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@article{150229,
        author = {Jonathan Tagore and K Hari Krishna},
        title = {Evaluation Of Bidirectional Coefficient Of Causation Between Red And Green Signal Time For Varying Traffic Volumes},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {4},
        pages = {147-156},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=150229},
        abstract = {In this research investigation, the author has evaluated Bi-Directional Coefficient of Causation Values between Red & Green Signal Time for Varying Traffic Volumes. The motivation for doing so is to know which Signal Colour (the Colours being Red & Green) is the Causation for another Signal Colour, so that we can design the minimization of the Undesirable Signal Times, according to context of concern. Furthermore, we can also design the correct Sequence of Signal Colours so that the Undesirable Signal Causation and its Time is also Minimized. This research however focuses only on the Evaluation of the aforementioned Bi-Directional Coefficient of Causation Values between Red & Green Signal Time For Varying Traffic Volumes, which Signal Colour causes which other Signal Colour for each of the cases Varying Signal Cycle Lengths and Varying Traffic Volumes and finally which Signal Colour should precede which other Signal Colour so as to Minimize Undesirable Causation, i.e., Undesirable Signal Colour Time. Also, a Computer Program is written to this end in R Programming Language. The Signal Cycle Lengths (Red Signal Time + Green Signal Time, for Maximum Traffic Volume case) are 50, 60, 70, 80, 90, 100, 110 and 120 seconds Cycle Length and the Traffic Volumes (Phase Volume Per Lane i.e., Veh/Hr/Ln) are considered in the Volumes of 100, 200, 300, 400, 500, 600, 700 and 800.},
        keywords = {Bi-Directional Coefficient of Causation, Red Signal Time, Green Signal Time, Orange Signal Time},
        month = {},
        }