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

Urban dynamic route travel time predication method

A technology of travel time and dynamic path, applied in traffic flow detection, traffic control system of road vehicles, instruments, etc., can solve the problem of low prediction accuracy of travel time prediction method

Inactive Publication Date: 2015-03-11
HOHAI UNIV
View PDF6 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The prediction accuracy of the existing urban route travel time prediction methods is not high. If the existing prediction methods can be integrated to form traffic rules, various traffic characteristics are considered in the prediction process, and the travel time of various traffic events can be dynamically adjusted. The weight of influence will greatly improve the accuracy of vehicle travel time prediction

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
  • Urban dynamic route travel time predication method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0074] The present invention will be further described below in conjunction with the drawings. The following embodiments are only used to explain the technical solutions of the present invention more clearly, and cannot be used to limit the protection scope of the present invention.

[0075] The city route travel time prediction method based on floating car data of the present invention, such as figure 1 As shown, including the following steps:

[0076] Step 1: Use data mining methods to create historical traffic patterns and historical traffic rules based on floating car data;

[0077] In order to obtain the traffic mode and traffic rules for travel time prediction, the definitions of time and space dimension, road network and traffic mode need to be given, respectively:

[0078] 1) Define the space-time dimension. The time dimension is divided into "year", "season", "month", "week", "hour", and "half hour"; the space dimension is divided into link chains.

[0079] Then divide the roa...

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 an urban dynamic route travel time predication method. The method comprises the steps of analyzing historical traffic data; extracting traffic modes from the historical traffic data, including the correlation of segment links; acquiring a historical information based recommended route on the basis of input starting point and ending point and the travel time; inputting the real-time traffic event when driving a vehicle; predicating again on the basis of a new staring point; and modifying the recommended route, so as to apply the predication method to a real-time dynamic navigation system. The urban dynamic route travel time predication method has the advantages that the historical urban traffic modes are effectively integrated into account, so as to effectively predicate the urban dynamic route travel time; the method is simple and easily conducted; the operation conditions are easily met; the urban dynamic route travel time can be predicated to guide to select a reasonable travel route for the vehicle; and the method plays a key role in relieving urban traffic jam, and is easily popularized and used in large and medium size cities.

Description

Technical field [0001] The invention relates to a method for predicting travel time of urban dynamic paths, and belongs to the technical field of road traffic. Background technique [0002] In the field of intelligent transportation research, how to improve the level of transportation services, many countries and regions have carried out research on urban road travel time prediction, and it has become one of the hot spots of international research. The existing travel time prediction methods mainly focus on the travel time prediction of static routes. [0003] Existing urban route travel time prediction methods have low prediction accuracy. If the existing prediction methods can be integrated to form traffic rules, various traffic characteristics are considered in the prediction process, and various traffic events can be dynamically adjusted to travel time. The weight of influence will greatly improve the accuracy of vehicle travel time prediction. Summary of the invention [0004...

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): G08G1/0968G08G1/01
CPCG08G1/0129G08G1/096833
Inventor 刘文婷
Owner HOHAI UNIV
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