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Email

jasper.wijnands@unimelb.edu.au

Credentials


Position
Research Fellow - Arc Telematics Trial
Architecture, Building and Planning
Education
Science
University of Melbourne
Business Mathematics & Informatics
Vrije Universiteit Amsterdam
Business Mathematics & Informatics
Vrije Universiteit Amsterdam
ORCID

0000-0002-5832-4134

Dr. Jasper Wijnands

Research Fellow - Arc Telematics Trial
Architecture, Building and Planning

27 Scholarly works
1 Projects

HIGHLIGHTS

  • 2020

    Journal article

    Identifying safe intersection design through unsupervised feature extraction from satellite imagery
    DOI: 10.1111/mice.12623
  • 2020

    Journal article

    Streetscape augmentation using generative adversarial networks: Insights related to health and wellbeing
    DOI: 10.1016/j.scs.2019.101602
  • 2020

    Journal article

    Modeling and interpreting road geometry from a driver's perspective using variational autoencoders
    DOI: 10.1111/mice.12594
  • 2020

    Journal article

    A global analysis of urban design types and road transport injury: an image processing study.
    DOI: 10.1016/S2542-5196(19)30263-3
  • 2019

    Journal article

    Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks
    DOI: 10.1007/s00521-019-04506-0
  • 2018

    Research Grant

    Identification of road design characteristics associated with unsafe driving behaviours using in-vehicle telematics
  • 2018

    Journal article

    Identifying behavioural change among drivers using Long Short-Term Memory recurrent neural networks
    DOI: 10.1016/j.trf.2017.12.006
Jasper Wijnands

Latest Honours,
Awards and Fellowships


2019
Best Presentation Award ("Extracting knowledge from imagery using deep autoencoders") International Conference on Big Data Research 2019, Paris
2017
PhD Award: selected to attend the Global Young Scientist Summit 2017, Singapore Chancellery Research, The University of Melbourne

RECENT SCHOLARLY WORKS

  • 2020

    Journal article

    Assessing injury severity of secondary incidents using support vector machines
    DOI: 10.1080/19439962.2020.1754983
  • 2020

    Journal article

    The perils of perfect performance; considering the effects of introducing autonomous vehicles on rates of car vs cyclist conflict
    DOI: 10.1080/00140139.2020.1739326
  • 2020

    Journal article

    The "Paris-end" of Town?: Deriving Urban Typologies Using Three Imagery Types
    DOI: 10.3390/urbansci4020027
  • 2019

    Journal article

    Evidence for the 'safety in density' effect for cyclists: validation of agent-based modelling results
    DOI: 10.1136/injuryprev-2018-042763
  • 2019

    Conference Proceedings

    The Effects of Driver Feedback and Financial Incentives on Driving Behaviours: A Randomised Control Trial
    DOI: 10.1016/j.jth.2019.100719
  • 2019

    Journal article

    Reducing Cyclist Crashes by Assessing the Road Environment: An Application of Google Imagery and Machine Learning
    DOI: 10.1016/j.jth.2019.100698
  • 2019

    Journal article

    Learning to walk: Modeling transportation mode choice distribution through neural networks
    DOI: 10.1177/2399808319862571
  • 2019

    Journal article

    Opportunities to reduce road traffic injury: new insights from the study of urban areas.
    DOI: 10.1080/17457300.2019.1704790

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