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Entropic analysis of a scenario at a traffic intersection is attempted indetail. The model is utilized to define Conflict Entropy. It is shown that withthe use of strategies (policies) like installing traffic lights andconstruction of flyovers the Entropy is reduced thereby making the trafficordered. It is shown that these policies help in reducing the Entropy andeliminating the Conflict Entropy completely in both the cases. Such an analysiscan find immense application in deciding a favorable policy and in formulationof artificial intelligence algorithms. A striking similarity of the trafficintersection is found with Quantum systems of twelve qubits that opens up a newscope of study of traffic flows to understand the behavior of Quantum Systems.

Entropic Analysis to Assess impact of Policies on Disorders and  Conflicts within a system: Case Study of Traffic intersection as 12-Qubit  Social Quantum System