pedestrian crossing by night time condition: issues from a ... · studies on street-crossing...
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![Page 1: Pedestrian crossing by night time condition: issues from a ... · Studies on street-crossing behaviour – Scenario: 3 vehicles approaching at constant speed – Gap acceptance paradigm:](https://reader033.vdocument.in/reader033/viewer/2022050101/5f404bf704584276d453a1ad/html5/thumbnails/1.jpg)
French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Pedestrian crossing
by night time condition:
issues from a simulator study in virtual environment
Jean-Michel AUBERLETTRB 2017, Workshop 149C
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Outline
● Ifsttar-Lepsis lab● Driving simulator● Pedestrian and VR● Pedestrian & Night condition in VR● Discussion
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Lepsis’team
● And more than 10 non permanent people
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
LEPSIS’lab
● Laboratory for road Operations, Perception, Simulators and Simulations
● LEPSiS conducts applied research at the interface of Computer Science and Cognitive Science:– Vision (human & artificial)
– Virtual Reality applied to “Driving” Simulators.
● LEPSiS runs exceptional experimental facilities:– Photometry and Visibility Laboratory,
– “Driving” Simulators
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
IFSTTAR – LEPSIS’s major simulators3 full-cab car simulators Moving-base car simulator
With yaw motion
2 pedestrian simulatorsFor navigating and street crossing
Bicycle simulator
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Institut français des sciences et technologies des transports, de l’aménagement et des réseaux
www.ifsttar.fr
Implantation
St Brieuc Caen
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Motor Sensori
Software
Sensorimotor loop
Dynamic car
modelSound
Non player
character
Dynamic car
modelscenario
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
A simulator
● Several components– Visual
● Screen, image (HDR) …
– Sound
– Interface● Steering wheel,● Haptic device
– Software● Non player character, scenario...
● Configuration– Desktop → motion-based
● Uses– Validation (objective and subjective process)
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
● Different simulators– One simulator for one user
● Driver, pedestrian, rider...
– One simulator for one situation● Motorway, rural road, urban...
● Different configuration– Motion-based
– ...
– desktop
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Different kind of studies
● To improve the knowledge of human behaviors (driver, pedestrian...)– Impact of distracting objects (smartphone)
– Perception in in poor visibility driving (fog, night)
– Influence of age, social environement, experience on the behavior (driver, pedestrian)
– Impact of alcohol, drugs on driving
– Drowsiness
● Conception and evaluation– infrastructure
– Road devices
– Ergonomic features
– New ITS● Autonomous car
● To conduct hazardous studies (in safe environment)● Learning
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Validation ?
Good use ?
User(s) x situation(s)
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Institut français des sciences et technologies des transports, de l’aménagement et des réseaux
www.ifsttar.fr
Subjective and objective evaluation of virtual agents and trafficDarty et al. 2014, International Conference on Intelligent Virtual AgentsKetenci et al. 2012, Transportation Research Board
And other ongoing researches…
Perception-action coupling for street crossing simulationMaillot et al. 2016, Cognitive Aging ConferenceLobjois & Cavallo 2009, Accident analysis and prevention
Self-speed cues used on a bicycle simulatorCaro & Bernardi 2015, Driving Simulation Conference
Visuo-proprioceptive rendering for motion perception in motorcycle simulationLobjois et al. 2016, Transportation Research Part FLobjois et al. 2016, Ergonomics
Drivers’ control performance as a function of simulators’ configurationRosey & Auberlet 2014, Transportation Research Part F
Evaluating simulators(through human centered approaches)
High Dynamic Range displayRanchet et al. 2016, Accident Analysis and PreventionShahar et al. 2016, Lighting Research & Technology
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Institut français des sciences et technologies des transports, de l’aménagement et des réseaux
www.ifsttar.fr
Pedestrian and Virtual Relaty
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Institut français des sciences et technologies des transports, de l’aménagement et des réseaux
www.ifsttar.fr
Pedestrian, walking: a complex system
Transportation issues
healtheconomy
environment
safety
Street crossing ITS (car)
mobility
Crowd management
urban development
GHG emissions
Obesity
cardiovascular disease
pedestrian falls
Noise emmission
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Challenge for pedestrian studies
● “the opportunity for experiential, active learning and the ability to objectively measure behavior in challenging but safe and ecologically-valid environments while maintaining strict experimental control over stimulus delivery and measurement” (Weiss 2004).
● 2015 – Workshop 182– Virtual Reality and Efficient Tools for Pedestrian Mobility and Safety
– P15-6297 – The Use of Simulators for Improving Elderly Pedestrian Safety
● Viola Cavallo, IFSTTAR – LEPSIS● Aurelie Dommes, IFSTTAR – LEPSIS
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Pedestrian studies: other examples
● Pedestrian simulators to design and evaluate intelligent transportation systems
● IFSTTAR – LEPSIS– Aurélie Dommes
– Angélique Montuwy
– Fabrice Vienne
– Thong Dang
Aurélie Dommes, IFSTTAR - LEPSIS
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Intelligent transportation systems allowing communications between pedestrians, vehicles and infrastructure
● Since yet several years now, one of the hot R&D subjects for road safety is :– V2V (Vehicle-to-Vehicle)
– and V2I (Vehicle-to-Infrastructure) communications.
● Attention has been put, for example, in detecting pedestrians and predicting the possibility of collisions using vehicle embedded sensors and computer vision techniques.
● Very limited efforts are made on communication mechanisms between pedestrians and vehicles, or between pedestrians and infrastructure to allow for– safer itineraries (e.g., to alert pedestrians about the presence of crosswalks, traffic lights
and obstacles)
– safer street-crossing behaviors (e.g., to detect oncoming vehicles before a sufficient amount of time so that reactions for accident avoidance can be taken by pedestrians).
Aurélie Dommes, IFSTTAR - LEPSIS
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
● Recent studies at the LEPSiS laboratory were aimed at designing and testing the effectiveness of new intelligent transportation systems allowing communications between pedestrians, vehicles and infrastructure.
● Using a simulator is required to allow for a safe and controlled environment, and to test prototypal devices emulating the total and precise communication between infrastructure, vehicles and pedestrians needed for such prototypes, which are not available yet with current technologies but will potentially be possible in a near future with increasing research and developments on connected objects and autonomous vehicles.
Aurélie Dommes, IFSTTAR - LEPSIS
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
The street-crossing simulator● 10 screens (2.55m x 1.88m) forming a corridor in which the
pedestrian can actually walk up to 7 meters
● The images (60 frames per second) are updated interactively by a movement-tracking system that records the participant’s locomotion (sub-millimeter accuracy) and head motion.
● The images represent a two-way street, with vehicles approaching from both sides
This simulator has been used to test a intelligent system allowing pedestrians make safer street-crossing decisions thanks to a smartwatch delivering vibrotactile alerts.
Aurélie Dommes, IFSTTAR - LEPSIS
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
The pedestrian navigation simulator
● The pedestrian navigation simulator allows participants to navigate in a city using a joystick.
● The system includes three 46-inch LCD screens fixed on a U-shaped, shoulder-high metallic frame in front of the participant.
● The system displays 3D visual data representing an urban environment with traffic.
This simulator has been used to test an intelligent navigation system designed to help pedestrians navigate safely in an unknown urban environment
thanks to visual, auditory and/or vibrotactile guidance feedbacks.
Aurélie Dommes, IFSTTAR - LEPSIS
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
New situation for pedestrians in VR
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Night time conditions !!
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Road safety
● US 2013– 4735 pedestrians were killed (~66,000 injured)
– Dark (72%), daylight (25%), dawn (2%), dusk (2%)
● France 2014– 543 pedestrians were killed (~11,533 injured)
– Day (72%), dark (28%)● Mortality rate is higher in dark conditions
● Pedestrian Safety in night condition is a major stake
● Virtual environment is a suitable tool ?
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
High Dynamic Range (HDR) Displays
● The luminance range of usual display devices is limited with respect to the actual visual experience
● Three main problems: limited contrast, poor black, rough sensitivity (8-bit images), no glare.
● Seetzen et al. (2004) designed a High Dynamic Range device, which was further available on the market
● What’s new? Near scotopic black values, high contrasts (1000 times better), 16-bit images, limited glare.
→ HDR display may contribute to virtual reality experiments in nighttime environments.
Seetzen, Heidrich, Stuerzlinger, Ward, Whitehead, Trentacoste, Ghosh & Vorozcovs (2004).High dynamic range display systems. In Proc. ACM SIGGRAPH 2004, Joe Marks (Ed.). ACM, New York, NY, USA, 760-768.
HDR display device prototype
Roland Brémond, IFSTTAR - LEPSIS
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
HDR Displays in transportation studies
Several studies have been conducted at the IFSTTAR institute in recent years, focusing on nighttime transportation issues
Behavioral study: testing an innovative LED-based road studs system – vehicle control improvement in curves at night (INROADS European Project, published in Lighting Research and Technology). [driver]
Behavioral study: assessing the driver’s behavior in glary conditions at night with a cataract pathology (Brémond, Dommes & Engel, unpublished). [driver]
Virtual Reality study: assessing the relevance of HDR displays with respect to the time-to-collision estimate in nighttime environments (Villa, Brémond, Girard & Ranchet, unpublished). [driver, pedestrian]
Roland Brémond, IFSTTAR - LEPSIS
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Study
● Impact of night conditions on pedestrians’ decision to cross the street
● Road safety challenge
● To define a pertinent apparatus
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
ApparatusExperimental setup
HDR screen
The instrumentation used
PC
Instruments for the reproduction of sounds and user command
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Experimental setup
• In relation to the height of the point observed (1.75 meters), the height of each participant is modified through the use of a variable height support
• All participants are positioned at a predetermined distance from the screen
• Urban one-way street
• The participant is invited to look in a precise point on the screen in relationship at the coordinates of appearance of the vehicles
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Day
Dusk
Night
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Experiment● 31 participants between 25 and 45 year old (31 +/- 6)
– 18 men and 13 women
● Independent variable– Illuminating conditions
● Day vs dusk vs night
– Time gap● 1s to 6 sec (step 1)
– Vehicle speed● Slow (40km/h) et fast (60 km/h)
● Dependent variables– Decision rate
– Unsafe decision rate
– Initiation time
– Safety margin
● Protocol– Walking speed measures
– Familiarization phase● 18 trials
– Experimental phase● 16 time gaps * 2 speeds * 3 illuminating conditions● 96 trials per subject
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Relevance our simulator
● Comparison with previous studies● With a different simulator● Only for day conditions
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Inrets one-way street-crossing simulator
PC ComputerSilicon Graphics
Hand-held button
Screens
ovement king system
Projectors
Screens
Movement tracking system
Silicon Graphics
PC Computer
Hand-held button
Simulation device adapted from our driving simulator Sim2
• Real portion of road (4.2 m) with markings on the floor• Computer-generatedimages projected on 3 screens,displaying traffic from one side• Movement trackingsystem (cable attached to the waist)
Viola Cavallo, IFSTTAR - LEPSIS
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Studies on street-crossing behaviour
– Scenario: 3 vehicles approaching at constant speed– Gap acceptance paradigm: judgment whether crossing
betweenthe 2nd and 3rd vehicle was possible
Studies using theone-way street-crossing simulator
Experimental gap 1 – 8 s 1,5 s 1,5 s
Lobjois & Cavallo, AAP, 2007, 2009Lobjois et al., AAP, 2012
Intervenant - date
Viola Cavallo, IFSTTAR - LEPSIS
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• Experimental variables:– Age of pedestrians (20-30; 60-70; 70-80)– Speed of approaching cars (40, 50, 60 km/h)– Available time gap (1 – 8 s)– Decision making with vs. without time pressure– Task: judgment vs. actual crossing
• Behavioural indicators– Median accepted time gap– Crossing initiation time– Safety margin (SM)– Unsafe crossing decisions (SM < 1.5 s)– Missed opportunities
Intervenant - date
Studies using theone-way street-crossing simulator
Viola Cavallo, IFSTTAR - LEPSIS
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Results:Time Gap Trends
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Results:Unsafe decision trends
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Conclusion
● Our apparatus (and our study)– First validation (trends)
● Day conditions
● “good” results
● Other illuminating conditions can be interpreted
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Results of this study
● Impact of illumination conditions on street-crossings decisions– Decision (illumination condition, speed, time gap)
– Unsafe decision (illumination condition, speed, time gap)
● Paper: 17-05175– IMPACT OF DAY, DUSK, AND NIGHT CONDITIONS ON
PEDESTRIANS’ DECISION TO CROSS THE STREET
– Session: 806, Pedestrian Safety and Behavior
– Session Location: Hall E / Convention Center
– Session Time: Wednesday, Jan 11, 2017 8:00AM 9:45AM
– Posterboard Location Code: H323
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Discussion
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
SWOT of driving simulators
● Strength– “low cost”
– Safe env.
● Opportunities– Social env.
– Popular (cost)
● Threats– standards
– validation
● Weakness– # real world
– Social env.
– protocol
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
Thank you for attention.
Questions?
IFSTTAR / COSYS / LEPSIS
Francehttp://www.lepsis.ifsttar.fr/en/the-institute/cosys/laboratories/lepsis/
[email protected] +33 (0)2 40 84 56 13
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French Institute of Science and Technology for Transport, Development and Networks
www.ifsttar.fr
● Identification of the objective– What kind of VR tools
● Standardization– devices and software
– Protocols (shared by the community)
● Validation– Tools
● Identification of the needed skills
– Results● Assessment of the learned skills
● Transfer to the real world– Sharing experiences
● Cross-comparison– Pedestrian
– Driver
● Impact of light– Car
– Public light
– Glare effect
– detection