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.