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Estimating city-wide hourly bicycle flow using a hybrid LSTM MDN

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  • Myhrmann, Marcus Skyum
  • Mabit, Stefan Eriksen

Abstract

Cycling can reduce greenhouse gas emissions and air pollution and increase public health. Hence, policymakers in cities worldwide seek to improve bicycle mode shares. Efforts to increase the bicycle’s mode share involve many measures, one of them being the improvement of cycling safety often requiring an analysis of the factors surrounding accidents. However, meaningful analysis of cycling safety requires accurate bicycle flow data that are generally sparse or only available at the aggregate level. Therefore, safety engineers often rely on aggregated variables or calibration factors that fail to account for variations in the cycling traffic relevant to policymaking.

Suggested Citation

  • Myhrmann, Marcus Skyum & Mabit, Stefan Eriksen, 2023. "Estimating city-wide hourly bicycle flow using a hybrid LSTM MDN," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    • Handle: RePEc:eee:transa:v:176:y:2023:i:c:s0965856423002033
    DOI: 10.1016/j.tra.2023.103783
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    References listed on IDEAS

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