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Time-to-approach-based model predictive controller for autonomous vehicle safety during unexpected wheelchairs on the path

Author

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  • Mhafuzul Islam
  • Mashrur Chowdhury
  • Mizanur Rahman
  • Zadid Khan

Abstract

The objectives of this study are to (i) develop a Time-to-Approach (TTA)-based Model Predictive Controller (MPC) for an Autonomous Vehicle (AV) to safely navigate around an unexpected wheelchair on its path and (ii) develop a prediction model to forecast a wheelchair's paths and potential collisions between it and an AV. Our analyses reveal that the TTA-based MPC enhances safety by reducing collision potential between an AV and a wheelchair by 44% when compared to the traditional distance-based MPC, as measured by the lateral deviation of an AV from the potential collision location. Furthermore, our approach improves passenger comfort by an average of 62% compared to the distance-based MPC.

Suggested Citation

  • Mhafuzul Islam & Mashrur Chowdhury & Mizanur Rahman & Zadid Khan, 2024. "Time-to-approach-based model predictive controller for autonomous vehicle safety during unexpected wheelchairs on the path," Cyber-Physical Systems, Taylor & Francis Journals, vol. 10(4), pages 318-339, October.
    • Handle: RePEc:taf:tcybxx:v:10:y:2024:i:4:p:318-339
    DOI: 10.1080/23335777.2023.2264347
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