Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for forecasting influence range of highway traffic incident on basis of microscopic simulation

A technology for traffic incidents and highways, applied in software simulation/interpretation/simulation, program control devices, etc., to achieve the effects of improving estimation accuracy and accuracy, expanding the scope of application, and ensuring data quality

Inactive Publication Date: 2015-05-27
CHINA ACAD OF TRANSPORTATION SCI
View PDF6 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] The object of the present invention is to provide a kind of prediction method based on the range of influence of expressway traffic event of microcosmic simulation, thus solve the aforementioned problem existing in the prior art

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for forecasting influence range of highway traffic incident on basis of microscopic simulation
  • Method for forecasting influence range of highway traffic incident on basis of microscopic simulation
  • Method for forecasting influence range of highway traffic incident on basis of microscopic simulation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] In this embodiment, a method for predicting the impact range of expressway traffic events based on microscopic simulation is provided, which can be implemented according to the following steps:

[0060] Step 1: Obtain real-time toll data and historical toll data of the expressway network.

[0061] The main content of expressway toll data includes information such as the time when the current vehicle enters the expressway, the code of the toll station entering the expressway, the time of leaving the expressway, the code of the toll station leaving the expressway, and the vehicle type. By counting the toll data of entering / leaving the same toll station in the same time period of entering the expressway, the traffic demand data of the expressway in different periods can be obtained. The time granularity of a traffic demand matrix is ​​5 minutes. The horizontal axis and the vertical axis of the matrix are the numbers of toll stations included in the road network, and the di...

Embodiment 2

[0073] In this embodiment, a method for predicting the impact range of expressway traffic events based on microscopic simulation is provided, which can be implemented according to the following steps:

[0074] step 1:

[0075] Store the information of vehicles leaving the expressway after traveling in the toll station exit information table. The fields in the table can include: entry time, entry code, exit time, exit code, license plate number, and vehicle type.

[0076] Step 2:

[0077] The traffic event information is stored in the traffic event information table, and the fields in the table may include: event occurrence time, event occurrence road section, direction, stake position, number of passable lanes before the event, and number of passable lanes after the event.

[0078] Step 3:

[0079] The deviation of the OD to be estimated relative to the historical OD is defined as a state vector, and the deviation obeys an autoregressive process:

[0080] ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for forecasting an influence range of a highway traffic incident on the basis of microscopic simulation and relates to the technical field of forecasting on the influence range of the traffic incident. The embodiment of the invention provides the following technical scheme that forecast future traffic demand data and traffic incident information are loaded a micro traffic simulation platform, and micro behaviors such as response, deceleration, queuing and the like of a vehicle in the traffic incident are simulated by a micro traffic simulation model so as to forecast the influence range of highway traffic time. Compared with a method for forecasting the influence range of the highway traffic incident on the basis of a traffic-wave theory, the forecasting method provided by the invention is obvious improved in precision and accuracy of estimating the influence range of the traffic incident; moreover, according to the embodiment of the invention, data is not limited to the arrangement condition of a vehicle detector, the application range is obviously enlarged, and the method is more suitable for forecasting the influence range of the highway networked traffic incident.

Description

technical field [0001] The invention relates to the technical field of forecasting the impact range of traffic events, in particular to a method for predicting the impact range of expressway traffic events based on microcosmic simulation. Background technique [0002] Expressway traffic accidents are an important factor affecting safe traffic. Once they occur, they will easily lead to secondary accidents, and will cause traffic congestion to spread in a wide range, quickly spreading to the upstream of the road section and even adjacent national and provincial roads, seriously affecting the normal operation of road network traffic. Therefore, obtaining traffic accident information in a timely manner after a traffic accident and quickly and accurately predicting the traffic state after the accident, especially the impact range of congestion caused by the accident, are the prerequisites for expressway managers to formulate scientific and reasonable disposal and control plans. ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06F9/455
Inventor 张敖木翰张平曹剑东刘娜黄海涛
Owner CHINA ACAD OF TRANSPORTATION SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com