Generalized Linear Models (2nd ed.)

Motorcycle crashes and fatalities have been increasing rapidly during the past 12 years both in Ohio and across the rest of the United States. In response to these issues, various studies have examined aspects of motorcycle safety in recent years. However, there has been limited research on the effects of site-specific roadway geometry on the frequency of motorcycle crashes, particularly at nonintersection locations. Typically, researchers employ Poisson and negative binomial crash prediction modeling techniques in these types of studies. The research presented in this paper uses a negative binomial model, applying full Bayes methods to improve model performance and to assess the impacts of horizontal curvature and other geometric features on the frequency of single-vehicle motorcycle crashes along segments of rural two-lane highways. The data used in this study include crash records for the years 2002 through the spring of 2008, in combination with available geometric design information, for those curves...

Effects of Horizontal Curvature on Single-Vehicle Motorcycle Crashes Along Rural Two-Lane Highways

The purpose of this study was to examine statewide motorcycle crash data from the state of Ohio to identify those factors most strongly associated with the level of injury sustained by motorcyclists involved in crashes. The year 2009 marked the first time since 1997 that Ohio experienced fewer motorcycle fatalities than in the previous year; this result was consistent with national trends over this same period. Since anecdotal evidence suggested that much of this result was due to decreases in motorcycle travel, an investigation of rider, crash, and environmental factors that influenced injury severity was an important step toward sustaining this reduction. The effects of such factors in various types of motorcycle crashes were compared. Multinomial logit models were developed for single-vehicle and multivehicle motorcycle crashes at both intersection and nonintersection locations. The results showed that the impacts of relevant crash factors varied by crash type and location and that severe injuries were...

Comparison of Severity of Motorcyclist Injury by Crash Types

Project report submitted in fulfilment of the requirements for the award of Master of Philosophy degree in Roads and Transportation Engineering, 2009

Crash prediction model for two-lane rural highways in the Ashanti region of Ghana

Development of a Safety Performance Function for Motorcycle Accident Fatalities on Malaysian Primary Roads

This paper attempts to develop a prediction model for motorcycle crashes at non-signalized intersections on urban roads in Malaysia. The Generalized Linear Modeling approach was used to develop the model. The final model revealed that an increase in motorcycle and non-motorcycle flows entering an intersection is associated with an increase in motorcycle crashes. Non-motorcycle flow on major road had the greatest effect on the probability of motorcycle crashes. Approach speed, lane width, number of lanes, shoulder width and land use were also found to be significant in explaining motorcycle crashes. The model should assist traffic engineers to decide the need for appropriate intersection treatment that specifically designed for non-exclusive motorcycle lane facilities.

Motorcycle crash prediction models for non-signalized intersections

https://www.iatss.or.jp/common/pdf/en/publication/iatss-research/27-2-06.pdf

Motorcycle crash prediction model for non-signalized intersections

Predictive model for motorcycle accidents at three-legged priority junctions.

This paper presents a prediction model for motorcycle accidents at junctions on urban roads in Malaysia. The models were developed using the Generalized Linear Modeling approach. The final model reveals that motorcycle accidents are proportional to the rate of traffic flow. The estimates indicate that an increase in non-motorcycles and motorcycles entering a highway interchang is associated with an increase in motorcycle accidents. Non-motorcycle flow on major roads had the highest effect on the probability of accidents involving motorcycles. Approach speed, lane width, number of lanes, junction control, shoulder width, and land use were also found to be significant in explaining motorcycle accidents. The final model should allow traffic engineers to establish appropriate highway junction treatment that is specifically designed for motorcycle lane facilities.

Motorcycle accident prediction model for junctions on urban roads in Malaysia

Because more than half the motor vehicles in Malaysia are motorcycles, safety of this from of transportation is an important issue. As part of a motorcycle safety program, Malaysia became the first country to provide exclusive motorcycle lanes in the hopes of reducing motorcycle crashes along trunk roads. However, little work has been done to address intersection crashed involving motorcycles. This paper provides models for predicting motorcycle crashes at signalized intersections on urban roads in Malaysia. A generalized linear modeling technique with quasilikelihood approach was adopted to develop the models. Traffic entering the intersection, approach speed, lane width, number of lanes, shoulder width, and land use at the approach of the intersections were found to be significant in describing motorcycle crashes. These findings should enable engineers to draw up appropriate intersection treatment criteria specifically designed for motorcycle lane facilities in Malaysia and elsewhere.

W I Wan Hashim

Papers

Motorcycle crash prediction models for non-signalized intersections

Motorcycle crash prediction model for non-signalized intersections

Predictive model for motorcycle accidents at three-legged priority junctions.

Motorcycle accident prediction model for junctions on urban roads in Malaysia

Development of Prediction Models for Motorcycle Crashes at Signalized Intersections on Urban Roads in Malaysia