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arXiv Machine Learning By Ahmed Hossain, Xiaoduan Sun

Assessing the Role of Intersection Proximity in Pedestrian Crashes: Insights from Data Mining Approach

Read the original on arXiv Machine Learning →

arXiv:2604. 28065v2 Announce Type: replace-cross Abstract: Although intersections are the most complex parts of the roadway network, pedestrian crashes at non-intersection locations are disproportionately frequent, highlighting a serious traffic safety concern.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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