Abstract
This paper describes a new control behavior model of a following vehicle, based on dynamic system identification theory. The model’s parameters are estimated and updated at each sampling interval by an adaptive processor. Conceptually, speed of the preceding vehicle is used as system input, and speed of the following vehicle as system response. The speed relationship between the preceding and following vehicles is considered a dynamic system. If the system function can be identified at each sampling interval, then speed characteristics or response of the following vehicle can be forecast. This concept can be used to control vehicle headway, such as used in an automated vehicle control subsystem of an intelligent vehicle highway system.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
