A Digital-Driving System for Smart Vehicles

human driver or control the vehicle autonomously, they usually must make these decisions in real time with only incomplete information. So, human drivers still must maintain control over the vehicle. Advanced in-vehicle information systems (IVISs) endow vehicles with different types and levels of intelligence to complement the driver.2 Their introduction has allowed an almost symbiotic relationship between the driver and vehicle by providing a sophisticated, intelligent driver–vehicle interface—an ecological driver–vehicle interface.3 Within this interface, vehicle control depends wholly on cooperation between the driver and the IVISs through interactive communication through an intelligent road-trafficinformation network. We can call such control digitaldriving behavior, which consists of the driver and vehicle’s joint perception, decision making, and control. In this installment of Intelligent Transportation Systems, I sketch a digital-driving-behavior model. By simulating and analyzing driver behavior during different maneuvers such as lane changing, lane following, and traffic avoidance, researchers participating in the Beijing Institute of Technology’s digital-driving project will be able to examine the possible correlations or causal relations between the smart vehicle, IVISs, the intelligent road-traffic-information network, and the driver. We aim to successfully demonstrate that a digital-driving system can provide a direction for developing human-centered smart vehicles.