Rule-based cognitive animation simulator of fallible drivers around intersection

Group behaviors of car drivers around a double-lane intersection are animated by a cognitive simulator. A situation tree is constructed to analyze the driving situations into successively more basic ones. Driving activities specific to each basic situation is analyzed as a subtree of a general activity tree. A resultant expanded situation tree is traced at each sampling time. If-then rules are used to represent feasibility conditions of each microscopic transition from a parent node to a child node in the expanded tree. Each trace path is a sequential arrangement of these transitions. If-part conditions are clarified and animation results are demonstrated. Traffic accidents are initiated by mistakes (if-part errors) and slips (then-part errors). Mistakes are omission and commission errors during intention formations. The commission errors are further classified into external and internal errors. Internal errors are risk-prone because they are related to parameters in if-part conditions attributable to drivers personality.<>