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

Highway network macroscopic traffic flow simulation method with consideration of multiple driver styles and lane selection preferences

A technology of macro traffic flow and simulation method, applied in the field of macro traffic flow simulation of high-speed road network

Active Publication Date: 2015-11-11
TONGJI UNIV
View PDF7 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a high-speed road network macro-traffic flow simulation method that considers multiple driver types and lane selection preferences in view of the problem that driver differences and lane-changing motivations cannot be fully considered in the current macro-traffic simulation model

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
  • Highway network macroscopic traffic flow simulation method with consideration of multiple driver styles and lane selection preferences
  • Highway network macroscopic traffic flow simulation method with consideration of multiple driver styles and lane selection preferences
  • Highway network macroscopic traffic flow simulation method with consideration of multiple driver styles and lane selection preferences

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] Embodiment 1: The macroscopic traffic flow simulation method of expressway proposed by the present invention is used in the appendix Figure 4 road segment shown. The road section is 4800m long, including one off-ramp and three on-ramps. Vehicles travel from east to west, and the maximum number of lanes in the road section is M=3. First, the road segment needs to be discretized in space, as shown in the appendix Figure 4 As shown, the road network is discretized into N=12 sections, and the length of each section is L i =400m (i=1,2,...,N), the number of cells contained in each section is equal to the number of lanes in the section, and the order of cell numbers in each section is as follows: Figure 4 shown. The simulation step time is set to T=10s, and the total simulation step B=360, then the total simulation time is B·T=3600s. In this embodiment, according to the analysis of traffic flow detection data, the drivers are divided into two categories with P=2: the f...

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 present invention relates to a highway network macroscopic traffic flow simulation method with the consideration of multiple driver styles and lane selection preferences. The method comprises the steps of (1) dispersing a road network as a cellular in a space, and selecting an appropriate simulation step length, (2) classifying drivers according to driving tendency and an expected speed, (3) inputting the initial state of each cellular, (4) determining a lane change ratio by using a dispersed selection model of three aspects of effectiveness of lane preference, speed preference and lane change cost, combined with a sending-receiving balance principle, calculating the flow of each cellular in the current simulation step length, (5) updating the states of all cellulars according to the current state of each cellular and the flow in the current simulation step length, and (6) repeating the steps of (4) and (5) until the simulation is ended. According to the method, the difference in driving tendency and lane selection of each driver in an actual traffic flow is considered, a highway traffic flow lane utilization rate mode and a flow-speed relation curve can be accurately simulated, and a traffic flow operation condition is accurately reflected.

Description

technical field [0001] The invention belongs to the field of high-speed road traffic simulation, and in particular relates to a high-speed road network macroscopic traffic flow simulation method considering multiple driver types and lane selection preferences. Background technique [0002] The analysis of the operation characteristics of continuous flow traffic on high-speed highways has always been a hot and difficult point in the field of transportation research. Traffic simulation technology can reproduce the change process of traffic flow with time and space, and can be applied to high-speed road traffic demand forecasting, engineering improvement measures and management control measures formulation and effect evaluation. Accurate traffic simulation model is the key to optimize high-speed road management Control measures, a powerful tool for improving facility utilization and service levels. [0003] At present, traffic simulation technology can be divided into micro-tr...

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): G09B25/00
Inventor 孙剑李宙峰李克平
Owner TONGJI 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