Learning Drivers’ Behavior to Improve Adaptive Cruise Control
نویسندگان
چکیده
منابع مشابه
Learning Drivers' Behavior to Improve Adaptive Cruise Control
Adaptive Cruise Control (ACC) is a technology that allows a vehicle to automatically adjust its speed to maintain a preset distance from the vehicle in front of it based on the driver’s preferences. Individual drivers have different driving styles and preferences. Current systems do not distinguish among the users. We introduce a method to combine machine learning algorithms with demographic in...
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Adaptive Cruise Control (ACC) is a technology that allows a vehicle to automatically adjust its speed to maintain a preset distance from the vehicle in front of it based on the driver’s preferences. Individual drivers have different driving styles and preferences. Current systems do not distinguish among the users. We introduce a method to combine machine learning algorithms with demographic in...
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Abstract. This work address the general problem of resilient control of unknown stochastic linear time-invariant (LTI) systems in the presence of sensor attacks. Motivated by a vehicle cruise control application, this work considers a first order system with multiple measurements, of which a bounded subset may be corrupted. A frequency-domain-designed resilient adaptive controller is introduced...
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Adaptive Cruise Control (ACC) is assumed to have a potential to improve quality-of-service and safety and to reduce the environmental impact of the road traffic system. This paper use vehicle trajectories from traffic simulation to study impacts of ACC on vehicle acceleration and deceleration rates. The analysis is based on traffic simulations with car-following models including ACC functionali...
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ژورنال
عنوان ژورنال: Journal of Intelligent Transportation Systems
سال: 2014
ISSN: 1547-2450,1547-2442
DOI: 10.1080/15472450.2014.889960