Bayesian spatial joint modeling of traffic crashes on an urban road network

Qiang Zeng; Helai Huang

doi:10.1016/j.aap.2014.02.018

ScienceGate Book Chapters

JOURNAL ARTICLE

Bayesian spatial joint modeling of traffic crashes on an urban road network

Qiang Zeng Helai Huang

Year: 2014 Journal: Accident Analysis & Prevention Vol: 67 Pages: 105-112 Publisher: Elsevier BV

DOI: 10.1016/j.aap.2014.02.018

Get Full-Text PDF Get Analytical Report

Keywords:

Negative binomial distribution Poisson distribution Crash Autoregressive model Joint (building) Computer science Bayesian network Bayesian probability Statistics Transport engineering Engineering Artificial intelligence Mathematics

Metrics

132

Cited By

23.06

FWCI (Field Weighted Citation Impact)

Refs

1.00

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Traffic and Road Safety

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Economic and Environmental Valuation

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

Urban Transport and Accessibility

Social Sciences → Social Sciences → Transportation

Bayesian spatial joint modeling of traffic crashes on an urban road network

Metrics

Citation History

Topics

Related Documents

BAYESIAN SPATIO-TEMPORAL ANALYSIS OF ROAD TRAFFIC CRASHES

Spatial Econometric Analysis of Road Traffic Crashes

Spatial development of urban road network traffic gridlock

Spatial Autocorrelation of Urban Road Traffic Based on Road Network Characterization

Quantifying the road network structure and its impact on road traffic crashes: A Bayesian CAR modelling approach