Traffic Data Mining with Distance Matrix API by Google Maps Didi Suhaedi (a), Erwin Harahap (a*),
a) Department of Mathematics, Universitas Islam Bandung, Jalan Ranggagading No 8, Bandung 40116, Indonesia.
*erwin2h[at]unisba.ac.id
Abstract
Traffic congestion is one of the big problems faced by many cities. This condition is also experienced by the city of Bandung, Indonesia, where the congestion problem is increasing every year. The general solution to congestion problems is carried out through two methods, infrastructure development and traffic engineering. In traffic engineering, modelling and simulation are carried out using various data and traffic parameters. The main problem arose in data collection for the model. It was often difficult because researcher had to collect data all times at the road. In this paper we propose collecting data using Internet technology, specifically by using the Google Maps application through the Distance Matrix API feature. Through this method, traffic data can be obtained more simply, effective, and efficient.
Keywords: Data mining- Distance Matrix- Street traffic- Google Maps
