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@INPROCEEDINGS{Cordes:906000,
author = {Cordes, Jakob and Chraibi, Mohcine and Tordeux, Antoine and
Schadschneider, Andreas},
title = {{T}ime-{T}o-{C}ollision {M}odels for {S}ingle-{F}ile
{P}edestrian {M}otion},
journal = {Collective dynamics},
volume = {6},
issn = {2366-8539},
address = {[Jülich]},
publisher = {[Forschungszentrum Jülich]},
reportid = {FZJ-2022-01173},
pages = {A133},
year = {2021},
abstract = {We apply the concept of time-to-collision (TTC) to the
modeling of pedestrian dynamics. The TTC combines the
spatial distances with the velocities to quantify the
'distance' to a collision. Therefore, it is a promising
candidate for modeling the interactions between pedestrians.
Empirical studies also indicate that the interaction between
pedestrians can be described by the TTC: While the pair
distribution of the distances, i.e. the probability of two
pedestrians to have a certain spatial distance, was found to
strongly depend on the relative velocity, the TTC accurately
parametrizes its pair distribution. However, there are still
few pedestrian models that use the TTC. After giving a
general definition of the TTC, we present the widely used
approximations for its calculation, especially in a
one-dimensional setting. Combined with a desired time-gap,
these give rise to different models, namely an
Optimal-Velocity model and a new Time-to-Collision model.
The TTC model exhibits, however, generic inconsistencies
which are related to the estimates we use to approximate the
speed of the predecessor. The estimates have a large impact
on the dynamics and must therefore be interpreted as
reflecting the pedestrians behavior, i.e. as anticipation
strategies. We propose new estimates for the predecessor's
speed. These give rise to a rich family of models based on
the TTC which are analyzed by means of linear stability
analysis and simulations.},
month = {Nov},
date = {2021-11-29},
organization = {Pedestrian and Evacuation Dynamics
2021, Sydney (Australia), 29 Nov 2021 -
30 Nov 2021},
cin = {IAS-7},
ddc = {380},
cid = {I:(DE-Juel1)IAS-7-20180321},
pnm = {5111 - Domain-Specific Simulation Data Life Cycle Labs
(SDLs) and Research Groups (POF4-511) / DFG project
446168800 - Multi-Agent-Modellierung der Dynamik von dichten
Fußgängermengen: Vorhersagen Verstehen (446168800)},
pid = {G:(DE-HGF)POF4-5111 / G:(GEPRIS)446168800},
typ = {PUB:(DE-HGF)16 / PUB:(DE-HGF)8},
doi = {10.17815/CD.2021.133},
url = {https://juser.fz-juelich.de/record/906000},
}