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Li, G. (author), Knoop, V.L. (author), van Lint, J.W.C. (author)Traffic condition forecasting is fundamental for Intelligent Transportation Systems. Besides accuracy, many services require an estimate of uncertainty for each prediction. Uncertainty quantification must consider the inherent randomness in traffic dynamics, the so-called aleatoric uncertainty, and the additional distrust caused by data shortage...journal article 2024
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de Ruijter, A.J.F. (author), Cats, O. (author), van Lint, J.W.C. (author)Limited available market share data seems to suggest that ridesourcing platforms benefit from, even thrive on, socio-economic inequality. We suspect that this is associated with high levels of socio-economic inequality allowing for cheap labour as well as increasing the share of travellers with a considerably above-average willingness to pay...journal article 2024
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Spierenburg, L.J. (author), van Lint, J.W.C. (author), van Oort, N. (author)Enabling cycling at the home side or at the activity side of transit trips has been recognized as a promising solution to address transit network discrepancies and enhance connectivity between residents and employment opportunities. However, this multimodal solution is conditional to bicycle parking and cycle lanes, and urban planners need...journal article 2024
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Nadi Najafabadi, A. (author), Yorke-Smith, N. (author), Snelder, M. (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author)Understanding preferences and behaviours in road freight transport is valuable for planning and analysis. This paper proposes a data-driven vehicle routing and scheduling approach for use as a descriptive tool to study road freight transport activities. The model developed seeks to capture planners’ or drivers’ preferences in order to...journal article 2023
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Eftekhar, Z. (author), Pel, A.J. (author), van Lint, J.W.C. (author)This paper explores temporal patterns in travel production using a full month of production data from traffic analysis zones (TAZ) in the (entire) Netherlands. The mentioned data is a processed aggregated derivative (due to pr ivacy concerns) from GSM traces of a Dutch telecommunication company. This research thus also sheds light on whether...journal article 2023
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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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Verkaik-Poelman, M.C. (author), Hegyi, A. (author), Verbraeck, A. (author), van Lint, J.W.C. (author)Model-based predictive signal control is a popular method to pro-actively control traffic and to reduce the effects of congestion in urban networks. In combination with structure-free controllers, which adapt signal settings in arbitrary order and combination (no imposed cycles), these predictive control methods have a high potential to...journal article 2023
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Jiao, Y. (author), Calvert, S.C. (author), van Cranenburgh, S. (author), van Lint, J.W.C. (author)This study presents a new method to infer the average two-dimensional (2D) spacing between interacting vehicles in urban traffic from trajectory data. In this context, 2D spacing reflects the amount of road space consumed by pairs of interacting vehicles, and is related to 2D density at the macroscopic level. Due to complex interaction and...journal article 2023
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Eftekhar, Z. (author), Pel, A.J. (author), van Lint, J.W.C. (author)Global System for Mobile Communications (GSM) data provides valuable insights into travel demand patterns by capturing people's consecutive locations. A major challenge, however, is how the polling interval (PI; the time between consecutive location updates) affects the accuracy in reconstructing the spatio-temporal travel patterns. Longer...journal article 2023
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Huber, Gerhard (author), Bogenberger, Klaus (author), van Lint, J.W.C. (author)The comparably low driving ranges of battery electric vehicles (BEV) cause time-consuming recharging stops if long distances have to be covered. Thus, navigation systems not only have to compute routes leading from the BEV's current position to the destination, but also to plan recharging stops. This type of routing problem is often modeled...journal article 2022
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de Ruijter, A.J.F. (author), Cats, O. (author), Kucharski, R.M. (author), van Lint, J.W.C. (author)Contrary to traditional transit services, supply in ridesourcing systems emerges from individual labour decisions of gig workers. The effect of decentralisation in supply on the evolution of on-demand transit services is largely unknown. To this end, we propose a dynamic model comprising of the subsequent supply-side processes: (i) initial...journal article 2022
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Ferri, Carlotta (author), Ziar, H. (author), Nguyen, T.T. (author), van Lint, J.W.C. (author), Zeman, M. (author), Isabella, O. (author)After developing the methodology, we applied it to the case of the Netherlands highways. We show that the average irradiation on the Dutch highway network is around 880 kWh/m2/y, 35% less than the potential of an optimally tilted conventional PV system in the south of the Netherlands. Covering the entire 1600 km of the Dutch highways network...journal article 2022
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Li, G. (author), Knoop, V.L. (author), van Lint, J.W.C. (author)Accurate short-term traffic forecasting is the cornerstone for Intelligent Transportation Systems. In the past several decades, many models have been proposed to continuously improve the predictive accuracy. A key but unsolved question is whether there is a theoretical bound to the accuracy with which traffic can be predicted and whether that...journal article 2022
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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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Nadi Najafabadi, A. (author), Nugteren, Alex (author), Snelder, M. (author), van Lint, J.W.C. (author), Rezaei, J. (author)This paper introduces an advisory-based time slot management system (TSMS) to control truck arrivals at seaport terminals with the aim to reduce congestion at terminal gates. A modeling framework is proposed, developed, and applied to assess the impact of a truck arrival shift for a case study in the Port of Rotterdam. This system is designed...journal article 2022
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Sharma, Salil (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author), Snelder, M. (author)This paper studies and compares the gap selection process of multiple vehicle classes (passenger cars, delivery vans, and trucks) within their discretionary lane changing activities. Given a trajectory or a sequence of gap selection decisions, we aim to predict whether a vehicle will change or keep a lane. For this purpose, we use a large...journal article 2022
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Shelat, S. (author), Cats, O. (author), van Oort, N. (author), van Lint, J.W.C. (author)Unreliable waiting times may cause frustration and anxiety amongst public transport travellers. Although the effect of travel time reliability has been studied extensively, most studies have used stated preferences which have disadvantages, such as an inherent hypothetical bias, or have analysed revealed preferences for road traffic. Here, we...journal article 2022
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Shelat, S. (author), Van De Wiel, Thijs (author), Molin, E.J.E. (author), van Lint, J.W.C. (author), Cats, O. (author)Introduction Unlike previous pandemics, COVID-19 has sustained over a relatively longer period with cyclical infection waves and numerous variants. Public transport ridership has been hit particularly hard. To restore travellers' confidence it is critical to assess their risk determinants and trade-offs. Methods To this end, we survey train...journal article 2022
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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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Lin, X. (author), Leclercq, L. (author), Tavasszy, Lorant (author), van Lint, J.W.C. (author)We introduce an approach to formulate and solve the multi-class user equilibrium traffic assignment as a mixed-integer linear programming (MILP) problem. Compared to simulation approaches, the analytical MILP formulation makes the solution of network assignment problems more tractable. When applied in a multi-class context, it obviates the...journal article 2022