A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
An approach to grouping traffic signals for coordination using clustering methods
Signal coordination is one of the most widely employed strategies to efficiently operate signal plans in a network. The impact on a network varies depending on signal plans as well as the spatial shape of coordination groups. Improper coordination groups may worsen the traffic flow and level of service Finding ideal decomposition points of an arterial is critical in a system-wide perspective. This study aims to propose a grouping method that identifies ideal breaking points for signalized corridors to improve the performance while minimizing traffic operators' subjective decision.
An approach to grouping traffic signals for coordination using clustering methods
Signal coordination is one of the most widely employed strategies to efficiently operate signal plans in a network. The impact on a network varies depending on signal plans as well as the spatial shape of coordination groups. Improper coordination groups may worsen the traffic flow and level of service Finding ideal decomposition points of an arterial is critical in a system-wide perspective. This study aims to propose a grouping method that identifies ideal breaking points for signalized corridors to improve the performance while minimizing traffic operators' subjective decision.
An approach to grouping traffic signals for coordination using clustering methods
Zhang, Lei (author) / Lee, Minha (author) / Chang, Hyoseuk (author) / Carrion, Carlos (author)
2017-06-01
400433 byte
Conference paper
Electronic Resource
English
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