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Verkaik-Poelman, M.C. (author), Hegyi, A. (author), Verbraeck, A. (author), van Lint, J.W.C. (author)Signalized traffic control is important in traffic management to reduce congestion in urban areas. With recent technological developments, more data have become available to the controllers and advanced state estimation and prediction methods have been developed that use these data. To fully benefit from these techniques in the design of...journal article 2020
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van Lint, J.W.C. (author), Nguyen, T.T. (author), Krishnakumari, P.K. (author), Calvert, S.C. (author), Schuurman, Henk (author), Schreuder, Marco (author)Is it possible to use just aggregate carriageway data for the evaluation of congestion warning systems (CWS) in large networks—or any system affecting traffic safety for that matter? In this paper, two hypotheses related to this question are tested. The first hypothesis is that it can be done by comparing large-scale congestion patterns on...journal article 2020
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Nadi Najafabadi, A. (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author), Snelder, M. (author)Scheduling and Routing in freight transport are usually the end products of an optimization process. However, the results may differ due to the heterogeneity of rules in different transport markets. Since the understanding of these decision rules is important for disaggregate freight modeling, this paper investigates the development of an...conference paper 2020
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Li, G. (author), Knoop, V.L. (author), van Lint, J.W.C. (author)Short-term traffic forecasting is one of the key functions in Intelligent Transportation System (ITS). Recently, deep learning is drawing more attention in this field. However, how to develop a deep learning based traffic forecasting model that can dynamically extract explainable spatial correlations from traffic data is still a challenging...conference paper 2020
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Calvert, S.C. (author), van Arem, B. (author), van Lint, J.W.C. (author)With an increasing number of automated vehicles (AV) appearing on roads and interacting with conventional traffic, there is a need for improved simulation approaches to replicate and forecast the resulting effects. Interactions between AVs and their drivers, and interaction with other human drivers involve new types of complex behavioural...journal article 2020
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Cats, O. (author), Vermeulen, A.A.J. (author), Warnier, Martijn (author), van Lint, J.W.C. (author)The development of metropolitan public transport networks often involves choosing between investing in extending radial lines or constructing ring connections. While the former enlarges network coverage the latter enhances network connectivity and reduces the need to perform detours. Moreover, investments might be better directed at...journal article 2020
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Faber, Timo (author), Sharma, Salil (author), Snelder, M. (author), Klunder, Gerdien (author), Tavasszy, Lorant (author), van Lint, J.W.C. (author)Truck platooning is the application of cooperative adaptive cruise control where multiple trucks are electronically linked using vehicle-to-vehicle communication. Although truck platoons might bring fuel savings and emission reductions, their interactions with surrounding traffic and resulting impact on traffic operations and safety are not...journal article 2020
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Sharma, Salil (author), Snelder, M. (author), Tavasszy, Lorant (author), van Lint, J.W.C. (author)Lane-changing models are essential components for microscopic simulation. Although the literature recognizes that different classes of vehicles have different ways of performing lane-change maneuvers, lane change behavior of truck drivers is an overlooked research area. We propose that truck drivers are heterogeneous in their lane change...journal article 2020
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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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Al-Khanak, Ehab Nabiel (author), Khan, S.S. (author), Verbraeck, A. (author), van Lint, J.W.C. (author)Scientific Workflow Applications (SWFA) play a vital role for both service consumers and service providers in designing and implementing large and complex scientific processes. Previously, researchers used parallel and distributed computing technologies, such as utility and grid computing to execute the SWFAs, these technologies provide limited...conference paper 2020
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Degeler, V. (author), Heydenrijk-Ottens, L.J.C. (author), Luo, D. (author), van Oort, N. (author), van Lint, J.W.C. (author)We perform an analysis of public transport data from The Hague, the Netherlands, combined from three sources: static network information, automatic vehicles location and automated fare collection data. We highlight the effect of bunching swings, and show that this phenomenon can be extracted using unsupervised machine learning techniques,...journal article 2020
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Krishnakumari, P.K. (author), Cats, O. (author), van Lint, J.W.C. (author)The biggest challenge of analysing network traffic dynamics of large-scale networks is its complexity and pattern interpretability. In this work, we present a new computationally efficient method, inspired by human vision, to reduce the dimensions of a large-scale network and describe the traffic conditions with a compact, scalable and...journal article 2020
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Yuan, K. (author), Knoop, V.L. (author), Zwaal, B.A. (author), van Lint, J.W.C. (author)With the renewed interest in the Macroscopic Fundamental Diagram (MFD) in the last decade, studies on network-level urban traffic control have increased in popularity. A popular urban traffic control approach is perimeter control, in which vehicle accumulation is kept below some critical accumulation value. An alternative control strategy is to...conference paper 2020
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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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Nadi Najafabadi, A. (author), Sharma, Salil (author), Snelder, M. (author), Tavasszy, Lorant (author), van Lint, J.W.C. (author)In gateway seaports, like the port of Rotterdam, a substantial proportion of all freight movements is related to trips to hinterland markets. Accordingly, outbound truck flows from port areas, especially in traffic rush-hours, may degrade the level of service on truck-dominated motorways or increase the unreliability of freight transport...conference paper 2019
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Shelat, S. (author), Cats, O. (author), van Oort, N. (author), van Lint, J.W.C. (author)Identifying the set of alternatives from which travellers choose their routes is a crucial step in estimation and application of route choice models. These models are necessary for the prediction of network flows that are vital for the planning of public transport networks. However, choice set identification is typically difficult because...conference paper 2019
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Sharma, Salil (author), Snelder, M. (author), van Lint, J.W.C. (author)On important truck-dominated motorways, a large share of traffic consists of trucks. Our hypothesis is that these trucks do not always make optimal routing decisions which cause inefficiencies in the traffic system. Therefore, route choice of truck drivers is of interest to both transport planners and traffic management authorities. The...conference paper 2019
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Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author)We present a pioneering investigation into the relation between passenger flow distribution and network properties in public transport systems. The methodology is designed in a reverse engineering fashion by utilizing passively measured passenger flow dynamics over the entire network. We quantify the properties of public transport networks using...journal article 2019
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Mantouka, Eleni G. (author), Vlahogianni, Eleni I. (author), Papacharalampous, Alexandros E. (author), Heydenrijk-Ottens, L.J.C. (author), Shelat, S. (author), Degeler, V. (author), van Lint, J.W.C. (author)The aim of this paper is to extend past research on travel behavior analysis by investigating travelers’ emotions and perceptions of the system’s performance. Perceived travel happiness as an extension of travel satisfaction is researched in the framework of the decision-making process during traveling. Socio-demographic, cognitive, and...journal article 2019
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Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author), Currie, Graham (author)Network science offers powerful concepts and methods for studying complex systems, such as public transport networks. However, many existing studies on complex network analysis of public transport networks were primarily motivated to test network science concepts using real-life networks. Consequently, important properties related to public...journal article 2019