Abstract A standard traffic light scheduler applies fixed time intervals for the green lights. This might sometimes result in traffic congestion and blocking of roads. To overcome this problem, this paper obtains a solution for scheduling the traffic light using a multiple linear regression model. This paper presents a model of how to achieve a traffic light schedule which is more efficient in terms of the number of vehicles stopping at the red light in each direction, and more effective to reduce traffic congestion as compared to traditional scheduling methods. Green time is the amount of time a directional light will have a green signal. This work presents an algorithm and a model to analyze the traffic density at different times and predict the green time for each directional traffic light such that the probability of traffic congestion is reduced and orderly flow of vehicles on the road is achieved. After applying this model, the number of vehicles stopping at the red light at a given time decrease by around 11%.


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    Titel :

    Intelligent Traffic Light Scheduling Using Linear Regression


    Beteiligte:


    Erscheinungsdatum :

    19.09.2018


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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