Searched for: subject:"traffic"
(1 - 20 of 248)

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Sunil, E. (author)
The current system of Air Traffic Control (ATC) relies on a centralized control architecture. At its core, this system is heavily dependent on manual intervention by human Air Traffic Controllers (ATCos) to ensure safe operations. The capacity of this system is, therefore, closely tied to the maximum workload that can be tolerated by ATCos....
doctoral thesis 2019
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Nguyen, T.T. (author), Krishnakumari, P.K. (author), Calvert, S.C. (author), Vu, Hai L. (author), van Lint, J.W.C. (author)
Classification of congestion patterns is important in many areas in traffic planning and management, ranging from policy appraisal, database design, to prediction and real-time control. One of the key constraints in applying machine learning techniques for classification is the availability of sufficient data (traffic patterns) with clear and...
journal article 2019
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Knoop, V.L. (author), Taale, Henk (author), Meulenberg, Michel (author), van Erp, P.B.C. (author), Hoogendoorn, S.P. (author)
Demand exceeding the capacity of a bottleneck will create congestion upstream of that bottleneck. Once this congestion occurs, the maximum flow through this bottleneck decreases (capacity drop). By limiting the flow towards the bottleneck, one can prevent or postpone the capacity drop and the accompanying congestion. In case the bottleneck is...
conference paper 2019
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van de Weg, G.S. (author), Hegyi, A. (author), Hoogendoorn, S.P. (author), De Schutter, B.H.K. (author)
Freeway congestion can reduce the freeway throughput due to the capacity drop or due to blocking caused by spillback to upstream ramps. Research has shown that congestion can be reduced by the application of ramp metering and variable speed limits. Model predictive control is a promising strategy for the optimization of the ramp metering...
journal article 2019
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Zheng, Huarong (author), Wu, Jun (author), Wu, Weimin (author), Negenborn, R.R. (author)
The rapidly developing computing and communication technologies improve the autonomy of individual vehicles on the one hand and facilitate the coordination among vehicles on the other. In the context of dynamic speed management, this study considers a platoon of intelligent vehicles that are required to maintain desired inter-vehicle spaces and...
journal article 2019
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Rieger, V.S. (author)
Emissions of road traffic crucially influence Earth’s climate. The vehicle fleet emits not only carbon dioxide (CO2), but also nitrogen oxides (NOx), volatile organic compounds (VOC) and carbon monoxide (CO) which produce ozone (O3) and destroy methane (CH4) in the troposphere. As the demand of mobility is expected to further increase in future,...
doctoral thesis 2018
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Brederode, L.J.N. (author), Verlinden, Kurt (author)
In strategic transport models, road travel demand matrices are usually estimated using estimation methods that fuse prior or synthetic travel demand matrices with flow data observed on individual roads (‘links’) in the network. On the one hand, ever more data on flows, speeds and/or densities on link level is available, driven by technological...
conference paper 2018
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Sunil, E. (author), Ellerbroek, J. (author), Hoekstra, J.M. (author)
This paper presents analytical models that describe the safety of unstructured and layered en route airspace designs. Here, ‘unstructured airspace’ refers to airspace designs that offer operators complete freedom in path planning, whereas ‘layered airspace’ refers to airspace concepts that utilize heading-altitude rules to vertically separate...
journal article 2018
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van Doorn, E.C. (author)
The main challenge of operators working with complex information systems is to gain sufficient situation awareness (SA). In this research project, we developed an analysis scheme to support a holistic study of SA. This analysis scheme was complemented with a method to process cognitive task analysis and observational research data to identify...
doctoral thesis 2018
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van Erp, P.B.C. (author), Knoop, V.L. (author), Hoogendoorn, S.P. (author)
This article presents a procedure to estimate the macroscopic traffic state in a pre-defined space-time mesh using relative flow data collected by stationary and moving observers. The procedure consist of two consecutive and independent processes: (1) estimate point observations of the cumulative vehicle number in space-time, i.e., N(x, t),...
journal article 2018
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Xie, X. (author), van Lint, J.W.C. (author), Verbraeck, A. (author)
With trajectory data, a complete microscopic and macroscopic picture of traffic flow operations can be obtained. However, trajectory data are difficult to observe over large spatiotemporal regions—particularly in urban contexts—due to practical, technical and financial constraints. The next best thing is to estimate plausible trajectories...
journal article 2018
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Wang, M. (author)
Literature has shown potentials of Connected/Cooperative Automated Vehicles (CAVs) in improving highway operations, especially on roadway capacity and flow stability. However, benefits were also shown to be negligible at low market penetration rates. This work develops a novel adaptive driving strategy for CAVs to stabilise heterogeneous...
journal article 2018
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Ji, Yangbeibei (author), Xu, Mingwei (author), Li, Jie (author), van Zuylen, H.J. (author)
The macroscopic fundamental diagram (MFD) is a graphical method used to characterize the traffic state in a road network and to monitor and evaluate the effect of traffic management. For the determination of an MFD, both traffic volumes and traffic densities are needed. This study introduces a methodology to determine an MFD using combined...
journal article 2018
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van de Weg, G.S. (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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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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Corman, Francesco (author), Quaglietta, E. (author), Goverde, R.M.P. (author)
Railway transportation provides sustainable, fast and safe transport. Its attractiveness is linked to a broad concept of service reliability: the capability to adhere to a timetable in the presence of delays perturbing traffic. To counter these phenomena, real-time rescheduling can be used, changing train orders and times, according to rules of...
journal article 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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Calvert, S.C. (author), Taale, Henk (author), Snelder, M. (author), Hoogendoorn, S.P. (author)
In a bid to cost-effectively tackle congestion, traffic management is often seen as a key option to utilise road capacity. Prior to the application of traffic management measures, a-priori analysis allows the effectiveness of measures to be judged and where necessary adapted. However, current approaches do this without considering the effects...
journal article 2018
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Luan, X. (author), Wang, Y. (author), De Schutter, B.H.K. (author), Meng, Lingyun (author), Lodewijks, G. (author), Corman, F. (author)
problem (NLP: nonlinear programming), the P journal article 2018
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Luan, X. (author), Wang, Y. (author), De Schutter, B.H.K. (author), Meng, Lingyun (author), Lodewijks, G. (author), Corman, F. (author)
We study the integration of real-time traffic management and train control by using mixed-integer nonlinear programming (MINLP) and mixed-integer linear programming (MILP) approaches. Three innovative integrated optimization approaches for real-time traffic management that inherently include train control are developed to deliver both a train...
journal article 2018
Searched for: subject:"traffic"
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