Adaptive signal control is the subject of an increasing amount of research, development, and implementation. Most existing adaptive control systems achieve coordination by applying system control as a constraining layer on top of local control. Some researchers have suggested that, with the right local control logic, coordination might be achieved as a dynamically emergent phenomenon without the need for a management layer. This paper describes how the potential of a self-organizing signal control algorithm was explored with various performance measures. First, the initially reported algorithm performance was reproduced in an idealized environment; next, the algorithm was applied in a realistic road network to compare its performance with that of actuated coordinated control, with and without pedestrian phases. Comparisons were made under ( a) the same base volumes used to design the actuated coordinated timing plan and ( b) variant volumes. Self-organizing control was found to be more flexible than coordinated control and induced a performance trade-off between movement types. Delay reductions of 38% to 56% were observed in an environment with no pedestrian phase. However, with pedestrian phases in recall, self-organizing control performed worse (39% increase in delay) under base volumes and achieved a weak benefit (6% reduction in delay) under variant volumes. Because of the large total delay reductions in some scenarios, the results show promise for future development.


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    Title :

    Investigation of Self-Organizing Traffic Signal Control with Graphical Signal Performance Measures


    Additional title:

    Transportation Research Record


    Contributors:


    Publication date :

    2017-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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