Abstract

The purpose of this research is to design and implement a road traffic congestion and traffic patterns simulation (TPS) model and integrate it with extension-information model (EIM). The problems of road traffic simulation and control are studied according to the method of extension information model, and from the spatio-temporal analysis point of view. The rules of the traffic simulation from existence to evolution are analyzed using theories. Based on this study, the concept of traffic system entropy is introduced, and resulted in the establishment of a fundamental frame work for the road traffic simulation system based on extension spatio-temporal information system. Moreover, a practicable methodology is presented.

Highlights

  • Traffic congestion has been a major problem on roads around the world for many years

  • To simulation traffic congestion pattern developing process from a micro-level, first we need to find out the invisible phenomenon which broadcast over space and time, and set it as state variable

  • Traffic congestion when happened, where, what form, why, what change? These are named for 5CW problem

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Summary

INTRODUCTION

Traffic congestion has been a major problem on roads around the world for many years. Forecasts from the Department for Police show that the volume of road traffic will continue to increase at an alarming rate These forecasts, which in the past have been conservative estimates, suggest that traffic levels will increase by approximately 50% between the years 2010 and 2020. The purpose of this research is to design and implement a road traffic patterns and traffic congestion degree simulation (TPS) model and integrate it with extension-information model (EIM). The accumulation of individual congestion reveals traffic patterns in space and time Another reason for choosing traffic congestion pattern simulation is to expand SP’s application to invisible spatial-temporal processes. To simulation traffic congestion pattern developing process from a micro-level, first we need to find out the invisible phenomenon which broadcast over space and time, and set it as state variable.

Traffic congestion
System Simulation
Methodologies
Simulation model of traffic congestion degree
Non-equilibrium traffic control system
The Entropy Characteristic of the traffic congestion system
Findings
CONCLUSIONS
Full Text
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