Screening to identify large truck potential blackspots : methodological issues and concerns


Autoria(s): Washington, Simon
Data(s)

20/06/2011

Resumo

1. Overview of hotspot identification (HSID)methods 2. Challenges with HSID 3. Bringing crash severity into the ‘mix’ 4. Case Study: Truck Involved Crashes in Arizona 5. Conclusions • Heavy duty trucks have different performance envelopes than passenger cars and have more difficulty weaving, accelerating, and braking • Passenger vehicles have extremely limited sight distance around trucks • Lane and shoulder widths affect truck crash risk more than passenger cars • Using PDOEs to model truck crashes results in a different set of locations to examine for possible engineering and behavioral problems • PDOE models point to higher societal cost locations, whereas frequency models point to higher crash frequency locations • PDOE models are less sensitive to unreported crashes • PDOE models are a great complement to existing practice

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/48823/

Relação

http://eprints.qut.edu.au/48823/1/Washington_BEE_Transport_Seminar_Series_Heavy_duty_truck.pdf

Washington, Simon (2011) Screening to identify large truck potential blackspots : methodological issues and concerns. In BEE Transport Seminar Series, 20 June 2011, Queensland University of Technology, Brisbane, Qld. (Unpublished)

Direitos

Copyright 2011 Simon Washington

Fonte

Centre for Accident Research & Road Safety - Qld (CARRS-Q); Faculty of Health; Institute of Health and Biomedical Innovation; School of Psychology & Counselling

Palavras-Chave #120000 BUILT ENVIRONMENT AND DESIGN #170000 PSYCHOLOGY AND COGNITIVE SCIENCES #Truck blackspots #Methodological issues #Transport
Tipo

Conference Item