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Bicycle Data-Driven Application Framework: A Dutch Case Study on Machine Learning-Based Bicycle Delay Estimation at Signalized Intersections Using Nationwide Sparse GPS Data

Yuan, Y. (author), Wang, Kaiyi (author), Duives, D.C. (author), Hoogendoorn, S.P. (author), Hoogendoorn-Lanser, S. (author), Lindeman, Rick (author)

Data-driven approaches are helpful for quantitative justification and performance evaluation. The Netherlands has made notable strides in establishing a national protocol for bicycle traffic counting and collecting GPS cycling data through initiatives such as the Talking Bikes program. This article addresses the need for a generic framework to...

journal article 2023

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Bicycle network needs, solutions, and data collection systems: A theoretical framework and case studies

Reggiani, G. (author), Salomons, A.M. (author), Sterk, M.A.H. (author), O'Hern, Steve (author), Daamen, W. (author), Yuan, Y. (author), Hoogendoorn, S.P. (author)

Similarly to Maslow’s pyramid of human needs, we theorize that cities have a pyramid of bicycle network needs that depends on their level of bicycle culture. As an increasing number of data sources emerge for bicycle data collection, transport authorities face the challenge of understanding how to use the data and which data sources are fit for...

journal article 2022

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Invloed van COVID-19 op verkeersafwikkeling

Hoogendoorn, S.P. (author), Daamen, W. (author), Yuan, Y. (author), Krishnakumari, P.K. (author)

In dit artikel worden de effecten van COVID-19 op de (relevante onderdelen van de) aanbodkant van het mobiliteitssysteem beschreven. Gezien de verwachte impact ligt de focus op voetgangersstromen, fietsstromen, het gebruik van deeldiensten en openbaar vervoer voertuigen. We kijken naar het effect op de capaciteit, via gemeten of theoretisch...

journal article 2021

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Empirical findings on infrastructure efficiency at a bicycle T-junction

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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A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data

Ma, Xinwei (author), Ji, Yanjie (author), Yuan, Y. (author), van Oort, N. (author), Jin, Yuchuan (author), Hoogendoorn, S.P. (author)

The co-existence of traditional docked bike-sharing and emerging dockless systems presents new opportunities for sustainable transportation in cities all over the world, both serving door to door trips and accessing/egressing to/from public transport systems. However, most of the previous studies have separately examined the travel patterns...

journal article 2020

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Bike-sharing systems’ impact on modal shift: A case study in Delft, the Netherlands

Ma, X. (author), Yuan, Y. (author), van Oort, N. (author), Hoogendoorn, S.P. (author)

Bike-sharing systems have witnessed rapid growth in the last decades. Bike-sharing has been found to influence modal shift from car, public transit, and active transportation modes. However, the impacts on modal shift by considering different kinds of bike-sharing systems are rarely discussed. This study examines the modal shift dynamics and...

journal article 2020

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Macroscopic pedestrian flow simulation using Smoothed Particle Hydrodynamics (SPH)

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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Analysis of Bicycle Headway Distribution, Saturation Flow and Capacity at a Signalized Intersection using Empirical Trajectory Data

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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Large-Scale Bicycle Flow Experiment: Setup and Implementation

Gavriilidou, A. (author), Wierbos, M.J. (author), Daamen, W. (author), Yuan, Y. (author), Knoop, V.L. (author), Hoogendoorn, S.P. (author)

Cycling research at the operational behavioral level is limited, mainly because of the lack of empirical data. To overcome this data shortage, we performed a controlled, large-scale cycling experiment in the Netherlands. In this paper we describe the methodology for setting up and implementing such an experiment, from the motivation of its...

journal article 2019

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Multi-class traffic flow on a partially space-shared road

Yuan, K. (author), Knoop, V.L. (author), Hoogendoorn, S.P. (author)

Scarce urban space makes urban streets have to be partly shared by cars and cyclists. Traffic flow can be considerably influenced by cyclists, which are comparatively slower than cars. The fundamental diagram (FD) can change greatly, correlating to bike lane length and the cyclist flow. Models for the traffic dynamics on the space-shared streets...

journal article 2019

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Modelling cyclist queue formation using a two-layer framework for operational cycling behaviour

Gavriilidou, A. (author), Daamen, W. (author), Yuan, Y. (author), Hoogendoorn, S.P. (author)

Operational cycling behaviour is greatly understudied, even lacking a definition of what this behavioural level actually entails in terms of decision making. In this paper, we define the cyclist operational level and argue that it consists of two intertwined processes, a mental and a physical process. The mental process refers to path choices...

journal article 2019

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A geometric Brownian motion car-following model: towards a better understanding of capacity drop

Yuan, K. (author), Lavala, Jorge (author), Knoop, V.L. (author), Jiang, Rui (author), Hoogendoorn, S.P. (author)

Traffic flow downstream of the congestion is generally lower than the pre-queue capacity. This phenomenon is called the capacity drop. Recent empirical observations show a positive relationship between the speed in congestion and the queue discharge rate. Literature indicates that variations in driver behaviors can account for the capacity drop....

journal article 2018

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An Extended Linear Quadratic Model Predictive Control Approach for Multi-Destination Urban Traffic Networks

Han, Y. (author), Hegyi, A. (author), Yuan, Y. (author), Roncoli, Claudio (author), Hoogendoorn, S.P. (author)

This paper extends an existing linear quadratic model predictive control (LQMPC) approach to multi-destination traffic networks, where the correct origin-destination (OD) relations are preserved. In the literature, the LQMPC approach has been presented for efficient routing and intersection signal control. The optimization problem in the...

journal article 2018

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Empirical Analysis of the Macroscopic Characteristics of Bicycle Flow during the Queue Discharge Process at a Signalized Intersection

Goni Ros, B. (author), Yuan, Y. (author), Daamen, W. (author), Hoogendoorn, S.P. (author)

Signalized intersections are one of the most common types of bottleneck in urban cycling networks. Gaining knowledge on the macroscopic characteristics of bicycle flow during the queue discharge process is crucial for developing ways to reduce the delay experienced by cyclists at intersections. This paper aims to determine these...

journal article 2018

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Investigating cyclist interaction behavior through a controlled laboratory experiment

Yuan, Y. (author), Daamen, W. (author), Goni Ros, B. (author), Hoogendoorn, S.P. (author)

Nowadays, there is a need for tools to support city planners in assessing the performance of cycling infrastructure and managing bicycles and mixed flows. Microscopic and macroscopic bicycle traffic models can be used to fulfill this need. However, fundamental knowledge on individual cyclist interaction behavior (which should underpin these...

journal article 2018

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A microscopic investigation into the capacity drop: Impacts of longitudinal behavior on the queue discharge rate

Yuan, K. (author), Knoop, V.L. (author), Hoogendoorn, S.P. (author)

The capacity drop indicates that the queue discharge rate is lower than the free-flow capacity. Studies show that the queue discharge rate varies under different traffic conditions. Empirical data show that the queue discharge rate increases as the speed in congestion increases. Insights into the underlying behavioral mechanisms that cause...

journal article 2017

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Resolving freeway jam waves by discrete first-order model-based predictive control of variable speed limits

Han, Y. (author), Hegyi, A. (author), Yuan, Y. (author), Hoogendoorn, S.P. (author), Papageorgiou, Markos (author), Roncoli, Claudio (author)

In this paper we develop a fast model predictive control (MPC) approach for variable speed limit coordination to resolve freeway jam waves. Existing MPC approaches that are based on the second-order traffic flow models suffer from high computation load due to the non-linear and non-convex optimization formulation. In recent years, simplified...

journal article 2017

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Capacity drop: A comparison between stop-and-go wave and standing queue at lane-drop bottleneck

Yuan, K. (author), Knoop, V.L. (author), Leclercq, Ludovic (author), Hoogendoorn, S.P. (author)

journal article 2017

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A kinematic wave model in Lagrangian coordinates incorporating capacity drop: Application to homogeneous road stretches and discontinuities

Yuan, K. (author), Knoop, V.L. (author), Hoogendoorn, S.P. (author)

On freeways, congestion always leads to capacity drop. This means the queue discharge rate is lower than the pre-queue capacity. Our recent research findings indicate that the queue discharge rate increases with the speed in congestion, that is the capacity drop is strongly correlated with the congestion state. Incorporating this varying...

journal article 2017

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Comparing three types of real-time data collection techniques: Counting cameras, Wi-Fi sensors and GPS trackers

Daamen, W. (author), Yuan, Y. (author), Duives, D.C. (author), Hoogendoorn, S.P. (author)

Nowadays, many large scale events are organised in urban areas that are not designed to accomodate these large visitor flows, as not only the sheer number of people is larger than anticipated, but also their behaviour is different. For a timely deployment of crowd management measures, continuous information on the real-time traffic state on the...

conference paper 2016