"Machine Learning Tools for Predicting the Outcome of Pedestrian Crashes: ..."

Mauro D'Apuzzo et al. (2024)

> Home

Details and statistics

DOI: 10.1007/978-3-031-65332-2_8

access: closed

type: Conference or Workshop Paper

metadata version: 2024-09-08

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/iccsa/DApuzzoCNGN24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iccsa/DApuzzoCNGN24
Mauro D'Apuzzo, Giuseppe Cappelli, Sofia Nardoianni, Michele De Guidi, Vittorio Nicolosi:
Machine Learning Tools for Predicting the Outcome of Pedestrian Crashes: Preliminary Findings in the Metropolitan City of Rome. ICCSA (Workshops 10) 2024: 116-132

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.