| Title | The Demonstration and Outreach Project of the Real-Time and Dynamic Module for Traffic Analysis and Prediction(II) |
| Dept | Transportation Energy and Environment Division |
| Year | 2009 |
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| Summary | Intelligent Transportation Systems (ITS) aim at enhancing traffic management through information exchange among traffic management centers (TMC) and travelers. In order to provide appropriate models, two projects for developing traffic estimation and prediction systems have been completed by the Institute of Transportation (IOT) from 2003 to 2006. These projects developed an integrated dynamic simulation-assignment model, DynaTAIWAN (Dynamic Traffic Assignment and Information for Wide Area Networks), for Advanced Traffic Management Systems as well as Advanced Traveler Information Systems. The model is composed of a simulation-layer and a real-time control layer. The project focuses on the validation of the real-time operational procedure through real-time data collection. The research results include the development of the MySQL database management platform, collection of the freeway’s and Kaohsiung’s VD data, and the data imputation process for missing VD data. The OD estimation procedure is applied to test the north freeway network and Kaohsiung city network. The results show that the error percentage for the northern freeway network is within the range of -40% to 20%, and the results of the Kaohsiung city network is within the range of -20% to 10%. However, the process does not include the estimation of motorcycles because the VD does not provide the capability to detect motorcycles. The RMSE and RPMSE are used to evaluate the simulation and real data. In order to observe the impact of VMS on tripmaker decisions, the 2006~2007 VMS data is collected to verify the route choice results. The project provides the VD data imputation process for missing VD data and the results can be applied for other agencies. DynaTAIWAN is the mesoscopic simulation-assignment model and provides the capability for simulating traffic strategies |
| Post date | 2009/12/03 |
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