Testing the Reliability of Traffic Node with Low-Dimensional Attractor Analysis

The application of low dimensional attractor analysis and chaos theory represents a novel approach in the autonomous vehicle industry. This paper investigates the possibility of the evaluation of the traffic node reliability and representing it through dimensional attractors. This paper demonstrates the application of Euler-Lagrange equations and introduces a nonlinear solution framework, while defining the system's completeness through the use of correlation dimensions. The traffic system is analyzed under various scenarios, with the reliability and system parameters defined for each case.