Towards TransiTUM: A Generic Framework for Multiscale Coupling of Pedestrian Simulation Models based on Transition Zones

Biedermann, Daniel H.; Kielar, Peter M.; Handel, Oliver; Borrmann, André

doi:10.1016/j.trpro.2014.09.065

Cited by 14 publications

(7 citation statements)

References 17 publications

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“…However, some approaches are concerned with genericity and with the provision of general guidelines to a great number of existing simulations. The authors in [24], for instance, propose a framework to coupling any mesoscopic pedestrian simulation model with any microscopic simulation. To do so, they propose transition zones between the two types of simulations and a method to synchronize two models whatever their simulation time step.…”

Section: Literature Review 21 Scales In Mobility Simulationsmentioning

confidence: 99%

A Middleware-Based Approach for Multi-Scale Mobility Simulation

et al. 2021

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Modeling and simulation play an important role in transportation networks analysis. In the literature, authors have proposed many traffic and mobility simulations, with different features and corresponding to different contexts and objectives. They notably consider different scales of simulations. The scales refer to the represented entities, as well as to the space and the time representation of the transportation environment. However, we often need to represent different scales in the same simulation, for instance to represent a neighborhood interacting with a wider region. In this paper, we advocate for the reuse of existing simulations to build a new multi-scale simulation. To do so, we propose a middleware model to couple independent mobility simulations, working at different scales. We consider all the necessary processing and workflow to allow for a coherent orchestration of these simulations. We also propose a prototype implementation of the middleware. The results show that such a middleware is capable of creating a new multi-scale mobility simulation from existing ones, while minimizing the incoherence between them. They also suggest that, to have a maximal benefit from the middleware, existing mobility simulation platforms should allow for an external control of the simulations, allowing for executing a time step several times if necessary.

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Section: Literature Review 21 Scales In Mobility Simulationsmentioning

confidence: 99%

A Middleware-Based Approach for Multi-Scale Mobility Simulation

et al. 2021

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“…The maximal density, which can be simulated by SpaceDisc models is limited to ρ = 1/A, with A as the area of a unit cell. We studied the usage of different spatial scales in previous projects [14,15,16,17,18]. Table 1 gives an overview about the most used geometric representations of pedestrians for spatial-discrete and spatial-continuous models as well as the maximum density that can be simulated.…”

Section: The Three Spatial Scales In Pedestrian Dynamicsmentioning

confidence: 99%

A generic and density-sensitive method for multi-scale pedestrian dynamics

Biedermann,

Clever,

Borrmann

2020

Preprint

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Microscopic approaches to the simulation of pedestrian dynamics rely on modelling the behaviour of individual agents and their mutual interactions. Regarding the spatial resolution, microscopic simulators are either based on continuous (SpaceCont) or discrete (SpaceDisc) approaches. To combine the advantages of both approaches, we propose to integrate SpaceCont and SpaceDisc into a hybrid simulation model. Such a hybrid approach allows simulating critical regions with a continuous spatial resolution and uncritical ones with discrete spatial resolution while enabling consistent information exchange between the two simulation models. We introduce a generic approach that provides consistent solutions for the challenges resulting from coupling diverging time steps and spatial resolutions. Furthermore, we present a dynamic and density-sensitive approach to detect dense areas during the simulation run. If a critical region is detected, the simulation model used in this area is dynamically switched to a space-continuous one. The correctness of the hybrid model is evaluated by comparison with a established simulator. Its superior computational efficiency is shown by runtime comparison with a standard microscopic simulation.on with the simulation results of other, well-established simulation models.

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“…One widespread operational model is the Social Force Model [11]. Pedestrian dynamics can be simulated on three different scales [12]: macroscopic, mesoscopic, and microscopic. Models on the macroscopic scale ensure fast simulations but have a low spatial resolution.…”

Section: Related Workmentioning

confidence: 99%

“…bottlenecks) can be simulated with a high spatial resolution, while less critical parts (e.g. open areas) can be computed using less costly models [12]. An interesting example for a combination of simulation models from different scales is the bidirectional coupling of a network flow model with a cellular automaton by Borrmann et al [19].…”

Section: Related Workmentioning

confidence: 99%

Oppilatio+ - A data and cognitive science based approach to analyze pedestrian flows in networks

et al. 2017

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Public transport services are a widespread and environmentally friendly option for mobility. In the majority of cases, passengers of public transport services will have to walk from a subway, train, or bus station to their desired travel destination. In an urban environment with a network of narrow streets, this can lead to crowd congestions during rush hour, due to the fact that passengers tend to arrive in waves. In order to monitor and analyze such crowding behavior, city planners, crowd managers, and organizers of public events must ascertain which routes these pedestrians will take from the respective station to their destination. The Oppilatio + approach is suitable for solving this problem. It is an easy-to-apply approach to predict way-finding behavior with a minimal set of information. The necessary data includes the schedule of incoming transport vehicles at the stations and the time-stamped count of pedestrians at the respective destinations. Under these conditions, the Oppilatio + approach is suitable for estimating the distribution of pedestrians on all possible walkways between stations and destinations. This information helps crowd control experts to recognize weak spots in the infrastructure and help event organizers to ensure an undisturbed arrival at their event. We validated our approach using two field experiments. The first one was a field study on a public event, and the second one was a case study for a large Swiss train station.

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Towards TransiTUM: A Generic Framework for Multiscale Coupling of Pedestrian Simulation Models based on Transition Zones

Cited by 14 publications

References 17 publications

A Middleware-Based Approach for Multi-Scale Mobility Simulation

A Middleware-Based Approach for Multi-Scale Mobility Simulation

A generic and density-sensitive method for multi-scale pedestrian dynamics

Oppilatio+ - A data and cognitive science based approach to analyze pedestrian flows in networks

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