Abstract
Stochastic dynamic programming (SDP) is applied to generate control policies that adjust vehicle speed to improve average fuel economy without degrading, significantly, the average travel speed. The SDP policies take into account statistical patterns in traffic speed and road topography. Specific problems of fuel efficient in-traffic driving and fuel efficient lead vehicle following are considered, and it is shown how these problems can be treated within an SDP framework. Simulation results are summarized to quantify fuel economy improvements, and experimental results are reported for the fuel efficient lead vehicle following case. The properties of vehicle speed trajectories induced by SDP policies are examined.
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The authors would like to thank Ford-University of Michigan Alliance for supporting this project.
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McDonough, K., Kolmanovsky, I., Filev, D., Szwabowski, S., Yanakiev, D., Michelini, J. (2014). Stochastic Fuel Efficient Optimal Control of Vehicle Speed. In: Waschl, H., Kolmanovsky, I., Steinbuch, M., del Re, L. (eds) Optimization and Optimal Control in Automotive Systems. Lecture Notes in Control and Information Sciences, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-319-05371-4_9
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DOI: https://doi.org/10.1007/978-3-319-05371-4_9
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