Path planning determining method based on cladogram topological road network construction

A technology of path planning and determination method, applied in the direction of road network navigator, etc., can solve problems such as the inability to guarantee the diversity of the offspring population and easy to fall into the local optimal solution.

Active Publication Date: 2011-09-07
ZHEJIANG UNIV OF TECH
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Problems solved by technology

Liu Fei et al. proposed a solution to the network path optimization problem based on enhanced genetic mutations. Since there is only one initial population, it is impossible to avoid the early convergence phenomenon commonly found in genetic algorithms, and it cannot guarantee the diversity of offspring populations.
Jing Ling et al. proposed a path induction algorithm based on specific ordering, selection, crossover, and genetic operators, but the algorithm has a high dependence on the quality of the initial population. If the quality of the initial population is poor, it is easy to fall into a local optimal solution.
[0005] Therefore, the existing technology has defects in the path planning of the actual road network, and needs to be improved

Method used

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  • Path planning determining method based on cladogram topological road network construction
  • Path planning determining method based on cladogram topological road network construction
  • Path planning determining method based on cladogram topological road network construction

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Embodiment 1

[0047] refer to Figure 1 to Figure 10 :

[0048] A path planning method based on evolutionary tree topology road network construction, comprising the following steps:

[0049] 1) Obtain the complete road network data of the city, and use the adjacency matrix method to construct a fully connected road network graph representing the original geographic information G , abstracting the road network nodes into a fully connected graph nodes in , and the road network accessibility between road network nodes is abstracted as a fully connected graph side in The connectivity of , a fully connected graph ,in is a node set, Indicates the number of nodes; Represents the set of edges between the nodes of each road network, where Indicates the number of sides, then there is ;

[0050] edge weight matrix Represents the full Unicom map The weight between each node:

[0051]

[0052] in represents a node , reachable distance between road networks; Represent...

Embodiment 2

[0128] In conjunction with the complete road network of the actual city, the present invention is further described:

[0129] A path planning determination method based on evolutionary tree topology road network construction, such as figure 1 shown, which includes the following steps:

[0130] A1. Obtain the complete road network data of the city and build a fully connected map of the road network ,in is the road network node set, Indicates the number of nodes. Represents the set of edges between the nodes of each road network, where Represents the number of edges, edge weight matrix Represents the full Unicom map The weight between each node , Represented as nodes in the road network , The reachable distance of the road network; A2, the fully connected graph of the road network According to the classification of its node adjacency relationship, it is divided into a binary road network topology evolution tree represented by the adjacency value between ro...

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Abstract

The invention discloses a path planning determining method based on cladogram topological road network construction, which comprises the steps of: obtaining city complete road network data, constructing a road network full-connected graph G expressing original geographic information by applying an adjacent topological cladogram; classifying and dividing the road network full-connected graph G into a Y-type road network topological cladogram; obtaining the minimal branching tree comprising all target nodes; and eliminating invalid branching nodes by adopting a branching delimiting searching strategy for the minimal branching tree comprising all target nodes in a road planning problem, reducing incidence matrix dimensionality and obtaining a planning result. The invention has the advantagesof optimizing algorithm complexity of the road planning process and improving road planning efficiency.

Description

[0001] technical field [0002] The invention relates to the field of geographic information data processing and computer application, and in particular to a path planning method based on evolutionary tree topological road network construction. Background technique [0003] For an actual urban road network with connected stops, how to solve the multi-stop network path optimization problem in polynomial time is a key research problem in intelligent transportation systems. [0004] At present, most network path planning problems are generally solved by precise algorithms such as minimum K value method and dynamic programming, or heuristic algorithms such as genetic algorithm and ant colony algorithm. Among them, Zhan et al. realized the path optimization algorithm under the actual traffic road network conditions for the first time, but the traditional D algorithm used by them for route search is very accurate for small-scale nodes, but for large-scale network nodes the require...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/34
Inventor 张贵军吴海涛郭海峰洪榛何洋军金媚媚俞立
Owner ZHEJIANG UNIV OF TECH
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