City Intersection Clustering and Analysis Based on Traffic Time Series

Abstract

In the past few years, the number of private vehicles has risen intensely and will continue to grow in the future. Traffic management has become a significant concern as traffic issues directly affect the quality of life. Different methods have been implemented to track city traffic and find ways to reduce congestion, accidents, pollution, etc., but there is room for improvement. This study attempts to analyze Isfahan traffic through clustering traffic time series of intersections to find similar locations in the city. The result of this study would help traffic managers define appropriate policies and tactics for managing similar intersections effectively, which brings about time and cost saving for both citizens and the government. © 2022 IEEE.