Abstract
The proposed Event-Driven Adaptive Cruise Controller (EDACC) serves as longitudinal driver assistant by accelerating, decelerating, and stopping the host vehicle given the readings of various sensors. EDACC uses a simplified non-linear longitudinal vehicle model and a hierarchical control structure of PI and PID controllers integrated with an embedded specific logic. In addition to the adaptability of the ACC, events can be added such as host vehicle entering speed-limit zone and/or having punctured tire. The proposed EDACC is designed and implemented using Matlab and Simulink to simulate multiple scenarios.
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Jreijiry, J., Khaldi, M. (2016). An Event-Driven Adaptive Cruise Controller. In: Fujita, H., Ali, M., Selamat, A., Sasaki, J., Kurematsu, M. (eds) Trends in Applied Knowledge-Based Systems and Data Science. IEA/AIE 2016. Lecture Notes in Computer Science(), vol 9799. Springer, Cham. https://doi.org/10.1007/978-3-319-42007-3_83
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DOI: https://doi.org/10.1007/978-3-319-42007-3_83
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