P-ISSN 2652-4260
E-ISSN 2652-4252
Vol. 29, Issue 3, 2018August 16, 2018 AEST
ccby-4.0
Development of a Pedestrian Injury Prediction Model for Potential Use in an Advanced Automated Crash Notification (AACN) System
Development of a Pedestrian Injury Prediction Model for Potential Use in an Advanced Automated Crash Notification (AACN) System
Articles in Vol. 29, Issue 3, 2018
Vol. 29, Issue 3, 2018
- Recording of Alcohol in Official Crash Statistics: Underreporting and Procedures to Improve StatisticsLuuk VissersSjoerd HouwingFred Wegman
- Analysis of Trends in the Composition of Australasian Vehicle Fleets Associated With Pedestrian Injury SeverityMichael KeallAngelo D'EliaStuart NewsteadLinda Watson
- A Systematic Review of Bicycle Helmet Laws Enacted WorldwideMahsa EsmaeilikiaRaphael GrzebietaJake Olivier
- Safe Roads for Cyclists: An Investigation of Australian and Dutch ApproachesJoel DockerMarilyn Johnson
- Development of a Pedestrian Injury Prediction Model for Potential Use in an Advanced Automated Crash Notification (AACN) SystemGiulio PonteTetsuya Nishimoto
- The Age of Light Vehicles Involved in Road FatalitiesJason Smith
- Safe Speeds Part 1: Political Decisions and the Limited Adoption of Speed Management for Road SafetySoames Job
Ponte, G., & Nishimoto, T. (2018). Development of a pedestrian injury prediction model for potential use in an Advanced Automated Crash Notification (AACN) system. Journal of Road Safety, 29(3), 50–57.