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Investigation of driving behaviour transition during evacuation and its implication for traffic flow operations based on an open-source traffic simulation platform

Yuan, Y. (author), Pel, A.J. (author), Hoogendoorn, S.P. (author)

Earlier studies have shown how driving behaviour during emergency evacuation is different from that under “normal” conditions. At the same time, most evacuation studies (where the driving performance is explicitly accounted for) were conducted under the assumption of a fully activated emergency environment. However, the transition phase in...

conference paper 2014

document

Integrated network linear-quadratic model predictive control for disturbance on freeways

Han, Y. (author), Yuan, Y. (author), Hoogendoorn, S.P. (author)

We propose an integrated approach for dynamic route guidance and ramp metering using Linear Quadratic Model Predictive Control (LQMPC). The main objective is to maximize the throughput of the network by guiding traffic flow towards to insufficiently utilized infrastructures. Due to the linear property of the LQMPC, it is fast enough for real...

conference paper 2014

document

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

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

In freeways, the maximum traffic flow through a bottleneck is usually higher than the outflow of congestion there. This phenomenon is called the capacity drop. In literature, there are considerable debates about the mechanism causing this phenomenon. This paper studies the mechanism by analyzing real life data of two different days. The traffic...

conference paper 2014

document

Fastlane: Traffic flow modeling and multi-class dynamic traffic management

Schreiter, T. (author), Van Wageningen-Kessels, F.L.M. (author), Yuan, Y. (author), Van Lint, J.W.C. (author), Hoogendoorn, S.P. (author)

Dynamic Traffic Management (DTM) aims to improve traffic conditions. DTM usually consists of two steps: first the current traffic is estimated, then appropriate control actions are determined based on that estimate. In order to estimate and control the traffic, a suitable traffic flow model that reproduces the properties of traffic well must be...

conference paper 2012

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Estimating travel times using Wi-Fi sensor data

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

Determining travel time information from Wi-Fi (or Bluetooth) sensors is not trivial due to various (often technical) reasons. In this contribution, we focus on the problem of distinguishing travel time from the time people spend performing activities (e.g. fuelling the car, standing still to watch the scenery, buying a train ticket). More...

conference paper 2016

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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

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A microscopic investigation into capacity drop: impacts of a bunded acceleration and reaction time

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

Capacity drop indicates that the queue discharge rate is lower than the road capacity. Due to the capacity drop, traffic delays increase once queues form. Researchers find that queue discharge rates vary in different traffic conditions. Empirical data shows that the queue discharge rate increases as the speed in congestion increases....

conference paper 2016

document

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

document

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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Capacity drop: Relationship between speed in congestion and the queue discharge rate

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

It has been empirically observed for years that the queue discharge rate is lower than the prequeue capacity. This difference is called the capacity drop. The magnitude of capacity drop varies over a wide range, depending on the local traffic conditions. However, it is unknown what determines the capacity drop value. No thorough empirical...

journal article 2015

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A Microscopic Investigation into the Capacity Drop: Impacts of the Bounded Acceleration and Reaction Time

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 queue discharge rates vary 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 result in such...

journal article 2016

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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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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

document

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

document

New Extended Discrete First-Order Model to Reproduce Propagation of Jam Waves

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

This paper proposes an extension of the discrete Lighthill–Whitham–Richards model of the cell transmission model type to reproduce capacity drop and the propagation of jam waves. Recent studies have tried to incorporate the capacity drop into discrete first-order traffic flow models for traffic optimization purposes. It was found that the inflow...

journal article 2016

document

Generalized Adaptive Smoothing Method for State Estimation of Generic Two-Dimensional Flows

Yuan, Y. (author), Hoogendoorn, S.P. (author)

In big cities, the proportion of slow-mode (such as pedestrian) flows in total trip demand is steadily growing every year. Along with this trend, many concerns arise about accessibility and safety. The monitoring and the management of pedestrians serve as a potential solution to maintain the resilience of the transport network. Monitoring and...

journal article 2016

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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

document

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

document

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