Searched for: subject%3A%22urban%255C+traffic%255C+network%22
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Bottemanne, Max (author)
Urban areas with many daily commuters often experience a reduction in traffic flow during rush hours. In some urban areas where this reduction in traffic flow occurs, there are popular destinations for leisure that have multiple large parking facilities. Vehicles searching for vacant parking spots drive at a lower vehicle speed, reducing the...
master thesis 2022
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Li, D. (author), De Schutter, B.H.K. (author)
Data-driven control without using mathematical models is a promising research direction for urban traffic control due to the massive amounts of traffic data generated every day. This article proposes a novel distributed model-free adaptive predictive control (D-MFAPC) approach for multiregion urban traffic networks. More specifically, the...
journal article 2022
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Liu, S. Y. (author), Lin, S. (author), Wang, Y. B. (author), De Schutter, B.H.K. (author), Lam, W. H.K. (author)
In order to better understand the stochastic dynamic features of signalized traffic networks, we propose a Markov traffic model to simulate the dynamics of traffic link flow density for signalized urban traffic networks with demand uncertainty. In this model, we have four different state modes for the link according to different congestion...
journal article 2021
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Reggiani, G. (author), van Oijen, T.P. (author), Hamedmoghadam, Homayoun (author), Daamen, W. (author), Vu, Hai L. (author), Hoogendoorn, S.P. (author)
A fully separated bicycle network from vehicular traffic is not realistic even for the most bicycle-friendly cities. Thus, all around the world urban cycling entails switching between streets of different safety, convenience, and comfort levels. As a consequence, the quality of bicycle networks should be evaluated not based on one but multiple...
journal article 2021
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van de Weg, Goof Sterk (author), Vu, Hai L. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author)
In this paper, we develop a hierarchical approach to optimize the signal timings in an urban traffic network taking into account the different dynamics in all traffic regimes. The proposed hierarchical control framework consists of two layers. The first layer--the network coordination layer--uses a model predictive control strategy based on a...
journal article 2018
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Lin, S. (author), Pan, T. L. (author), Lam, W.H. (author), Zhong, R. X. (author), De Schutter, B.H.K. (author)
In order to investigate the stochastic features in urban traffic dynamics, we propose a Stochastic Link Flow Model (SLFM) for signalized traffic networks with demand uncertainties. In the proposed model, the link traffic state is described using four different link state modes, and the probability for each link state mode is determined based...
journal article 2018
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Jansen, D. (author)
In the last decades there has been a significant increase of traffic demand in urban areas due to the development of the economy and the increase of population. The increase in traffic demand leads to a more congested road network. Congestion causes unwanted delays, resulting in higher travel costs, noise, and pollution. Popular methods to...
master thesis 2016
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Lin, S. (author)
Model Predictive Control is applied to control and coordinate large-scale urban traffic networks. However, due to the large scale or the nonlinear, non-convex nature of the on-line optimization problems solved, the MPC controllers become real-time infeasible in practice, even though the problem is solvable in theory. In this thesis, we mainly...
doctoral thesis 2011
Searched for: subject%3A%22urban%255C+traffic%255C+network%22
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