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Simulating Crowds and Autonomous Vehicles
Understanding how people view and interact with autonomous vehicles is i...
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Transfer Learning and Organic Computing for Autonomous Vehicles
Autonomous Vehicles(AV) are one of the brightest promises of the future ...
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A Hybrid Control Design for Autonomous Vehicles at Uncontrolled Intersections
As autonomous vehicles (AVs) inch closer to reality, a central requireme...
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On Designing Computing Systems for Autonomous Vehicles: a PerceptIn Case Study
PerceptIn develops and commercializes autonomous vehicles for micromobil...
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Detecting 32 Pedestrian Attributes for Autonomous Vehicles
Pedestrians are arguably one of the most safety-critical road users to c...
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Dynamic Interaction between Shared Autonomous Vehicles and Public Transit: A Competitive Perspective
The emergence of autonomous vehicles (AVs) is anticipated to influence t...
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DeepSurvival: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis
Pedestrian's road crossing behaviour is one of the important aspects of ...
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Virtual Immersive Reality for Stated Preference Travel Behaviour Experiments: A Case Study of Autonomous Vehicles on Urban Roads
Stated preference experiments have been known to suffer from the lack of realism. This issue is particularly visible when the scenario doesn't have a well understood prior reference e.g. in case of the autonomous vehicles related scenarios. We present Virtual Immersive Reality Environment (VIRE) that is capable of developing highly realistic, immersive, and interactive choice scenario. We demonstrate the use of VIRE in the pedestrian preferences related to autonomous vehicles and associated infrastructure changes on urban streets of Montréal. The results are compared with predominantly used approaches i.e. text-only and visual aid. We show that VIRE results in better understanding of the scenario and consistent results.
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