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- W906202421 abstract "Traffic simulations have traditionally used strictly deterministic, differential-equation-based, models of driving processes. Human decision making is, however, a linguistically structured rule-based process where desired outcomes are only approximately defined. The nature of human reasoning is thus better captured by fuzzy-inference logic, which this project uses to model driving behavior. Individualized fuzzy inference models of different types of drivers have been developed and incorporated into the TRAF-NETSIM microscopic traffic flow simulation environment. Users can now choose this fuzzy inference based driver decision model as an option when running TRAF-NETSIM to simulate more realistic vehicle motion accuracy." @default.
- W906202421 created "2016-06-24" @default.
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- W906202421 modified "2023-09-27" @default.
- W906202421 title "FUZZY INFERENCE-BASED DRIVER DECISION PROCESSES AND TRAFFIC FLOW SIMULATION" @default.
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