Abstract
The well-planned road network is the catalyst to the economic growth and development of a country. High traffic volume may cause instability in traffic flow and may lead to the road accidents.Therefore,in order to reduce the heavy traffic and road accidents,the information about the volume of daily road traffic such as which road is the most congested and when it happened have to be predicted.Hence, Box-Jenkins approached and Statistica 6.0 was used in this project. The data used in this project is the 16 hours volume of daily traffic data,which is collected in March. These data were obtained from 9 censuses stations in Kulim/Bandar Baharu. The output of this project can assist the Public Worker department to identify the most congested road within 9 censuses stations and peak hours for each station. According to this information also, they can do further expansion,upgrading and make improvement of country's networks of infrastructure.
Website : http://ir.fsksm.utm.my/1453/
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