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Different kinds of warning algorithms were used in the Frontal Collision Warning Systems (FCWS) for threat assessment, which were based on different kinds of kinematics measures of vehicles. In this paper, we discuss the required deceleration warning algorithm in two different situations, and consider a more complicated scenario. Based on field experiment data, we use an experienced driver's action...
Automatic mining of vehicle behaviors from raw data collected by multiple sensors provides meaningful qualitative descriptions of the vehicle status. These qualitative behavior descriptions can be used in scenario parsing and have further applications in vehicle surveillance and frontal collision warning systems. In current approaches, the number of behavior categories is supposed to be known, or...
It is well known that traffic systems are highly nonlinear. Previous research has shown the existence of the chaotic behavior in traffic flow data. However, the corresponding result in individual vehicle behavior has not been investigated. In this paper, we use tools of nonlinear time series analysis to explore the chaotic characteristic from data of individual vehicle behavior in car following. The...
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