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Modeling, Design and Implementation of Longitudinal Control Algorithm for Automated Vehicle Merging

Author

Listed:
  • Lu, Xiao-Yun
  • Tan, Han-Shue
  • Shladover, Steven E.
  • Hedrick, J. Karl

Abstract

This report presents the work on the development of the regulation layer for automated merging. It includes system modeling, control system synthesis, theoretical analysis and real-rime implementation and field test. The essential part is a rather general adaptive merging algorithm. Key words: automated highway systems, advanced vehicle merging maneuvers, automated vehicle merging maneuvers, longitudinal control, speed control, distance control, vehicle platooning, virtual platooning, adaptive realtime merging algorithm, back-stepping control, magnet distance measurement

Suggested Citation

  • Lu, Xiao-Yun & Tan, Han-Shue & Shladover, Steven E. & Hedrick, J. Karl, 2000. "Modeling, Design and Implementation of Longitudinal Control Algorithm for Automated Vehicle Merging," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9sn473bg, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt9sn473bg
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    Cited by:

    1. Lu, Xiao-Yun & Joo, Sungmoon & Hedrick, Karl, 2004. "Coordination Layer Control Design for Automated Trucks and Buses," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0h0970qv, Institute of Transportation Studies, UC Berkeley.
    2. Liu, Huaqing & Jiang, Rui, 2021. "Improving comfort level in traffic flow of CACC vehicles at lane drop on two-lane highways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 575(C).

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