Abstract
Dhaka, the capital of Bangladesh, is badly affected by traffic congestion and the situation is deteriorating day by day. In order to minimize traffic congestion, we need to investigate traffic pattern of this mega city and identify the factors that are responsible for high traffic intensity. However, only a few researches have been conducted to find out the reasons behind Dhaka city’s acute traffic congestion. Most of those researches were survey based, thus, prone to perception and human intervention. In this research, we have used Global Positioning System (GPS) data in order to analyze Dhaka city’s traffic pattern. We have considered 13 DPZ (Detailed Planning Zone) zones proposed by RAJUK, the city development authority of Bangladesh for traffic modeling. Computational methods are employed to find the similarities among clusters. We consider both intra zonal road segments in a zone and inter zonal road segments that connect two or more different zones. Land use pattern is also investigated to find out the traffic variability among zones. A graph is produced to visualize overall traffic scenario of Dhaka city, where the traffic intensity is measured by GPS dataset.
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