Modeling traffic safety at urban four leg-signalized intersections

Risultato della ricerca: Paper

Abstract

According to the state-of-the-art of the methodologies, the development of safety performance functions (SPFs) for road sections and intersections requires the employment of statistical models to predict expected crash frequencies on the basis of traffic volumes and site characteristics to be surveyed and used as input to models. Nevertheless, literature reports several studies on issues deriving from data features or methodological approaches that may invalidate the efficiency of the models and the accuracy of the estimates. Drawing inspiration from the above mentioned considerations, the objective of this study is to develop safety performance functions for a sample of urban four leg-signalized intersections on the basis of 8 years of crash data in Palermo, Italy. Applications of the Conway-Maxwell model are presented for analyzing traffic crash data exhibiting underdispersion. Results comforted authors on the potential of the Conway- Maxwell model to account for dispersion phenomenon and to provide a good goodness-of-fit, as long as the temporal correlation in the data is not considered. In this regard, the GEE model, incorporating the time trend, allowed to gain further methodological insights compared to models that do not accommodate the temporal correlation in crash data.
Lingua originaleEnglish
Stato di pubblicazionePublished - 2013

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Modeling
Traffic
Safety
Palermo
Statistical Model
Roads
Methodology
Italy
Statistical Models

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Automotive Engineering
  • Building and Construction
  • Civil and Structural Engineering
  • Architecture
  • Computer Science Applications
  • Safety Research
  • Transportation
  • Arts and Humanities (miscellaneous)

Cita questo

@conference{166ae505dc214f9dbee7c35c6818f205,
title = "Modeling traffic safety at urban four leg-signalized intersections",
abstract = "According to the state-of-the-art of the methodologies, the development of safety performance functions (SPFs) for road sections and intersections requires the employment of statistical models to predict expected crash frequencies on the basis of traffic volumes and site characteristics to be surveyed and used as input to models. Nevertheless, literature reports several studies on issues deriving from data features or methodological approaches that may invalidate the efficiency of the models and the accuracy of the estimates. Drawing inspiration from the above mentioned considerations, the objective of this study is to develop safety performance functions for a sample of urban four leg-signalized intersections on the basis of 8 years of crash data in Palermo, Italy. Applications of the Conway-Maxwell model are presented for analyzing traffic crash data exhibiting underdispersion. Results comforted authors on the potential of the Conway- Maxwell model to account for dispersion phenomenon and to provide a good goodness-of-fit, as long as the temporal correlation in the data is not considered. In this regard, the GEE model, incorporating the time trend, allowed to gain further methodological insights compared to models that do not accommodate the temporal correlation in crash data.",
author = "Orazio Giuffre' and Roberta Marino and Anna Grana' and Tullio Giuffr{\`e}",
year = "2013",
language = "English",

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TY - CONF

T1 - Modeling traffic safety at urban four leg-signalized intersections

AU - Giuffre', Orazio

AU - Marino, Roberta

AU - Grana', Anna

AU - Giuffrè, Tullio

PY - 2013

Y1 - 2013

N2 - According to the state-of-the-art of the methodologies, the development of safety performance functions (SPFs) for road sections and intersections requires the employment of statistical models to predict expected crash frequencies on the basis of traffic volumes and site characteristics to be surveyed and used as input to models. Nevertheless, literature reports several studies on issues deriving from data features or methodological approaches that may invalidate the efficiency of the models and the accuracy of the estimates. Drawing inspiration from the above mentioned considerations, the objective of this study is to develop safety performance functions for a sample of urban four leg-signalized intersections on the basis of 8 years of crash data in Palermo, Italy. Applications of the Conway-Maxwell model are presented for analyzing traffic crash data exhibiting underdispersion. Results comforted authors on the potential of the Conway- Maxwell model to account for dispersion phenomenon and to provide a good goodness-of-fit, as long as the temporal correlation in the data is not considered. In this regard, the GEE model, incorporating the time trend, allowed to gain further methodological insights compared to models that do not accommodate the temporal correlation in crash data.

AB - According to the state-of-the-art of the methodologies, the development of safety performance functions (SPFs) for road sections and intersections requires the employment of statistical models to predict expected crash frequencies on the basis of traffic volumes and site characteristics to be surveyed and used as input to models. Nevertheless, literature reports several studies on issues deriving from data features or methodological approaches that may invalidate the efficiency of the models and the accuracy of the estimates. Drawing inspiration from the above mentioned considerations, the objective of this study is to develop safety performance functions for a sample of urban four leg-signalized intersections on the basis of 8 years of crash data in Palermo, Italy. Applications of the Conway-Maxwell model are presented for analyzing traffic crash data exhibiting underdispersion. Results comforted authors on the potential of the Conway- Maxwell model to account for dispersion phenomenon and to provide a good goodness-of-fit, as long as the temporal correlation in the data is not considered. In this regard, the GEE model, incorporating the time trend, allowed to gain further methodological insights compared to models that do not accommodate the temporal correlation in crash data.

UR - http://hdl.handle.net/10447/91644

M3 - Paper

ER -