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Method for searching lowest carbon path of automobile under dynamic traffic environment

A technology of traffic environment and route search, applied to road network navigators, measuring devices, instruments, etc., can solve problems such as unseen and achieve high computing efficiency

Active Publication Date: 2016-08-17
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing map route search algorithms, the Dijstra algorithm for the shortest driving route or the shortest driving time is widely used, and there is no driving route optimization algorithm for the lowest carbon emission of vehicles.

Method used

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  • Method for searching lowest carbon path of automobile under dynamic traffic environment
  • Method for searching lowest carbon path of automobile under dynamic traffic environment
  • Method for searching lowest carbon path of automobile under dynamic traffic environment

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Embodiment Construction

[0044] The method of the invention can be realized by writing a corresponding computer program, and can be embedded in the current electronic map GPS software system as a basic function of the electronic map route search service.

[0045] The present invention is a method for searching the lowest carbon route for automobiles in a dynamic traffic environment, see figure 1 As shown, its specific implementation steps are as follows:

[0046] Step 1: Establish a dynamic traffic data model of the road traffic network:

[0047]Executing this step mainly includes 5 small steps, which are: (1) determine the map area where the vehicle travels; (2) establish an abstract directed graph G=(V,N) of the map area according to the map information, where V is A collection of intersections of all road sections, N is a collection of road sections connecting adjacent points; (3) Obtain the driving distance of each section from the electronic map; (4) According to the historical road condition in...

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Abstract

The invention relates to a method for searching the lowest carbon path of an automobile under a dynamic traffic environment. The method comprises the following steps: 1) establishing a dynamic traffic data model of a road traffic network; 2) establishing a CO2 (carbon dioxide) emission model of the automobile; 3) searching for the lowest carbon path between a given start point and a destination point. According to the above steps, a driving path with the lowest carbon emission can be searched from the dynamic traffic network, so as to cause the total emitted CO2 volume be the lowest when a vehicle starts from A point at r moment and continuously drives to B point; the method is fit for the lowest carbon path searching service for the general passenger vehicles as well as the lowest carbon path searching service for the larger load trucks; according to the method, the problem of optimal design for the driving path of the fuel oil type vehicle (gasoline, diesel oil, and the like) under the instant changing condition of the traffic condition can be effectively solved so as to achieve the purposes of saving fuel and reducing emission.

Description

1. Technical field: [0001] The invention provides a method for searching the lowest-carbon route for automobiles in a dynamic traffic environment, which can be used to provide the lowest-carbon route search service for automobiles in the environment of dynamic changes in traffic congestion, so that automobiles can travel on the route with the lowest cost. Fuel consumption and carbon dioxide emissions belong to the technical field of road traffic energy saving and emission reduction. 2. Background technology: [0002] According to the 2015 report of the International Energy Agency (IEA), the transportation sector (Transportation sector) has accounted for 23% of the total global carbon emissions, and road transportation accounts for 75% of the carbon emissions generated by transportation. One of the most important sources of carbon emissions. In the total carbon emissions generated by road transport, a large proportion is due to the additional increase due to traffic congesti...

Claims

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Application Information

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IPC IPC(8): G01C21/34
CPCG01C21/3469G01C21/3492
Inventor 肖依永
Owner BEIHANG UNIV
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