Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Simulating human lifting motions using fuzzy-logic control
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
Methodology for assessing adaptive cruise control behavior
IEEE Transactions on Intelligent Transportation Systems
Adaptive fuzzy control for inter-vehicle gap keeping
IEEE Transactions on Intelligent Transportation Systems
Research advances in intelligent collision avoidance and adaptive cruise control
IEEE Transactions on Intelligent Transportation Systems
The Heterogeneous Systems Integration Design and Implementation for Lane Keeping on a Vehicle
IEEE Transactions on Intelligent Transportation Systems
Design and stability analysis of single-input fuzzy logiccontroller
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Modeling of driver's collision avoidance maneuver based on controller switching model
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A model for types and levels of human interaction with automation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
On the Design of Safety Communication Systems for Vehicles
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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This paper presents a safe and comfortable longitudinal automation system which incorporates human-in-the-Ioop technology. The proposed system has a hierarchical structure that consists of an adaptive detection area, a supervisory control, and a regulation control. The adaptive detection area routes the information from on-board sensors to ensure the detection of vehicles ahead, particularly when driving on curves. Based on the recognized target distance from the adaptive detection area, the supervisory control determines the desired velocity for the vehicle to maintain safety and smooth operation in different modes. The regulation control utilizes a soft-computing technique and drives the throttle to execute the commanded velocity from the supervisory control. The feasible detection range is within 45 m, and the high velocity for the system operation is up to 100 km/h. The throttle automation under low velocity at 10-30 km/h can also be well managed by the regulation control. Numerous experimental tests in a real traffic environment exhibit the system's validity and achievement in the desired level of comfort through the evaluation of international standard ISO 2631-1.