Highway traffic state estimation method considering speed discrete characteristic

A technology for expressway and traffic status, which is applied in the traffic control system of road vehicles, traffic flow detection, traffic control system, etc., and can solve the problems of difficult traffic status information and estimated status that cannot fully reflect the actual traffic status

Active Publication Date: 2016-11-02
重庆若谷信息技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method aims at the disadvantage that the traditional traffic state estimation method only uses macroscopic traffic flow parameters, ignores the differences in the driving states of individual vehicles, and is difficult to fully grasp the traffic state information, resulting in the fact that the estimated state cannot fully reflect the actual traffic conditions.

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  • Highway traffic state estimation method considering speed discrete characteristic
  • Highway traffic state estimation method considering speed discrete characteristic
  • Highway traffic state estimation method considering speed discrete characteristic

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Embodiment 1

[0060] The expressway traffic state estimation method considering the speed discrete characteristics provided by this embodiment overcomes the shortcomings of the traditional expressway traffic state estimation method based on the fuzzy C-means clustering method, specifically as follows:

[0061] (1) The selection of traffic characteristic parameters. In traditional traffic state estimation, only relying on macroscopic parameters cannot effectively describe the difference of traffic state. As a basic feature of traffic flow characteristics, speed dispersion can describe the stability and variability of traffic state well. Therefore, it is of great significance to introduce speed dispersion into traffic state estimation. At the same time, the ability of different traffic flow characteristic parameters to represent the traffic state is not the same. Reasonable determination of the degree of influence of different parameters on state changes can further improve the estimation acc...

Embodiment 2

[0075] The expressway traffic state estimation method based on speed discrete characteristics provided in this embodiment takes into account the influence of speed discrete characteristics on traffic conditions, and improves the traditional FCM clustering method by introducing speed discrete characteristic indicators to improve the speed of the expressway. The effect of traffic state estimation includes the following steps:

[0076] 1. Acquisition of speed discrete characteristic index and basic parameters of traffic flow

[0077] The invention proposes a description method suitable for the degree of speed dispersion for expressway traffic state estimation considering speed dispersion characteristics.

[0078] The speed standard deviation is an index reflecting the difference between different vehicle speeds within the detection time, and its form is simple and reasonable. However, in the case of a large difference in the average speed, the direct use of the speed standard de...

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Abstract

The invention discloses a highway traffic state estimation method considering the speed discrete characteristic. The highway traffic state estimation method comprises the following steps that S1: speed discrete characteristic indexes and traffic flow characteristic parameters are set; S2: traffic flow data are acquired and the traffic flow characteristic parameters are weighted by using a RelielfF method; S3: the clustering center of the traffic flow characteristic parameters is optimized by using an artificial bee colony algorithm; and S4: the optimized clustering center is outputted and the traffic estimation state is determined. The speed discrete characteristic parameters are introduced based on a fuzzy C-mean algorithm, the characteristic weight is determined by using the RelielfF method according to different contribution degrees of different characteristics on the state estimation result, and optimization of the clustering initial point is performed by using the artificial bee colony method so that estimation of the highway traffic state can be realized.

Description

technical field [0001] The invention relates to the field of expressway traffic state detection, in particular to a method for estimating expressway traffic state considering the discrete characteristics of speed. Background technique [0002] With the development of my country's national economy, the number of vehicles per capita continues to increase, and the road traffic flow continues to increase. Due to the uneven distribution of expressways in time and space in our country, traffic congestion and traffic accidents frequently occur on expressways. , the overall service performance of the highway is greatly reduced. Accurate estimation of highway traffic status can provide effective traffic information for road travelers and managers, so as to adjust travel routes and carry out timely control measures, effectively reduce traffic congestion and avoid secondary traffic accidents. [0003] In the actual traffic environment, due to the frequent acceleration, deceleration, ov...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G06F17/15G06F17/16
CPCG06F17/15G06F17/16G08G1/0133
Inventor 孙棣华赵敏刘卫宁郑林江陈曦
Owner 重庆若谷信息技术有限公司
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