Subtractive Clustering-Based K-means Technique for Determining Optimum Time-of-Day Breakpoints

Abstract

In many countries, the most widely used method for timing plan selection and implementation is the time-of-day (TOD) method. In TOD mode, a few traffic patterns that exist in the historical volume data are recognized and used to find the signal timing plans needed to achieve optimum performance of the intersections during the day. Traffic engineers usually determine TOD breakpoints by analyzing 1 or 2 days worth of traffic data and relying on their engineering judgment. The current statistical methods, such as hierarchical and