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Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning

  • Published:2021-03 Issue: Volume:124 Page:102962
  • ISSN:0968-090X
  • Container-title:Transportation Research Part C: Emerging Technologies
  • language:en
  • Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Kalatian Arash,Farooq BilalORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference73 articles.

1. Feature selection for clustering: A review;Alelyani,2018

2. An odyssey into virtual worlds: exploring the impacts of technological and spatial environments on intention to purchase virtual products;Animesh;MIS Q.,2011

3. Optimum Experimental Designs, with SAS, Vol. 34;Atkinson,2007

4. Random search for hyper-parameter optimization;Bergstra;J. Mach. Learn. Res.,2012

5. The reality of virtual reality: A comparison of pedestrian behavior in real and virtual environments;Bhagavathula,2018

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