Statistical methods 2009. A peer-reviewed publication of the Transportation Research Board TRB.

Author(s)
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Year
Abstract

TRB’s Transportation Research Record: Journal of the Transportation Research Board, No. 2136 includes 11 papers that explore aggregated and disaggregated Poisson-gamma models for modeling crash data; analyzing performance-based contracts with hazard-based duration and zero-inflated random parameters Poisson models; Poisson-based wavelet shrinkage site selection method for selecting crash data collection sites; Bayesian multinomial logit for modeling route choice; Bayesian mixture model for estimating freeway travel time distributions; dynamic spatial ordered probit model for analysis of ozone concentration patterns; investigating the variability of daily traffic counts with the ARIMAX and SARIMAX models; and using lattice data analysis, network K-functions, and geographic information system software to study ice-related crashes. This issue of the TRR also examines using Bayesian statistics to identify highway sections with atypically high rates of median-crossing crashes, Bayesian multivariate Poisson lognormal models for crash severity modeling and site ranking, and spatial autocorrelation and Bayesian spatial statistical method for analyzing intersections prone to injury crashes. (Author/publisher)

Publication

Library number
20100272 ST S [electronic version only]
Source

Washington, D.C., National Research Council NRC, Transportation Research Board TRB / National Academy Press, 2009, VII + 100 p., ref.; Transportation Research Record TRR ; No. 2136 - ISSN 0361-1981 / ISBN 978-0-309-14265-6

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.