Title Demonstration project of Regional Intelligent Transportation Systems: Traffic Analysis and Prediction Systems(II)
Dept IOT
Year 2005
Month
Price
Summary Published in March 2005
     Intelligent Transportation Systems (ITS) focus on increasing the efficiency of existing surface transportation systems through the use of advanced computers, electronics, and communication technologies.
    Several dynamic on-line models, including DYNASMART-X and DynaMIT, have been developed to utilize ITS technologies
however, these models cannot be deployed directly in Taiwan because of some local traffic characteristics, such as motorcycle flow considerations and
behavior.

This research aims at developing an integrated dynamic simulation-assignment model for Advanced Traffic Management Systems as well as Advanced Traveler Information Systems.

     The model is composed of two layers, namely simulation-layer and real-time control layer.

     The simulation layer is designed to simulate traffic flow patterns according to assumed tripmaker characteristics and/or under a set of given conditions
the real-time control layer receives real-time vehicle information and forecasts short-term traffic flow patterns.

A simulation-assignment model, DynaTAIWAN, is developed, and one of the key features of DynaTAIWAN is its ability to model vehicle paths in the network as the explicit outcome of route assignment decisions at origins or at nodes of the network.

     Traffic flow is represented using a hybrid approach where vehicles are tracked individually in a mixed traffic flow, and moved consistently with macroscopic traffic flow relations.

     Junction delays are explicitly modeled. Four different vehicle types are explicitly considered and modeled, including car, bus, motorcycle, and truck.

    The framework is analyzed and designed through object-oriented (OO) approach via UML (Unified Modeling Language), and the model is implemented in C++ to inherit OO characteristics.
    
    DynaTAIWAN is executed on personal computers with at least Pentium-class CPU and 512 MB RAM on Microsoft Windows 2000 or Windows XP platforms.

     Numerical experiments based on a real network of Taichung City are conducted to investigate time-dependent flow patterns.
Post date 2005/10/05
Hashtags
View count: 110