OPTIMAL ADAPTIVE CRUISE CONTROL WITH GUARANTEED STRING STABILITY
A two-level Adaptive Cruise Control (ACC) synthesis method is presented in this paper. At the upper level, desired vehicle acceleration is computed based on vehicle range and range rate measurement. At the lower (servo) level, an adaptive control algorithm is designed to ensure the vehicle follows the upper level acceleration command accurately. It is shown that the servo-level dynamics can be included in the overall design and string stability can be guaranteed. In other words, the proposed control design produces minimum negative impact on surrounding vehicles. The performance of the proposed ACC algorithm is examined by using a microscopic simulation program - ACCSIM created at the University of Michigan. The architecture and basic functions of ACCSIM are described in this paper. Simulation results under different ACC penetration rate and actuator/engine bandwidth are reported. (A)
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00423114
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Corporate Authors:
Swets & Zeitlinger
P.O. Box 825
2160 SZ Lisse, Netherlands -
Authors:
- LIANG, C-Y PENG
- Publication Date: 1999-11
Language
- English
Media Info
- Features: References;
- Pagination: p. 313-30
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Serial:
- Vehicle System Dynamics
- Volume: 31
- Issue Number: 4-5
- Publisher: Taylor & Francis
- ISSN: 0042-3114
- EISSN: 1744-5159
- Serial URL: https://www.tandfonline.com/toc/nvsd20/current
Subject/Index Terms
- TRT Terms: Calculation; Driver support systems; Intelligent transportation systems; Methodology; Motor vehicle navigational aids; Speed control; Vehicles
- ITRD Terms: 6464: Calculation; 8743: Driver assistance system; 8735: Intelligent transport system; 9102: Method; 2833: Speed control (struct elem); 1255: Vehicle
- Subject Areas: Operations and Traffic Management; Vehicles and Equipment;
Filing Info
- Accession Number: 00782766
- Record Type: Publication
- Source Agency: Transport Research Laboratory
- Files: ITRD
- Created Date: Feb 7 2000 12:00AM