Enhanced emotion enabled cognitive agent-based rear-end collision avoidance controller for autonomous vehicles:

摘要: Amongst collisions, rear-end collisions are the deadliest. Several collision avoidance solutions have been proposed recently in literature. A key problem with existing is their dependence on precise mathematical models. However, real world driving influenced by a number of nonlinear factors. These include road surface conditions, driver reaction time, pedestrian flow, and vehicle dynamics. factors involve so many different variations that hard to obtain, if not impossible. This control-based schemes has also previously addressed using fuzzy logic, but excessive rules straightforwardly prejudices efficiency. Furthermore, such logic-based controllers without use an appropriate modeling technique. One technique agent-based modeling. suitable because it allows for mimicking functions arti...