Estimation of Dynamic Origin-Destination with Geographic Information
Date Issued
2008
Date
2008
Author(s)
Lee, Yen-Ning
Abstract
With the development of Geographic Information System (GIS), it has been applied to lots of fields. In both ATIS and ATMS, GIS which is more and more important can analysis and visualize the data, therefore, provide effective assistance for transportation policy decision. OD flows is the basic data in transportation planning, but to generate OD demand data is a time consuming process and hard to get. The model of dynamic OD estimation helps to get real-time transportation information and there are many transportation systems put OD data into GIS for information visualizing analyzing such as route planning.However, GIS can provide spatial information from geographic database and layers. In this research, the model of dynamic OD estimation will be combined with spatial information gotten in GIS data. Different spatial information will be set up into different research case, and then to figure out how it affects to model, to test and verify the effect of different cases. In this research, taxi OD flows are the observation OD data and the model of dynamic OD estimation is set up and based on Kalman Filter. In the system equation, three spatial information are considered, including the land-use layer, the population layer and the MRT station distribution layer. According to each factors and each OD estimation case, RMSE verify the error between real OD data and estimated OD data. Finally, application in transportation is also brought up.
Subjects
GIS
Spatial Information
Dynamic Origin-Destination
Kalman Filter
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-97-R95521521-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):c39a47e3c7f4f77d4d649347da982a37