P-ISSN 2652-4260
E-ISSN 2652-4252
Vol. 27, Issue 1, 2016February 10, 2016 AEST
ccby-4.0
A Road Safety Risk Prediction Methodology for Low Volume Rural Roads
A Road Safety Risk Prediction Methodology for Low Volume Rural Roads
Articles in Vol. 27, Issue 1, 2016
Vol. 27, Issue 1, 2016
- Prevalence of Affective States in Australian Truck and Train DriversTaryn ChalmersSara Lal
- Safety Culture and Speeding in the Australian Heavy Vehicle IndustryJason EdwardsJeremy DaveyKerry Armstrong
- A Road Safety Risk Prediction Methodology for Low Volume Rural RoadsDale HarrisPaul DurdinColin BrodieFergus TateRobyn Gardener
- Laser Ablated Removable Car Seat Covers for Reliable Deployment of Side AirbagsArun VijayanAmit JadhavRajiv Padhye
- Heavy Vehicle Driver Fatigue: Evidence-based Policy MakingMarcus BurkeJames WilliamsNick Fischer
- Driving Heavy Vehicle Safety Through Technology: Challenges, Results and Lessons Learned at Toll Group: A Contextual OverviewSarah Jones
- In-truck Cameras at Toll NQXGreg SmithSarah Jones
- Driver State Sensing (DSS) Machines at Toll Resources and Government LogisticsBill LawSarah Jones
- Road Safety: A Reliable Investment for Every Profitable Heavy Vehicle BusinessJerome Carslake
Harris, D., Durdin, P., Brodie, C., Tate, F., & Gardener, R. (2016). A road safety risk prediction methodology for low volume rural roads. Journal of Road Safety, 27(1), 26–33.