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Han, Y. (author), Hegyi, A. (author), Yuan, Y. (author), Roncoli, Claudio (author), Hoogendoorn, S.P. (author)
This paper extends an existing linear quadratic model predictive control (LQMPC) approach to multi-destination traffic networks, where the correct origin-destination (OD) relations are preserved. In the literature, the LQMPC approach has been presented for efficient routing and intersection signal control. The optimization problem in the...
journal article 2018
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Wang, Y. (author), Homem de Almeida Correia, G. (author), de Romph, E. (author), Lopes Dos Santos, B.F. (author)
journal article 2018
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van der El, K. (author), Padmos, S. (author), Pool, D.M. (author), van Paassen, M.M. (author), Mulder, M. (author)
In manual control tasks, preview of the target trajectory ahead is often limited by poor lighting, objects, or display edges. This paper investigates the effects of limited preview, or preview time, in manual tracking tasks with single- and double-integrator controlled element dynamics. A quasi-linear human controller model is used to predict...
journal article 2018
document
Pool, E.A.I. (author), Kooij, J.F.P. (author), Gavrila, D. (author)
We learn motion models for cyclist path prediction on real-world tracks obtained from a moving vehicle, and propose to exploit the local road topology to obtain better predictive distributions. The tracks are extracted from the Tsinghua-Daimler Cyclist Benchmark for cyclist detection, and corrected for vehicle egomotion. Tracks are then...
conference paper 2017
document
Kolekar, S.B. (author), de Winter, J.C.F. (author), Abbink, D.A. (author)
The interaction between a human driver and an automated driving system may improve when the automation is designed in such a way that it behaves in a human-like manner. This paper introduces a human-like steering model, in which the driver adapts to the risk due to uncertainty in the environment. Current steering models take a risk-neutral...
conference paper 2017
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