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- W576783119 abstract "To ensure the effective operation of a traffic signal system, different signal timings should be designed to accommodate the variation of the traffic patterns. One of the greatest challenges is to identify appropriate time-of-day (TOD) breakpoints, where different signal timings could be implemented during the time periods between two consecutive breakpoints. This research presents an advanced cluster analysis to identify TOD for coordinated semi-actuated mode where the operations of multiple intersections need to be considered simultaneously. Different from previous studies, the proposed methodology considers the time of traffic occurring as one dimension of the clustering and incorporates the hierarchical clustering and K-means clustering, which significantly improves the performance of the method. A case study with traffic information of a corridor in Tampa, Florida, is conducted to demonstrate the operability of the new method. The results of traffic simulation reported in this paper reveal that the proposed procedure performs better than the existing TOD signal timing plans." @default.
- W576783119 created "2016-06-24" @default.
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- W576783119 date "2012-01-01" @default.
- W576783119 modified "2023-09-23" @default.
- W576783119 title "Cluster Analysis-Based Procedure to Identify Time-of-Day Breakpoints for Coordinated Semi-actuated Traffic Signal System" @default.
- W576783119 hasPublicationYear "2012" @default.
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