Journal ArticleDOI
Differences in causality factors for single and multi-vehicle crashes on two-lane roads.
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TLDR
This paper investigates the relationship between traffic intensity or level of service (LOS) and highway crash rates by including the effects of site characteristics and estimating Poisson regression models for predicting single and multi-vehicle crashes separately, focusing on rural two-lane highways.About:
This article is published in Accident Analysis & Prevention.The article was published on 1999-11-01. It has received 100 citations till now. The article focuses on the topics: Crash & Poison control.read more
Citations
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Journal ArticleDOI
Driver injury severity: an application of ordered probit models.
TL;DR: The results suggest that pickups and sport utility vehicles are less safe than passenger cars under single-vehicle crash conditions and that males and younger drivers in newer vehicles at lower speeds sustain less severe injuries.
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Mixed logit analysis of bicyclist injury severity resulting from motor vehicle crashes at intersection and non-intersection locations.
TL;DR: Results of likelihood ratio tests reveal that some of the factors affecting bicyclist injury severity at intersection and non-intersection locations are substantively different and using a common model to jointly estimate impacts on severity at both types of locations may result in biased or inconsistent estimates.
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Explaining two-lane highway crash rates using land use and hourly exposure
TL;DR: The results show that traffic intensity explains differences in crash rates even when controlling for time of day and light conditions, and that these effects are quite different for single and multi-vehicle crashes.
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Safe Streets, Livable Streets
Eric Dumbaugh,J. L. Gattis +1 more
TL;DR: In this article, the authors examine the subject of livable streetscape treatments and find compelling evidence that suggests they may actually enhance the safety of urban roadways, and suggest that concerns about their safety effects do not appear to be founded on empirical observations of crash performance, but instead on a design philosophy that discounts the important relationship between driver behavior and safety.
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Bayesian random effect models incorporating real-time weather and traffic data to investigate mountainous freeway hazardous factors.
TL;DR: The results indicate that the weather condition variables, especially precipitation, play a key role in the crash occurrence models and imply that different active traffic management strategies should be designed based on seasons.
References
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Journal ArticleDOI
Categorical Data Analysis
TL;DR: In this article, categorical data analysis was used for categorical classification of categorical categorical datasets.Categorical Data Analysis, categorical Data analysis, CDA, CPDA, CDSA
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Model Selection and Akaike's Information Criterion (AIC): The General Theory and Its Analytical Extensions.
TL;DR: In this article, the entropy-based information criterion (AIC) has been extended in two ways without violating Akaike's main principles: CAIC and CAICF, which make AIC asymptotically consistent and penalize overparameterization more stringently.
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Accident models for two-lane rural segments and intersections
Andrew Vogt,Joe Bared +1 more
TL;DR: In this paper, data collected from the states of Minnesota and Washington on rural two-lane highways are used to build accident models for segments and three-legged and four-legged intersections stop controlled on the minor legs.
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Relationship Between Volume-to-Capacity Ratios and Accident Rates
Min Zhou,Virginia P Sisiopiku +1 more
TL;DR: In this article, the general relationship between hourly accident rates and hourly traffic volume/capacity (vie) ratios was examined and a 26 km (16 mi) segment of Interstate I-94 in the Detroit area was selected as the study segment.
Journal Article
Relationship of accident rates and accident involvements with hourly volumes
TL;DR: Schoppert et al. as mentioned in this paper investigated the relationship between traffic volume and accidents and found that average daily traffic was significantly related to accident occurrence and to other roadway characteristics that it was a good predictor of accident rates.