Study focuses on monitoring the timegap, a key parameter that dictates the desired following spacing of thecontrolled vehicle . The goal is to monitor deviations in actual time gap from adesired setting and detect when it deviates beyond a control limit . A control chart is then adopted to systematically set the control limits and inform when the time gap setting should be changed . A randomcoefficient modeling is developed to systematically capture the stochasticdistribution of time gap and derive a closed-form Bayesian updating schemefor real-time inference . Simulation experiments are performed to demonstrate the effectiveness of the proposed method for monitoring time gap . Simulations are performed .

Author(s) : Wissam Kontar, Soyoung Ahn

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Keywords : time - gap - monitoring - control - setting -

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