Preventing emergency vehicle crashes: status and challenges of human factors issues

H Hsiao, J Chang, P Simeonov - Human factors, 2018 - journals.sagepub.com
Objective: This study reports current status of knowledge and challenges associated with the
emergency vehicle (police car, fire truck, and ambulance) crashes, with respect to the major …

Work zone safety analysis and modeling: a state-of-the-art review

H Yang, K Ozbay, O Ozturk, K Xie - Traffic injury prevention, 2015 - Taylor & Francis
Objective: Work zone safety is one of the top priorities for transportation agencies. In recent
years, a considerable volume of research has sought to determine work zone crash …

[图书][B] The handbook of road safety measures

R Elvik, A Høye, T Vaa, M Sørensen - 2009 - emerald.com
4.1 Tyre tread depth 4.2 Studded tyres 4.3 Antilock braking systems (ABS) and disc brakes
4.4 High-mounted stop lamps 4.5 Daytime running lights for cars 4.6 Daytime running lights …

Analysis of hourly crash likelihood using unbalanced panel data mixed logit model and real-time driving environmental big data

F Chen, S Chen, X Ma - Journal of safety research, 2018 - Elsevier
Introduction Driving environment, including road surface conditions and traffic states, often
changes over time and influences crash probability considerably. It becomes stretched for …

Geographical information systems aided traffic accident analysis system case study: city of Afyonkarahisar

S Erdogan, I Yilmaz, T Baybura, M Gullu - Accident Analysis & Prevention, 2008 - Elsevier
Geographical Information System (GIS) technology has been a popular tool for visualization
of accident data and analysis of hot spots in highways. Many traffic agencies have been …

A multivariate Poisson-lognormal regression model for prediction of crash counts by severity, using Bayesian methods

J Ma, KM Kockelman, P Damien - Accident Analysis & Prevention, 2008 - Elsevier
Numerous efforts have been devoted to investigating crash occurrence as related to
roadway design features, environmental factors and traffic conditions. However, most of the …

Severity of driver injury and vehicle damage in traffic crashes at intersections: a Bayesian hierarchical analysis

H Huang, HC Chin, MM Haque - Accident Analysis & Prevention, 2008 - Elsevier
Most crash severity studies ignored severity correlations between driver–vehicle units
involved in the same crashes. Models without accounting for these within-crash correlations …

Multilevel data and Bayesian analysis in traffic safety

H Huang, M Abdel-Aty - Accident Analysis & Prevention, 2010 - Elsevier
BACKGROUND: Traditional crash prediction models, such as generalized linear regression
model, are incapable of taking into account multilevel data structure. Therefore they suffer …

Indicators for traffic safety assessment and prediction and their application in micro-simulation modelling: A study of urban and suburban intersections

J Archer - 2005 - diva-portal.org
This chapter highlights several important and relevant issues related to Swedish traffic safety
statistics and the safety problems relative to urban areas. The main intention is to …

Approach-level real-time crash risk analysis for signalized intersections

J Yuan, M Abdel-Aty - Accident Analysis & Prevention, 2018 - Elsevier
Intersections are among the most dangerous roadway facilities due to the complex traffic
conflicting movements and frequent stop-and-go traffic. However, previous intersection …