Intelligent vehicle control considering driver's visual perception

This paper proposes a model of driving environment, driver and vehicle behavior interaction as a tool for analyzing and designing a vehicle controller and vehicle control characteristics adapted to the driving environment and driver's intentions. This interaction model incorporates Petri net form using the hierarchical fuzzy integral as a multipurpose decision-making technique. The characteristic of driver's cognition of the driving environment is treated as affordance. As an example, a control procedure designed with the proposed model is applied to automatic engine braking control during downhill coasting. The simulation results show good agreement with driving test results.