Searched for: author:"Daamen, W."
(1 - 20 of 101)

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Gavriilidou, A. (author), Daamen, W. (author), Yuan, Y. (author), Nes, N. van (author), Hoogendoorn, S.P. (author)
In the pursuit of promoting cycling and providing better cycling infrastructure, its design is of great importance. One of the critical locations in a network are intersections, and specifically T-junctions, due to the inverted perception of priority. In this paper, we investigate the behaviour at T-junctions dedicated to cyclists and the effect...
journal article 2021
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Feng, Y. (author), Duives, D.C. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)
Collecting pedestrian behaviour data is vital to understand pedestrian behaviour. This systematic review of 145 studies aims to determine the capability of contemporary data collection methods in collecting different pedestrian behavioural data, identify research gaps and discuss the possibilities of using new technologies to study pedestrian...
review 2021
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Ramos, G.M. (author), Mai, Tien (author), Daamen, W. (author), Frejinger, Emma (author), Hoogendoorn, S.P. (author)
Travel information has the potential to influence travellers choices, in order to steer travellers to less congested routes and alleviate congestion. This paper investigates, on the one hand, how travel information affects route choice behaviour, and on the other hand, the impact of the travel time representation on the interpretation of...
journal article 2020
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Vial, A.A. (author), Daamen, W. (author), Ding, Aaron Yi (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
We present a design for a novel mobile sensing system (AMSense) that uses vehicles as mobile sensing nodes in a network to capture spatiotemporal properties of pedestrians and cyclists (active modes) in urban environments. In this dynamic, multi-sensor approach, real-time data, algorithms, and models are fused to estimate presence, positions and...
journal article 2020
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Gong, X. (author), Daamen, W. (author), Bozzon, A. (author), Hoogendoorn, S.P. (author)
Large-scale events are becoming more frequent in contemporary cities, increasing the need for novel methods and tools that can provide relevant stakeholders with quantitative and qualitative insights about attendees’ characteristics. In this work, we investigate how social media can be used to provide such insights. First, we screen a set of...
journal article 2020
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Hanseler, F.S. (author), van den Heuvel, Jeroen P.A. (author), Cats, O. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)
We present a transit model that, based on automated fare collection and train tracking data, describes pedestrian movements in train stations and vehicle-specific train ridership distributions. Our approach differs from existing models in that we describe on-board passenger dynamics and pedestrian dynamics at stations in a joint framework. We...
journal article 2020
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Schneider, F. (author), Ton, D. (author), Zomer, L. (author), Daamen, W. (author), Duives, D.C. (author), Hoogendoorn-Lanser, S. (author), Hoogendoorn, S.P. (author)
This paper studies the relationship between trip chain complexity and daily travel behaviour of travellers. While trip chain complexity is conventionally investigated between travel modes, our scope is the more aggregated level of a person’s activity-travel pattern. Using data from the Netherlands Mobility Panel, a latent class cluster...
journal article 2020
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Knoop, V.L. (author), Hanseler, F.S. (author), Wierbos, M.J. (author), Gavriilidou, A. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)
Density is one of the most relevant variables in a traffic flow description. For objects in 2 dimensions, density can be determined by the space that is allocated to each of the objects. This paper introduces a new way of computing the space available for a bicyclist, accounting for speed and accounting for the non-zero size of a bicycle. This...
conference paper 2020
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Yuan, Y. (author), Goni Ros, B. (author), Bui, Ha H. (author), Daamen, W. (author), Vu, Hai L. (author), Hoogendoorn, S.P. (author)
Macroscopic pedestrian models are theoretically simpler than microscopic models, and they can potentially be solved faster while producing reasonable predictions of crowd dynamics. Therefore, they can be very useful for applications such as large-scale simulation, real-time state estimation and crowd management. However, the numerical methods...
journal article 2020
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Zhou, Y. (author), Daamen, W. (author), Vellinga, T. (author), Hoogendoorn, S.P. (author)
In ports and waterways, the impacts of external navigational factors may lead to serious incidents due to limited space for ship maneuvering. Using nautical traffic models, these incidents can be predicted in advance. In current studies of nautical traffic models, the impacts of wind and current on ship behavior are seldom considered when...
journal article 2020
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van Oijen, T.P. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)
This paper describes a method to estimate the parameters of a Recursive link-based Logit model (RL) using measurements of a set of spatially fixed proximity sensors, with limited hit rates, which can uniquely identify people, such as Wi-Fi-, RFID- or Bluetooth-sensors. The observed ‘route’ of an individual, where we focus on pedestrians in an...
journal article 2020
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Gavriilidou, A. (author), Pardini Susacasa, Laura (author), Reddy, N. (author), Daamen, W. (author)
Due to the increasing use of the bicycle as access and egress mode to public transport hubs, bicycle parking facilities are being constructed and extended. The provision of appropriate infrastructure requires the understanding of the needs and preferences of the cyclists. In order to gain insights into the parking spot choices of the cyclists,...
conference paper 2020
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Reggiani, G. (author), Dabiri, A. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)
A tool for travel time estimation of cyclists approaching a traffic light can monitor level of service of intersections in bike crowded cities. This work represents a first step in developing such a tool. Neural Network models are evaluated on how they perform in estimating individual travel time of cyclists approaching a signalized...
conference paper 2020
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Daamen, W. (author), van Binsbergen, A.J. (author), van Arem, B. (author), Hoogendoorn, S.P. (author)
The Urban Mobility Observatory (UMO) will gather, store, and disseminate empirical multi-modal traffic, transport and mobility data, using a well-balanced set of innovative data collection methods. It will make these comprehensive data available for scientific research to develop and test new theories and models to better understand, predict and...
conference paper 2020
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Bellsola Olba, X. (author), Daamen, W. (author), Vellinga, T. (author), Hoogendoorn, S.P. (author)
Ports represent a key element in the maritime transportation chain. Larger vessels and higher traffic volumes in ports might result in higher risks at the navigational level. Thus, the dire need for a comprehensive and efficient risk assessment method for ports is felt. Many methodologies have been proposed so far, but their application to...
journal article 2019
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Yuan, Y. (author), Goni Ros, B. (author), Poppe, Mees (author), Daamen, W. (author), Hoogendoorn, S.P. (author)
Predicting the bicycle flow capacity at signalized intersections of various characteristics is crucial for urban infrastructure design and traffic management. However, it is also a difficult task because of the large heterogeneity in cycling behavior and several limitations of traditional capacity estimation methods. This paper proposes several...
journal article 2019
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Feng, Y. (author), Duives, D.C. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)
Understanding pedestrian exit choice behavior during emergency situations is important for improving evacuation efficiency. Virtual Reality is a promising technique that can be used to study pedestrian evacuation behavior. However, studies comparing evacuation behavior in real and virtual environments are still scarce. This paper explores...
conference paper 2019
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Gong, X. (author), Daamen, W. (author), Bozzon, A. (author), Hoogendoorn, S.P. (author)
City events are being organized more frequently, and with larger crowds, in urban areas. There is an increased need for novel methods and tools that can provide information on the sentiments of crowds as an input for crowd management. Previous work has explored sentiment analysis and a large number of methods have been proposed relating to...
journal article 2019
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Zhou, Y. (author), Daamen, W. (author), Vellinga, T. (author), Hoogendoorn, S.P. (author)
The importance of maritime transport keeps increasing with the trade globalization. With the growing demand for waterborne transport, vessel traffic flows are also expected to increase. This paper reviews maritime traffic models from the vessel behavior modeling perspective. The maritime traffic models include the models for vessel traffic both...
review 2019
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Bellsola Olba, X. (author), Daamen, W. (author), Vellinga, T. (author), Hoogendoorn, S.P. (author)
The maritime transportation growth leads to more intensively used waterways, especially in ports. Since the capacity of an intersection of waterways becomes more important, this research presents a new method to estimate this capacity. Based on an analogy between roads and waterways, the conflict technique is applied to an intersection of...
journal article 2019
Searched for: author:"Daamen, W."
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