“…In general, the autonomy, collaboration, and reactivity of agent-based models are the significant advantages to use for modeling different behaviors and interactions such as perception, reasoning, and decision-making, therefore performing different policies from the traffic planning, control, and management perspective. For instance, in transportation study areas, agent-based approaches have been widely used in traffic management frameworks [8][9][10][11], congestion management [12], traffic policy [13], traffic control, and especially traffic signal control [3,[14][15][16][17][18][19] in order to explore the complexity, interdependencies, and systematic structural evolution pattern under complex urban traffic environment [20].…”