Advanced Technique for MRM multiresolution models - PowerPoint PPT Presentation

1 / 19
About This Presentation
Title:

Advanced Technique for MRM multiresolution models

Description:

Many research and development about MRM. But, few study about the method to determine the resolution of models. ... Save the time to calculate and computer resources. ... – PowerPoint PPT presentation

Number of Views:153
Avg rating:3.0/5.0
Slides: 20
Provided by: sekines
Category:

less

Transcript and Presenter's Notes

Title: Advanced Technique for MRM multiresolution models


1
Advanced Technique for MRM (multi-resolution
models)
Paper Number 01S-SIW-053 25-30 March 2001
Satoshi SEKINE TOSHIBA CorporationTokyo,
JAPAN81-(0)42-340-6418satoshi.sekine_at_toshiba.co
.jp
2
Contents
  • Introduction
  • Background and Objectives
  • Methodology
  • Apply to the traffic simulation
  • Prototype
  • Conclusion and Future works

3
Introduction
  • Multi-resolution model(MRM) is simulation model
    which has various kind of resolution.

4
Background and Objectives
  • MRM simulation is very useful to evaluate huge
    and complex systems
  • Many research and development about MRM.
  • But, few study about the method to determine the
    resolution of models.
  • This paper presents a framework to decide the
    resolution of models.

5
Methodology
  • Entity-level model high resolution
  • Accurate conclusion
  • Much time to calculate and computer resources
  • Aggregate model low resolution
  • Inaccurate conclusion
  • Save the time to calculate and computer
    resources.
  • We have to decide an adequate resolution of
    models to analyze the system.

6
Framework
  • Select the simulation model according to the
    conditions or the state variables.

7
Select models
  • Examples of Condition to select the simulation
    model
  • Position or area in Simulation space.
  • Time or period in Simulation time.
  • The specific state variables of simulation
    models.
  • We can also change the resolution of models
    dynamically.

8
Apply to the traffic simulation
  • Aggregate models represent a party of several
    vehicles or a flow.
  • Entity-level models represent individual vehicle
    and its behavior or the relationship.

9
Aggregate model
  • Block density model
  • Divide the road (link) as small parts (blocks).
  • The traffic flow closely to a fluid.
  • Define the Q-K relationship of traffic quantity
    and block density.
  • Calculate the traffic flow based on the Q-K
    relationship and preservation law of traffic.

10
Block density model
  • Calculate the traffic between blocks based on the
    Q-K relationship and preservation law of traffic

11
Entity-level model
  • Road and vehicle model
  • Represents the vehicle controller and dynamics
  • Includes state variables such as position,
    velocity
  • Switch the velocity and head to head distance
    control.

12
Aggregation and disaggregation
  • Aggregation
  • The density of block
  • Traffic quantity at the exit of block
  • Disaggregation
  • The number of vehicle
  • The vehicle velocity
  • Vehicles running on the block with equal distance

13
Prototype configuration
  • Prototype simulator to verify to the proposed MRM
    simulation system.
  • Class configuration.
  • MrmSim, Field, Block, Vehicle
  • Implemented as an applet of Java language.

14
Prototype GUI
  • Gray color represents the aggregate model.
  • White background represents the entity-level
    model.
  • A vertical short dash is a vehicle.
  • Buttons which control the simulation execution.

15
Two simulation examples
  • We show two examples of traffic simulation by the
    prototype simulator.
  • Case 1
  • Simulation model is selected according to the
    vehicle position.
  • Case 2
  • Simulation model is selected according to the
    block density.

16
Simulation case1
  • Selecting according to the vehicle position

17
Simulation case2
  • Selecting according to the traffic density

18
Conclusion
  • The MRM simulation system which determine the
    resolution of the models according to state
    variables of simulation objects or environment
    situations.
  • Application to the traffic simulation and the
    prototype of simple traffic simulator
  • Show two examples of simulation which verify the
    usefulness of this method.

19
Future works
  • Investigation to the more complex traffic
    networks
  • Analyze the amount of calculation and computer
    resources concretely
  • Application to another fields.

20
Contacts
Satoshi SEKINE TOSHIBA CorporationSystem
Integration Technology Center 3-22,
Katamachi Fuchu,TokyoJAPANPhone
81-(0)42-340-6418Facsimile 81-(0)42-340-6013E
-mail satoshi.sekine_at_toshiba.co.jp
Makoto KANOU makoto.kanou_at_toshiba.co.jp
Akira HIGASHIDEakira.higashide_at_toshiba.co.jp
Michihiko OGATA miki.ogata_at_toshiba.co.jp
Write a Comment
User Comments (0)
About PowerShow.com