Searched for: author:"Van Lint, J.W.C."
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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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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)
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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van Lint, J.W.C. (author), Calvert, S.C. (author)
Incorporation of more sophisticated human factors (HF) in mathematical models for driving behavior has become an increasingly popular and important research direction in the last few years. Such models enable us to simulate under which conditions perception errors and risk-taking lead to interactions that result in unsafe traffic conditions...
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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Luo, D. (author), Bonnetain, L. (author), Cats, O. (author), van Lint, J.W.C. (author)
Obtaining load profiles of transit vehicles has remained as a difficult task for transit operators because of technical and financial constraints. Although a significant advance in transit demand and supply data collection has been achieved over the past decade, information related to load profiles at the vehicular level is either impossible...
journal article 2018
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Cerqueira, Vitor (author), Moreira Matias, L.A. (author), Khiari, Jihed (author), van Lint, J.W.C. (author)
Floating car data (FCD) denotes the type of data (location, speed, and destination) produced and broadcasted periodically by running vehicles. Increasingly, intelligent transportation systems take advantage of such data for prediction purposes as input to road and transit control and to discover useful mobility patterns with applications to...
journal article 2018
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Krishnakumari, P.K. (author), Perotti, Alan (author), Pinto, Viviana (author), Cats, O. (author), van Lint, J.W.C. (author)
Large-scale network traffic analysis is crucial for many transport applications, ranging from estimation and prediction to control and planning. One of the key issues is how to integrate spatial and temporal analyses efficiently. Deep Learning is gaining momentum as a go-to approach for artificial vision, and transfer learning approaches allow...
conference paper 2018
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Heydenrijk-Ottens, L.J.C. (author), Degeler, V. (author), Luo, D. (author), van Oort, N. (author), van Lint, J.W.C. (author)
In this extended abstract, we show the supervised learning approach to<br/>predicting passenger load of trams, based on historical passenger load patterns. We look at two different cases: predicting long-term passenger load of any given day and time, and predicting short-term passenger load at a particular public transport vehicle.
conference paper 2018
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Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author)
It has been rarely investigated in the field of public transport whether passenger ow can be explained by network topology. Based on the rich data sets from The Hague, The Netherlands, we conduct this study try- ing to shed light upon this question. The relation between passenger ow and topological measures in different public transport network...
conference paper 2018
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Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author)
Transit networks are complex systems in which the passenger flow dynamics are difficult to capture and understand. While there is a growing ability to monitor and record travelers' behavior in the past decade, knowledge on network-wide passenger flows, which are essentially high-dimensional multivariate data, is still limited. This paper...
conference paper 2017
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van der Vliet, J.P. (author), Pel, A.J. (author), van Lint, J.W.C. (author)
Current procedure in travel demand estimation models is to separately deal with attraction, production and trip distribution, where the latter typically assumes inverse distance proportionality. We show that this procedure leads to errors in the demand estimation, particularly when dealing with very specific zones and heterogeneous travel...
conference paper 2017
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Calvert, S.C. (author), Schakel, W.J. (author), van Lint, J.W.C. (author)
With low-level vehicle automation already available, there is a necessity to estimate its effects on traffic flow, especially if these could be negative. A long gradual transitionwill occur frommanual driving to automateddriving, inwhichmany yet unknown traffic flow dynamics will be present. These effects have the potential to increasingly...
journal article 2017
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Luo, D. (author), Cats, O. (author), van Lint, J.W.C. (author)
So-called tap-in–tap-off smart card data have become increasingly available and popular as a result of the deployment of automatic fare collection systems on transit systems in many cities and areas worldwide. An opportunity to obtain much more accurate transit demand data than before has thus been opened to both researchers and practitioners....
journal article 2017
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Cats, O. (author), van Oort, N. (author), van Lint, J.W.C. (author)
The public transport industry faces challenges in catering to the variety of mobility patterns and corresponding needs and preferences of passengers. Travel habit surveys provide information on overall travel demand as well as its spatial variation. However, that information often does not include information on temporal variations. By applying...
journal article 2017
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Nguyen, T.T. (author), Calvert, S.C. (author), van Lint, J.W.C. (author)
Traffic state estimation is an important task that has attracted a lot of research effort in recent decades. The main goal of traffic state estimation is to turn measured data, which is normally noisy and incomplete, into meaningful information for further investigation, either offline or online (e.g. traffic management and control).
conference paper 2017
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Wilmink, Isabel (author), Muizelaar, Thijs (author), van Lint, J.W.C. (author)
Overheden en marktpartijen investeren momenteel veel in Smart Mobility toepassingen en dit roept vragen op over de effecten van deze innovatieve mobiliteitsoplossingen. SimSmartMobility is een platform voor simulaties van Smart Mobility en richt zich op het steeds beter kunnen beantwoorden van deze vragen. In dit discussiepaper geven we een...
conference paper 2017
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Taale, Henk (author), van Lint, J.W.C. (author), Wilmink, Isabel (author)
report 2016
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Papacharalampous, A.E. (author), Cats, O. (author), Lankhaar, Jan-Willem (author), Daamen, W. (author), van Lint, J.W.C. (author)
Many of the transportation problems prevalent in urban areas culminate in large-scale events. Such events generate large multimodal flows that arrive and depart within short time intervals to constrained areas. Monitoring and managing big events pose a challenge for transport planners, operators, event organizers, and city officials. In this...
journal article 2016
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van Beek, Paul (author), van Lieshout, Suzanne (author), Malone, Kerry (author), Meurs, Henk (author), Hendrix, Bram (author), van Lint, J.W.C. (author)
Nederland investeert fors in slimme mobiliteitsoplossingen. Er zijn de afgelopen paar jaar meer dan vijftig ITS-proefprojecten opgestart, waarvan er zo’n tien Connected ITS betreffen. Deze laatste categorie wordt gezien als the next step in het vakgebied – en zowel overheid als markt investeren dan ook juist hierin. Maar waar staan we eigenlijk...
journal article 2016
Searched for: author:"Van Lint, J.W.C."
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