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Negative binomial analysis of intersection accident frequencies

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TLDR
In this article, a negative binomial regression of the frequency of accidents at intersection approaches is proposed to estimate the accident reduction benefits of various proposed intersection improvements on operationally deficient intersections.
Abstract
Traffic accidents at urban intersections result in a huge cost to society in terms of death, injury, lost productivity, and property damage. Unfortunately, the elements that effect the frequency of intersection accidents are not well understood and, as a result, it is difficult to predict the effectiveness of specific intersection improvements that are aimed at reducing accident frequency. Using seven-yr accident histories from 63 intersections in Bellevue, Washington (all of which were targeted for operational improvements), this paper estimates a negative binomial regression of the frequency of accidents at intersection approaches. The estimation results uncover important interactions between geometric and traffic-related elements and accident frequencies. The findings of this paper provide exploratory methodological and empirical evidence that could lead to an approach to estimate the accident reduction benefits of various proposed improvements on operationally deficient intersections.

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Citations
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Journal ArticleDOI

The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives

TL;DR: In the absence of detailed driving data that would help improve the identification of cause and effect relationships with individual vehicle crashes, most researchers have addressed this problem by framing it in terms of understanding the factors that affect the frequency of crashes -the number of crashes occurring in some geographical space (usually a roadway segment or intersection) over some specified time period as mentioned in this paper.
Journal ArticleDOI

Analytic methods in accident research: Methodological frontier and future directions

TL;DR: A review of the evolution of methodological applications and available data in highway-accident research can be found in this article, where fruitful directions for future methodological developments are identified and the role that new data sources will play in defining these directions is discussed.
Journal ArticleDOI

Modeling Traffic Accident Occurrence and Involvement

TL;DR: The model illustrated the significance of the Annual Average Daily Traffic (AADT), degree of horizontal curvature, lane, shoulder and median widths, urban/rural, and the section's length, on the frequency of accident occurrence.
Journal ArticleDOI

Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory

TL;DR: In this article, it is shown that the fundamental crash process follows a Bernoulli trial with unequal probability of independent events, also known as Poisson trials, and that the Poisson and other mixed probabilistic structures are approximations assumed for modeling the motor vehicle crash process.
Journal ArticleDOI

Highway accident severities and the mixed logit model: an exploratory empirical analysis.

TL;DR: This paper demonstrates a modeling approach that can be used to better understand the injury-severity distributions of accidents on highway segments, and the effect that traffic, highway and weather characteristics have on these distributions.
References
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Book

Discrete Choice Analysis: Theory and Application to Travel Demand

TL;DR: In this article, the authors present the methods of discrete choice analysis and their applications in the modeling of transportation systems and present a complete travel demand model system presented in chapter 11, which is intended as a graduate level text and a general professional reference.
Journal ArticleDOI

Discrete Choice Analysis: Theory and Application to Travel Demand

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Effect of roadway geometrics and environmental factors on rural freeway accident frequencies.

TL;DR: Insight is offered into potential measures to counter the adverse effects of weather on highway sections with challenging geometrics by studying the relationship between weather and geometric elements.
Journal ArticleDOI

Modeling vehicle accidents and highway geometric design relationships

TL;DR: It is demonstrated that the conventional linear regression models lack the distributional property to describe adequately random, discrete, nonnegative, and typically sporadic vehicle accident events on the road, and are not appropriate to make probabilistic statements about vehicle accidents.
Book

Principles of Highway Engineering and Traffic Analysis

TL;DR: In this paper, the authors present a detailed analysis of the highway infrastructure and traffic flow in terms of the number of vehicles passing, stopping sight distance, and horizontal curve design for highway traffic.
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