International Conference on Computer and Knowledge Engineering

Home / 12th International Conference on Computer and Knowledge Engineering

City Intersection Clustering and Analysis Based on Traffic Time Series

Authors :

Mohammad Aminazadeh¹ Fakhroddin Noorbehbahani²

1- university of isfahan 2- university of isfahan

Keywords :

Time Series Clustering،City Intersection Clustering،Time Series Visualization،Traffic Management

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, etc., but there is room for improvement. This study attempts to cluster city intersections based on their traffic time series to find similar places in the city. The result of this study would help traffic managers have specified policies and behaviors for each group of intersections, which tremendously reduces cost and increases the efficiency of results.