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Conference Papers Year : 2016

Speed Profile Generation based on Quintic Bezier Curves for Enhanced Passenger Comfort

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Abstract

Automated ground vehicles are becoming a reality for future deployment due to their potential improvement of safety, comfort or emission reductions. However, some challenges remain unsolved such as navigation in dynamic urban environments, where safety and comfort are paramount. In this paper, a novel speed profile generator, based on quintic Bezier curves, is presented. This approach permits to improve the comfort in automated vehicles by constraining the global acceleration in the whole ride. Moreover, a comparison with a Jerk limitation algorithm for continuous acceleration profile and a smooth speed profile is performed. The quintic Bezier curves assure C² continuity of velocity curves and therefore a smooth Jerk and acceleration profiles. The ISO 2631-1 standard, for evaluation of human exposure to whole body vibration, is considered in both methods for lateral and longitudinal comfort constraints. Simulations show that this approach improves comfort by smoothing the acceleration and jerk profiles, while also constraining the total acceleration perceived by the passengers.
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Dates and versions

hal-01388396 , version 1 (26-10-2016)

Identifiers

  • HAL Id : hal-01388396 , version 1

Cite

David Gonzalez Bautista, Vicente Milanés, Joshué Pérez Rastelli, Fawzi Nashashibi. Speed Profile Generation based on Quintic Bezier Curves for Enhanced Passenger Comfort. 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016), Nov 2016, Rio de Janeiro, Brazil. ⟨hal-01388396⟩

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