Searched for: author%3A%22Van+Lint%2C+J.W.C.%22
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Li, G. (author), Jiao, Y. (author), Knoop, V.L. (author), Calvert, S.C. (author), van Lint, J.W.C. (author)
Car-Following (CF), as a fundamental driving behaviour, has significant influences on the safety and efficiency of traffic flow. Investigating how human drivers react differently when following autonomous vs. human-driven vehicles (HV) is thus critical for mixed traffic flow. Research in this field can be expedited with trajectory datasets...
conference paper 2023
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Wang, Z. (author), Krishnakumari, P.K. (author), Anupam, K. (author), van Lint, J.W.C. (author), Erkens, S. (author)
Understanding the relationship between pavement raveling and traffic characteristics is important to pavement management and maintenance planning. In this work, we propose a framework to empirically quantify this relationship. It consists of an alignment method to tackle the inconsistent spatial-temporal scales of the raveling and traffic...
conference paper 2022
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Sharma, Salil (author), Al-Khanak, Ehab Nabiel (author), Riebl, Raphael (author), Schakel, W.J. (author), Knoppers, P. (author), Verbraeck, A. (author), van Lint, J.W.C. (author)
Truck platooning is an application of cooperative adaptive cruise control (CACC) which relies on vehicle-to-vehicle communications facilitated by vehicle ad-hoc networks. Communication uncertainties can affect the performance of a CACC controller. Previous research has not considered the full spectrum of possible car-following scenarios needed...
conference paper 2021
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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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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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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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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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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)
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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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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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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van Lint, J.W.C. (author), Calvert, S.C. (author), Schakel, W.J. (author), Wang, M. (author), Verbraeck, A. (author)
It is remarkable that drivers (on average) can safely navigate through dense traffic at high speeds—conditions in which the time headways between vehicles are in the same order of magnitude as human reaction times. One explanation for this is the ability of drivers to anticipate on the traffic conditions in their surroundings. In this paper,...
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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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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Van Oort, N. (author), Hoogendoorn, S.P. (author), van Lint, J.W.C. (author)
Bereikbaarheid en daarmee mobiliteit en transport systemen zijn van vitaal belang van onze steden en regio’s. Verkeer en vervoer spelen een cruciale rol in het mogelijk maken van activiteiten voor mensen en bedrijven. Maatregelen, ingrepen en innovaties laten historisch een verbetering van de bereikbaarheid zien en daarmee van de vrijheid van...
conference paper 2015
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Djukic, T. (author), Barcelo, J. (author), Bullejos, M. (author), Montero, L. (author), Cipriani, E. (author), Van Lint, J.W.C. (author), Hoogendoorn, S.P. (author)
In this paper, the use of advanced traffic data is discussed to contribute to the ongoing debate about their applications in dynamic origin-destination (OD) estimation. This is done by discussing the advantages and disadvantages of traffic data with support of the findings of a benchmark study. The benchmark framework is designed to assess the...
conference paper 2015
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