Identifying Stop and Go Traffic in Trajectory of Vehicle Platoon Based on Asymmetric Theory

Analyzing stop and go traffic that observes unexpected reasons on freeways is important for modeling generation and growth oscillation and estimate congestion effects on traffic flow. Numerous theories on traffic have been developed as traffic congestion gains to model congestion traffic, many traffic theorists have adopted theories from other fields such as fluid mechanics and thermodynamics. However, these theories cannot explain the complicated driving behavior patterns from the fluid mechanics’ perspective. In these paper, because stop and go traffic identify at a microscopic level and based on asymmetric theory and trajectory data of NGSIM, traffic flow state can be classified into five phases according to speed and movement of the vehicle: Free flow, acceleration, deceleration, stationary and coasting phases and also, traffic flow departs between boundaries of acceleration and deceleration phases. Based on asymmetric theory can analyze driver’s behavior responses: maneuvering errors and anticipation, and also life cycle of stop-and-go Traffic can demonstrate three cases: Generation, Growth, Dissipation.