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- W4296367067 abstract "We study driver's optimal trajectory planning under uncertainty in the duration of a traffic light's green phase. We interpret this as an optimal control problem with an objective of minimizing the expected cost based on the fuel use, discomfort from rapid velocity changes, and time to destination. Treating this in the framework of dynamic programming, we show that the probability distribution on green phase durations gives rise to a sequence of Hamilton-Jacobi-Bellman PDEs, which are then solved numerically to obtain optimal acceleration/braking policy in feedback form. Our numerical examples illustrate the approach and highlight the role of conflicting goals and uncertainty in shaping drivers’ behavior." @default.
- W4296367067 created "2022-09-20" @default.
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- W4296367067 date "2022-01-01" @default.
- W4296367067 modified "2023-10-15" @default.
- W4296367067 title "Optimal Driving Under Traffic Signal Uncertainty" @default.
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- W4296367067 doi "https://doi.org/10.1016/j.ifacol.2022.08.076" @default.
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