Experience route generation method based on probe vehicle data

A technology of floating car data and path generation, applied in traffic flow detection and other directions, to achieve the effect of controllable peak time, sufficient data volume, and reduced matching accuracy requirements

Active Publication Date: 2013-07-24
GUANGDONG FUNDWAY TECH
View PDF6 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] (2) Drift

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
  • Experience route generation method based on probe vehicle data
  • Experience route generation method based on probe vehicle data
  • Experience route generation method based on probe vehicle data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0035] Define the reasonable travel path chosen by the traveler through experience as the experience path. In actual travel, the driver does not necessarily choose the shortest route, but chooses a more reasonable route based on his accumulated knowledge of road smoothness and time loss over the years, so as to avoid some congested and remote road sections. Therefore, the empirical path generated according to the travel choice behavior of the floating car, as a reasonable path, can truly reflect the travel habits and choice preferences of the floating car driver and other travelers.

[0036] This embodiment takes the taxi data from Guangzhou B.C. to Jiangnanxi all day on July 6, 2011 as an example for a specific introduction. The starting point range is set to the intersection of Zhongshan 6th Road-...

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 provides an experience route generation method based on probe vehicle data. Firstly, original probe vehicle data are extracted and processed, and invalid and abnormal points belonging to a light condition and at the positions which do not belong to service scopes of a target starting point and a target terminal point are removed; a model is built according to the principle that direction element weighting is higher than distance element weighting to enable locating points to be matched on a road section; then an experience route threshold value is calculated according to numbers of the location points and the length of a shortest path which are matched to the road section, the road section is considered to be an experience route section if the matched locating point number per kilometer exceeds the experience route threshold value, and an experience route net is composed of each experience route section; and finally a simple loop-free route calculation algorithm is loaded on the experience route net to obtain an experience route. The experience route generation method combines characteristics of sparsity, drifting, magnanimity and the like of the probe vehicle data, a generated route set can be used for guiding a traveler to reasonably select traveling routes, reasonable route set references can be provided for traffic designers, and the method serves as a tool for traffic administrators to formulate route induction strategies.

Description

technical field [0001] The present invention relates to the technical field of traffic planning application, and more specifically, relates to an empirical route generation method based on floating car data. Background technique [0002] In the urban road network, there are a lot of paths that can be connected between a starting point and an ending point, but drivers usually only choose a limited number of them when traveling, and these paths are reasonable paths. Reasonable paths are used as the input path of the path selection model, which can reflect the driver's real choice behavior, and these paths also provide alternative paths for path induction. [0003] Traditional methods for determining reasonable paths are generally generated by the following algorithms, including Dial algorithm, heuristic algorithm, K-short path method, and path enumeration method with constraints. Among them, the Dial algorithm does not directly give a reasonable path set, but directly distrib...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
Inventor 李军赵长相谢良惠
Owner GUANGDONG FUNDWAY TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products