[图书][B] Statistical and econometric methods for transportation data analysis

S Washington, MG Karlaftis, F Mannering… - 2020 - taylorfrancis.com
The book's website (with databases and other support materials) can be accessed here.
Praise for the Second Edition: The second edition introduces an especially broad set of …

[HTML][HTML] An international review of challenges and opportunities in development and use of crash prediction models

J Ambros, C Jurewicz, S Turner, M Kieć - European transport research …, 2018 - Springer
Purpose Over the past 10 years, building on road infrastructure data, crash prediction
models (CPMs) have become fundamental scientific tools for road safety management …

Modeling traffic crash-flow relationships for intersections: dispersion parameter, functional form, and Bayes versus empirical Bayes methods

SP Miaou, D Lord - Transportation Research Record, 2003 - journals.sagepub.com
Statistical relationships between traffic crashes and traffic flows at roadway intersections
have been extensively modeled and evaluated in recent years. The underlying assumptions …

Development of comprehensive accident models for two-lane rural highways using exposure, geometry, consistency and context variables

S Cafiso, A Di Graziano, G Di Silvestro… - Accident Analysis & …, 2010 - Elsevier
In Europe, approximately 60% of road accident fatalities occur on two-lane rural roads. Thus,
research to develop and enhance explanatory and predictive models for this road type …

Modeling crash-flow-density and crash-flow-V/C ratio relationships for rural and urban freeway segments

D Lord, A Manar, A Vizioli - Accident Analysis & Prevention, 2005 - Elsevier
There has been considerable research conducted in recent years into establishing
relationships between crashes and various traffic flow characteristics for freeway segments …

Accident prediction models with and without trend: application of the generalized estimating equations procedure

D Lord, BN Persaud - Transportation Research Record, 2000 - journals.sagepub.com
Accident prediction models (APMs) are useful tools for estimating the expected number of
accidents on entities such as intersections and road sections. These estimates typically are …

Estimation of rear-end vehicle crash frequencies in urban road tunnels

Q Meng, X Qu - Accident Analysis & Prevention, 2012 - Elsevier
According to The Handbook of Tunnel Fire Safety, over 90%(55 out of 61 cases) of fires in
road tunnels are caused by vehicle crashes (especially rear-end crashes). It is thus …

Statistical road safety modeling

E Hauer - Transportation Research Record, 2004 - journals.sagepub.com
The hope is that statistical models fitted to historical data can be used to estimate the effect
of road design elements on safety. Whether this can be done is not clear. A sign of trouble is …

The negative binomial-Lindley generalized linear model: Characteristics and application using crash data

SR Geedipally, D Lord, SS Dhavala - Accident Analysis & Prevention, 2012 - Elsevier
There has been a considerable amount of work devoted by transportation safety analysts to
the development and application of new and innovative models for analyzing crash data …

A new model for determining the traffic accident black spots using GIS-aided spatial statistical methods

MA Dereli, S Erdogan - Transportation Research Part A: Policy and …, 2017 - Elsevier
Traffic accidents are one of the important problems in our country as it in the world. The
World Health Organization case reports published in 2015 stated that approximately 1.25 …