APPLICATION OF ARTIFICIAL NEURAL NETWORK TECHNOLOGY IN PAVEMENT MAINTENANCE DECISION SUPPORT SYSTEM
MOSTAFA ABD EL AZIZ ABD EL WAHAB;
Abstract
dentifying pavement condition is one of the most important HippoiLiii^. factors in the process of taking luainLendnce decisions of road pavements. Data collected through this item is the main input To define different levels of maintenance required for the highway network The required types of
maini£»afice are usually itfenlified un ibe basis of previously deierirnned levels Through which the type of required maintenance and the pavement condition are jinked In this thesis, the Pavement Condition Index (PCI) procedure has been u^ed in order to idciiLify the level of pavement condition and heice luentrfy the type of the required mai-uenance as veil
maini£»afice are usually itfenlified un ibe basis of previously deierirnned levels Through which the type of required maintenance and the pavement condition are jinked In this thesis, the Pavement Condition Index (PCI) procedure has been u^ed in order to idciiLify the level of pavement condition and heice luentrfy the type of the required mai-uenance as veil
Other data
| Title | APPLICATION OF ARTIFICIAL NEURAL NETWORK TECHNOLOGY IN PAVEMENT MAINTENANCE DECISION SUPPORT SYSTEM | Other Titles | تطبيق تقنيه الشبكات العصبيه الاصطناعيه فى النظم المسانده لقرارات صيانه الرصف | Authors | MOSTAFA ABD EL AZIZ ABD EL WAHAB | Issue Date | 1999 |
Attached Files
| File | Size | Format | |
|---|---|---|---|
| B18311.pdf | 843.1 kB | Adobe PDF | View/Open |
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