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

TL;DR

This paper uses entropic analysis to evaluate how policies like traffic lights and flyovers reduce disorder and conflicts at traffic intersections, drawing parallels with 12-qubit quantum systems to inform AI policy formulation.

Contribution

It introduces Conflict Entropy as a metric for traffic disorder and demonstrates how policies can eliminate it, linking traffic systems with quantum models for novel insights.

Findings

Policies reduce Conflict Entropy at intersections.

Complete elimination of Conflict Entropy achieved with certain strategies.

Quantum system analogy offers new perspective on traffic flow analysis.

Abstract

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