Abstract
This paper presents Adaptive Cruise Control (ACC) with look-ahead anticipation, based on the model of ACC used in recent commercial vehicles, to take early decisions in driving a vehicle on the freeway. The existing ACC found in the high-end cars has limited operating range as it often fails to respond smoothly in advance behind a decelerating vehicle. Although advanced techniques, such as model predictive control (MPC), can significantly improve a vehicle’s driving performance, they are associated with high computational complexity and have limited scopes for practical implementation. The proposed look-ahead anticipatory scheme of ACC predicts the relative states of the preceding vehicle using a conditional persistence prediction technique in an adaptive short horizon. With negligible computation cost, it determines the control input using parametric functions prudently for improving driving performance. The proposed scheme is evaluated on multiple vehicles in typical traffic scenarios to examine individual driving behavior and the stability of a vehicle string. Finally, we investigate the influences of a small part of vehicles with the proposed ACC on overall traffic using the AIMSUN traffic simulator and compare performances of overall traffic.
Highlights
Basic human car-following behavior and its impact on traffic stability have been studied extensively in various contexts [1,2,3,4]
The built-in fuel consumption model in AIMSUN with calibrated parameters based on the Ford Fiesta car, a light-duty vehicle with an internal combustion engine, is used for evaluation in this study [37]
For instant acceleration ap = 0 of the preceding vehicle, i.e., both vehicles are at equilibrium states, La-Adaptive cruise control (ACC) generates zero acceleration for any look-ahead horizon
Summary
Basic human car-following behavior and its impact on traffic stability have been studied extensively in various contexts [1,2,3,4]. The solution provides anticipatory car-following behavior that improves the driving efficiency of a vehicle by dynamically tuning spacing and speed In contrast to these advanced vehicle control, traditional ACC decides the vehicle control input according to the current state of the preceding vehicle; the vehicle cannot avoid aggressive braking often in varying traffic flow conditions [10,22]. The proposed ACC is implemented in a moving horizon fashion, where the control decision is taken considering a look-ahead horizon, but the process is repeated at a smalltime step that is a fraction of the horizon Such feedback features enable the ACC to adapt to the actual traffic conditions timely.
Sign-in/Register to view highlights & summary 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.
