Ihedioha Ahmed C., Eneh Ifeanyichukwu I.
This research concerns the control of an intelligent vehicle (robot) swarm. A formal engineering design synthesis methodology based on evolutionary computations which are common to encounter when design and optimization of distributed control systems such as intelligent vehicles are considered. The efficacy of the evolutionary design synthesis method is validated through multiple different case studies. More importantly, this automatic design synthesis method shows great potential to handle more complex design problems with a large number of design variables and multi-modal noise involved, where a good hand-coded solution may be very difficult or even impossible to obtain. Based on driver reaction time experimental results, new warning and overriding criteria are proposed in terms of the new measure, and the performance is analyzed statistically in terms of two typical sample pre-crash traffic scenarios.
Intelligent Vehicle, Design, Robot, Control