| Summary: | 碩士 === 國立中央大學 === 土木工程學系 === 85 === Land transportation is the major transportation mode
islandwide in Taiwan. Keeping road surface condition at a
satisfactory level os service,such as in terms of safety and
comfort, are the principal objectives to achieve for road
maintenance agencies. Previous studies on pavement management
have mostly focused on building pavement (PPI) or
prioritizingpavement rehabilitation. The primary purpose of the
study is therefore to build a model for predicting the cycle
time of pavement rehabbilitation using the factors that affect
pavement performance. Consider the availability of collected
data, the scope is limited to the flexible pavement type with
the chosen influential factors. includingtraffic volume (in
pcu), equivalent single axel load (ESAL), precipitation,daytime
period and temperature difference. Historical data on the chosen
variables in I-Lan were collected from the fourth regional
branch, TaiwanHighway Brueau. The collected raw data were coded,
screened by deleting unresonable values, reorganized and
standardized, and then used to calibratepredictive model for the
cycle time of pavement rehabilitation. Statisticalmethods are
used to test the validity of the calibrated regression models.
The proposed predictive models for the cycle time of areawide
pavement rehabilitation in combination with the collected
historical data are thencoded into GIS (Geographic Information
System) data base as spatial attributes. Users may select
either tabular or mapping type to display roadsegment that match
user''s specifications.
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