An urban traffic control system is presented using an optimization model for signalized areas. A discrete time model for urban traffic networks proposed in the related literature is modified in order to take into account some real aspects of traffic. The model is embedded in a real time controller that solves an optimization problem from the knowledge of some measurable inputs. Hence, the controller determines the signal timing plan on the basis of technical, physical, and operational constraints. The main decision variables in a timing plan are cycle time, green splits and offset. Cycle time is defined as the duration of time from the centre of the red phase to the centre of the next red phase. Green splits for a signal in a given direction of movement are defined as the fraction of cycle time when the light is green in that direction. Moreover, offset is defined as the duration from the start of a green phase at one signal to the following nearest start (in time) of a green phase at the other signal. An urban traffic actuated control strategy is recommended to determine in real time the green splits for a fixed cycle time in order to minimize the number of vehicles in queue in the considered signalized area. Finally, the actuated control strategy is applied to a case study representing a real signalized area with severe traffic congestion, located in the urban area of Bari (Italy), which includes two coordinated intersections. On the basis of limited traffic observations, appropriate selections of offset and optimal choice of the green phases are performed under different congestion scenarios.


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    Titel :

    A signal timing plan formulation for urban traffic control


    Weitere Titelangaben:

    Zeitplanung der Signalanlagen zur städtischen Verkehrssteuerung


    Beteiligte:

    Erschienen in:

    Control Engineering Practice ; 14 , 11 ; 1297-1311


    Erscheinungsdatum :

    2006


    Format / Umfang :

    15 Seiten, 7 Bilder, 10 Tabellen, 17 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




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