Infrastructure Engineering - Theses

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Development of a knowledge base for low-volume roads using a geographic information system

Sun, Ran ( 2011)

Currently each State Jurisdiction holds significant expenditure and road section activity data which are in varying formats and classifications. A Knowledge Management technique can extract differing data sets across multi-criteria in order to build up comprehensive data sets. Potentially this sound knowledge base can make more precise analysis and strategic decisions for low-volume roads. Geographic Information System (GIS) has been used in this research as the platform of this knowledge base due to its powerful data integration ability. One GIS software (TransCAD) has been chosen to combine all the existing data and also to estimate the traffic data as the available data is insufficient on building up such a knowledge base. Using traffic assignment and matrix estimation techniques, traffic volume data can be estimated from limited data source to produce a more comprehensive database. Nevertheless, not all the traffic assignment techniques have been tested and matrix estimation result cannot be validated until real data are acquired. It provides an approach when developing such a knowledge base, and with more input, results can be improved and a sound knowledge base is ready to be built.