithm carries out the optimization of the multi-vehicle transportation efficiency and energy efficiency from the four levels of lines, vehicles, drivers and power system control parameters, and achieves the optimization of the multi-vehicle energy efficiency from the whole situation.

Description

technical field [0001] The invention belongs to the technical field of intelligent logistics, and in particular relates to a multi-vehicle energy efficiency optimization algorithm for human-vehicle-road coordination. Background technique [0002] In the face of large-scale road transportation tasks, logistics and freight companies need to choose reasonable transportation routes, arrange corresponding vehicles, and assign corresponding drivers. The above management process generally relies on manual experience or a simple information sharing platform, and there is no systematic global planning system. [0003] Obviously, the choice of route has a huge impact on energy consumption. Under the selected route, how to choose freight vehicles also has a significant impact on transportation efficiency. The reason for this is that vehicle selection affects the number of vehicles put into service and the idling rate of vehicles affects actual fuel consumption. In addition, the driv...

Claims

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Application Information

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IPC IPC(8): G08G1/01G08G1/123
CPCG08G1/0125G08G1/0129G08G1/123Y02T10/40
Inventor 谢辉宋康张榆川
Owner TIANJIN UNIV