A Unified Pedestrian Routing Model Combining Multiple Graph-Based Navigation Methods

Kielar, Peter M.; Biedermann, Daniel H.; Kneidl, Angelika; Borrmann, André

doi:10.1007/978-3-319-33482-0_31

Cited by 11 publications

(5 citation statements)

References 9 publications

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“…Since we simulate the course of an event and not an evacuation situation, a shortest path approach [73] is not sufficient to calculate the route to the next target. Consequently, we used the unified routing model to apply a more realistic rout choice behavior [74] on this visibility graph.…”

Section: Used Simulation Layersmentioning

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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Section: Used Simulation Layersmentioning

confidence: 99%

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

Biedermann,

Clever,

Borrmann

2020

Preprint

Self Cite

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“…The tactical level determines which route a human takes to reach a given target: If a person wants to visit the bakery, tactical models determine which route a pedestrian will follow to get from her 1 current position to the bakery. Different tactical models exist, from simple shortest path algorithms [9] to models based on psychological and cognitive findings [10]. The actual walking behavior is simulated on the operational level.…”

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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“…For a more realistic modelling of route selection and knowledge about building structures, first approaches exist which, for example, consider the perception of congestion in front of doors for a rerouting [7], introduce different knowledge levels and uncertainties about distances [8,9], modelling the influence of signage [10][11][12] or incorporating knowledge about the building by modelling cognitive maps, landmarks or generalised knowledge [13]. Although this progress has been achieved, in practice analyses are limited to a few explicit route selection scenarios.…”

Section: Introductionmentioning

confidence: 99%

Network Simulation for Pedestrian Flows with HyDEFS

et al. 2020

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The reliable simulation of pedestrian movement is an essential tool for the security aware design and analysis of buildings and infrastructure. We developed HyDEFS, an event-driven dynamic flow simulation software which is designed to simulate pedestrian movement depending on varying routing decisions of the individual users and varying constraints. HyDEFS uses given density depending velocities to model congestions and evaluates flow distributions with respect to average and maximum travel time. This is of particular importance when considering evacuation scenarios. We apply HyDEFS on two small networks and cross validate its results by time-discrete and time-continuous calculations.

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A Unified Pedestrian Routing Model Combining Multiple Graph-Based Navigation Methods

Cited by 11 publications

References 9 publications

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

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

Network Simulation for Pedestrian Flows with HyDEFS

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