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A stochastic dynamic network traffic planning method based on traffic index

A traffic index, random dynamic technology, applied in traffic flow detection, traffic control system, traffic control system of road vehicles, etc., to solve the problem of traffic congestion, accurate road conditions, and strong portability.

Active Publication Date: 2019-05-03
SYSU CMU SHUNDE INT JOINT RES INST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

General navigation equipment is based on GPS guidance, which will lead to the same and similar optimal routes for all users, so it is impossible to fundamentally avoid the occurrence of traffic jams

Method used

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  • A stochastic dynamic network traffic planning method based on traffic index
  • A stochastic dynamic network traffic planning method based on traffic index
  • A stochastic dynamic network traffic planning method based on traffic index

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Experimental program
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Embodiment 1

[0034] 1. Construction of traffic network model

[0035] Building a probability model requires selecting an appropriate graph model, and a binary tree, as a connected acyclic graph, has a simple logical structure and excellent representation capabilities, and has powerful processing capabilities when representing map networks. In computer science, a binary tree is a tree structure with at most two subtrees per node, such as Figure 2-5 shown. figure 2 The real road conditions in a certain area; image 3 It is an abstract representation of the transportation network, which is used to convert it into a data structure that can be processed by a computer; Figure 4 right image 3 A detailed description of a certain area in the Figure 5 is a binary tree representation of this region. exist image 3 The abstract network in has different intersection lanes (such as forks and crossroads), which can be transformed into a unified structure by a linear transformation Figure 4 ....

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Abstract

The invention discloses a random dynamic network traffic planning method based on a traffic exponent. A traffic network model is constructed through a binary tree structure, for indicating real road conditions of a certain area. A probability value of each path being selected from an origin to a destination is counted under a current traffic exponent, the probability value of each path being selected is a product of a probability value of each road, and then an optimal path is chosen. A random path searching algorithm brought forward by the invention provides a fast and accurate policy for traffic planning in a traffic network probability model, employs a binary tree as a logic structure of the probability model, is simple and reliable, can be disposed on different mobile devices and terminals and is high in transplantability and wide in application. A path status is determined by use of the traffic exponent, the method is different from a conventional GPS navigation method based on graph search, and more accurate road conditions are provided. By use of such a probability method, diversified results are brought to group planning of users, and the problem of traffic congestion is effectively solved.

Description

technical field [0001] The invention relates to the field of traffic planning, more specifically, to a traffic index-based random dynamic network traffic planning method. Background technique [0002] Urban transportation planning is an important guarantee for establishing and improving the comprehensive transportation system, and plays an important role in the development of the society and the improvement of the quality of life. In order to improve traffic efficiency, governments and institutions of various countries have carried out a lot of research work. Countries such as the United States, Europe, and Japan are no longer limited to solving problems such as traffic congestion, traffic accidents, and traffic pollution, but have turned to building a more comprehensive intelligent traffic system ( Intelligent Transportation System, referred to as ITS), and large-scale application in key development areas. In recent years, my country's research and progress in transportati...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01
CPCG08G1/0104
Inventor 邹小勇王洋李占潮戴宗
Owner SYSU CMU SHUNDE INT JOINT RES INST
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