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A SIMULATOR TO ASSESS PEDESTRIAN BEHAVIOUR
Coordinator:Elisabete Freitas
Francisco Soares
AnPeB – Analysis of pedestrian behaviour based on simulatedurban environments and its incorporation in risk modelling
How is a project focused on analyzing pedestrian behavior related to sustainability?
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The number of road accidents happening worldwide is still high, principallythose regarding VRUs;
About 21% of road fatalities happened in European Union countries arepedestrians;
The pedestrian safety and their interaction with road traffic need to beexplored.
Life losses Economic and Environmental
costs
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Pedestrian Simulator as a tool
To assess the pedestrian crossing behaviour, identifying factors regarding thecharacteristics of traffic, of road infrastructure and its evolving affectingpedestrian risk.
Users face situations of potential danger without jeopardizing their
physical integrity.Great control of all variables.
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Configuration of virtual scenarios
Analysis of pedestrian behaviour in virtual
environment
MAIN TASKS
Analysis of pedestrian behaviour in real
environment
TASK 1: Analysis of pedestrian behaviour in real environment
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Data collection to:- The parametrization of variables to be inserted in the roadenvironment simulation (Vehicles’ speeds and trajectories);- The validation of the simulator;- Model the pedestrian risk.
Video recordings of pedestrians crossing the road at 12 crosswalks.
GOAL
METHOD
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Data collection in real environment
2 hours vídeo recordings at 12 crosswalks
MET
HO
D
Automated video analysis using the Traffic Intelligence software
Vehicles and Pedestrians’ trajectories and speeds
TASK 2: Configuration of virtual scenarios
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To develop the audio-visual scenarios to be implemented in thesimulator.GOAL
METHODImportation of 3D information gathered from the videos;Controlled noise acquisitions.
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Configuration of virtual scenarios
Modelling the visual component
Cre
atio
n o
f vi
rtu
al
scen
ario
s
Modelling the vehicles’ movement
Modelling the audio component
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Example of a scenario modelling (Blender)
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Statistical analysis of data gathered about vehicles’ speeds and
trajectories
Definition of the movement conditions
(Di, Df, Vi e Vf)
Sound acquisitions with speed and
position registering in time
Implementation of speed and position in Blender
Modelling the vehicles approaching movement
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Vi Vf Di, mov Di Df
20 20 35 - -
30 30 35 - -
20 20 30 - -
30 30 30 - -
20 20 25 - -
30 30 25 - -
30 10 30 25 5
20 10 30 15 10
20 0 30 15 5,5
30 0 30 20 5,5
Definition of the protocol to the
sound and movement acquisition campaign
Sound acquisitions
using gasoline combustion and electric vehicles
Synchronization of the sound
samples and the movement files
Audio files editing according the time
registered in the movement files
Implementingthe sound in
Blender
Synchronization of the visual and
audio components of the scenarios
Modelling the audio component
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HATS set-up during the sound acquisitions (CPB
acquisitions)
Tire microphones set-up during the sound acquisitions (CPX
acquisitions)
Sound auralization
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CPXFilter
CPX → CPB
Spatial Audio Engine
BinauralAudio
L
R
- Air absorption
- Spherical divergence
- Road surface reflection
Motion tracking
Sound source
(vehicle)
Receptor position
(participant)
TASK 3: Analysis of pedestrian behaviour in virtual environment
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Data collection for the study of the impact of several variables relatedto the perception and behaviour of pedestrians during conflicts withroad traffic.
GOAL
METHODConduction of a set of experiments with a sample of more than 100participants.
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8
9
10
Guimarães Braga total
Tim
e-to
-coll
isio
n (
TT
C)
(s)
Street
Virtual
Real
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Website:https://anpeb1619.wixsite.com
Contacts:Elisabete FreitasE-mail: [email protected].: +351 253 510 200 (493)
Francisco SoaresE-mail: [email protected]
