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A proposed car-following model taking into account the effect of driving memory on driver anticipatory behavior
Abstract
This paper develops a car-following model, taking into account the effect of driving memory on driver anticipatory behavior. Changes in driving headway and short-term driving memory are introduced as influencing factors in driver anticipatory behavior. First, we use the linear stability to study the efficiency of the model and the stability conditions. Then via numerical simulation, all three phases of traffic evolution are studied separately. The simulation results show that taking into account the effect of driving memory on driver anticipatory behavior has a positive influence on driving behavior. In fact, drivers can reduce the speed of their vehicle faster and more easily. Thus, it can help reduce fuel consumption and improve road safety in the three phases of traffic evolution.
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