Searched for: subject%3A%22traffic%255C+models%22
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Li, G. (author), Li, Zirui (author), Knoop, V.L. (author), van Lint, J.W.C. (author)
Predicting the trajectories of road agents is fundamental for self-driving cars. Trajectory prediction contains many sources of uncertainty in data and modelling. A thorough understanding of this uncertainty is crucial in a safety-critical task like auto-piloting a vehicle. In practice, it is necessary to distinguish between the uncertainty...
journal article 2024
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Looman, Menno (author)
Traditionally, Event-Triggered Control (ETC) methods are sample-and-hold control schemes that implement a triggering condition in order to reduce the number of control updates. Given a decay rate of the Lyapunov function, they focus on minimizing the (average) Inter-Sample Time (IST). In this thesis, we focused on the scheduling of Periodic...
master thesis 2023
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Shiomi, Y. (author), Li, G. (author), Knoop, V.L. (author)
Traffic dynamics on freeways are stochastic in nature because of errors in perception and operation of drivers as well as the heterogeneity between and within drivers. This stochasticity is often represented in car-following models by a stochastic term, which is assumed to follow a normal distribution for the convenience of mathematical...
journal article 2023
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Nadi Najafabadi, A. (author), Sharma, Salil (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author), Snelder, M. (author)
This paper proposes a data-driven transport modeling framework to assess the impact of freight departure time shift policies. We develop and apply the framework around the case of the port of Rotterdam. Container transport demand data and traffic data from the surrounding network are used as inputs. The model is based on a graph convolutional...
journal article 2022
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van Baarle, Ilmo (author)
Covid-19 has proven how uncertain the future can be. However, traffic models fail to fully acknowledge this uncertainty. Therefore, decisions made based on these models are not very robust. In this research, Robust Decision Making (RDM) method is applied on a macro-level traffic model made for the municipality of Groningen. This method,...
master thesis 2021
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Ceylan, Berkan (author)
The Netherlands faces the challenge, especially in the coming years, of coping with the continuous increase in traffic volumes and reducing the number of road casualties. A way to tackle this challenge is by constructing unconventional (American) designs, which aim to reduce travel time and improve traffic safety by rerouting left-turns. This...
master thesis 2021
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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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Mullakkal-Babu, F.A. (author), Wang, M. (author), van Arem, B. (author), Shyrokau, B. (author), Happee, R. (author)
Current lane-based microscopic traffic simulators combine car-following and lane changing logic to describe the (often discrete) lateral vehicle motion on multi-lane road segments. However, the simulated lateral trajectories are physically unplausible and inside-lane behavior such as lane-keeping and curve negotiation cannot be modelled. In this...
journal article 2021
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Calvert, S.C. (author), Schakel, W.J. (author), van Lint, J.W.C. (author)
The inclusion of human factors (HF) in mathematical models is proving crucial to allow complex driving behaviour and interactions to be explicitly considered to capture driving phenomena. An important area where such integration is required is for the role of anticipation by drivers to compensate for critical traffic situations. In this paper...
journal article 2020
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van der Gun, J.P.T. (author)
Emergencies disrupting urban transportation systems cause management problems for authorities. This thesis develops simulation methods that permit analysis thereof and evaluation of candidate management plans, tested in three case studies. It formulates a methodological framework using agent-based choice models and multimodal macroscopic dynamic...
doctoral thesis 2018
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Calvert, S.C. (author), van Wageningen-Kessels, F.L.M. (author), Hoogendoorn, S.P. (author)
The capacity drop forms a major reason why the prevention of congestion is targeted by traffic management, as lower capacities are detrimental to traffic throughput. Various reasons describing the dynamics behind the capacity have been described, however one of these, reaction times, has had less explicit attention when modelling 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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Dominguez Frejo, J.R. (author), Papamichail, Ioannis (author), Papageorgiou, Markos (author), De Schutter, B.H.K. (author)
This paper proposes a new macroscopic model for Variable Speed Limits (VSLs), combining characteristics of previously proposed models, in order to have the capability of modeling different capacities, critical densities, and levels of compliance for links affected by speed limits. Moreover, the effects of VSLs on the fundamental diagram of...
journal article 2018
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Liu, S. (author)
In Model Predictive Control (MPC) for traffic networks, traffic models are crucial since they are used as prediction models for determining the optimal control actions. In order to reduce the computational complexity of MPC for traffic networks, macroscopic traffic models are often used instead of microscopic traffic models. These macroscopic...
doctoral thesis 2016
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van der Gun, J.P.T. (author), Pel, A.J. (author), van Arem, B. (author)
While agent-based modelling of traffic demand is gaining attention, a macroscopic dynamic network loading model may be beneficial, particularly in large-scale applications. We investigate the implications of coupling such models, with inclusion of en-route choices, for the modelling of links and the determination of turning fractions, yielding...
conference paper 2016
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Goni-Ros, B. (author)
Sag vertical curves (sags) are roadway sections along which the gradient increases gradually in the direction of traffic. Empirical observations show that, on freeways, traffic congestion often occurs at sags; actually, in some countries (e.g., Japan), sags are one of the most common types of freeway bottleneck. This thesis is the outcome of a...
doctoral thesis 2016
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Spruijt, C.J. (author)
master thesis 2016
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Portilla, C (author), Valencia, F (author), Espinosa, J (author), Nunez, Alfredo (author), De Schutter, B.H.K. (author)
In this paper, a model predictive control approach for improving the efficiency of bicycling as part of intermodal transportation systems is proposed. Considering a dedicated bicycle lanes infrastructure, the focus in this paper is to optimize the dynamic interaction between bicycles and vehicles at the multimodal urban traffic intersections. In...
journal article 2016
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Benaich, H.A.G. (author)
master thesis 2015
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Mouter, N. (author), Holleman, M. (author), Calvert, S.C. (author), Annema, J.A. (author)
An important limitation of Cost-Benefit Analysis (CBA) is the inherent uncertainty in estimations of future welfare effects. In this paper, we argue that consideration of the ‘price-quality’ dilemma and the ‘communication’ dilemma is useful to explain and improve the handling of uncertainty in CBA. The ‘price-quality’ dilemma refers to the trade...
journal article 2015
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