Basic Driving Dynamics of Cyclists

Andresen, Erik; Chraibi, Mohcine; Seyfried, Armin; Huber, Felix

doi:10.1007/978-3-662-45079-6_2

Cited by 20 publications

(39 citation statements)

References 10 publications

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“…At a certain critical value of the density the flow is unstable and transits from free flow to jammed flow. This transition was also found for bicycle flows [10]. In this work single-file pedestrian, car and bicycle movement on a planar circuit will be studied under laboratory conditions.…”

Section: Introductionmentioning

confidence: 67%

“…As for the study of bicycle traffic, most research focuses on operating characteristics, travel speed distributions as well as bicycle characteristics. Only a small number of studies focused on the flow properties of bicycle traffic [7][8][9][10]. Here we want to find out how strongly the flow-density relation depends on the properties of the agents.…”

Section: Introductionmentioning

confidence: 99%

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Universal flow-density relation of single-file bicycle, pedestrian and car motion

et al. 2014

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The relation between flow and density is an essential quantitative characteristic to describe the efficiency of traffic systems. We have performed experiments with single-file motion of bicycles and compare the results with previous studies for car and pedestrian motion in similar setups. In the space-time diagrams we observe three different states of motion (free flow state, jammed state and stop-and-go waves) in all these systems. Despite of their obvious differences they are described by a universal fundamental diagram after proper rescaling of space and time which takes into account the size and free velocity of the three kinds of agents. This indicates that the similarities between the systems go deeper than expected.

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Section: Introductionmentioning

confidence: 67%

Section: Introductionmentioning

confidence: 99%

Universal flow-density relation of single-file bicycle, pedestrian and car motion

et al. 2014

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“…Two microscopic car-following models are considered -the IDM [8] and the NDM [1]. Both of them are formulated as coupled ordinary differential equations and characterized by an acceleration function which depends on the actual speed v(t), the approaching rate ∆ v(t) = v − v l to the leader, and the gap s(t).…”

Section: Models Under Investigationmentioning

confidence: 99%

“…The NDM is originally formulated in terms of difference equations for the speed [1] which, in the limit of update times ∆t tending to zero, is equivalent to a coupled differential equation with the acceleration functioṅ…”

Section: Models Under Investigationmentioning

confidence: 99%

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Simulating bicycle traffic by the intelligent-driver model-Reproducing the traffic-wave characteristics observed in a bicycle-following experiment

Kurtc

Treiber

2020

Journal of Traffic and Transportation Engineering (English Edit

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Bicycle traffic operations become increasingly important and yet are largely ignored in the traffic flow community, until recently. We hypothesize that there is no qualitative difference between vehicular and bicycle traffic flow dynamics, so the latter can be described by reparameterized car-following models. To test this proposition, we reproduce bicycle experiments on a ring with the Intelligent-Driver Model and compare its fit quality (calibration) and predictive power (validation) with that of the Necessary-Deceleration-Model which is specifically designed for bike traffic. We find similar quality metrics for both models, so the above hypothesis of a qualitative equivalence cannot be rejected.

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