Data Driven Driving Behavior and Strategy for Microscopic Traffic Flow Simulation in Complex Intersections

Autonomated driving has emerged as a transformative force in the automotive industry, promising safer, more efficient, and convenient transportation. However, many significant points still should be solved urgently. One of the most challenging points for automated vehicles is how to deal with the situations in complex intersections, where traffic signals, pedestrian crossings, and varying road geometries create a dynamic and potentially hazardous environment. This intersection between technology and urban infrastructure represents a critical juncture in the realization of fully automated driving capabilities. To well implement the algorithms and verify if the algorithms could handle different cases in complex intersections, it is necessary to use a simulator so that we can avoid some significantly accident risk in real road test. In this discussion, we delve into how to simulate an intricate world of automated driving behavior within complex intersections so that algorithms and methods could be completely and robustly verified to drive progress in this field.