The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review
ZE Abou Elassad, H Mousannif… - … Applications of Artificial …, 2020 - Elsevier
Driving Behavior (DB) is a complex concept describing how the driver operates the vehicle
in the context of the driving scene and surrounding environment. Recently, DB assessment …
in the context of the driving scene and surrounding environment. Recently, DB assessment …
Analytic methods in accident research: Methodological frontier and future directions
The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
and vehicle designs, as well as directing and implementing a wide variety of regulatory …
[LLIBRE][B] Statistical and econometric methods for transportation data analysis
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 …
Praise for the Second Edition: The second edition introduces an especially broad set of …
Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections
Highlights•Conflict-based real-time safety performance functions are developed for
signalized intersections.•Several Tobit models including GRP-Tobit, RI-Tobit, and GRP-Tobit …
signalized intersections.•Several Tobit models including GRP-Tobit, RI-Tobit, and GRP-Tobit …
A note on modeling vehicle accident frequencies with random-parameters count models
In recent years there have been numerous studies that have sought to understand the
factors that determine the frequency of accidents on roadway segments over some period of …
factors that determine the frequency of accidents on roadway segments over some period of …
A negative binomial Lindley approach considering spatiotemporal effects for modeling traffic crash frequency with excess zeros
Statistical analysis of traffic crash frequency is significant for figuring out the distribution
pattern of crashes, predicting the development trend of crashes, formulating traffic crash …
pattern of crashes, predicting the development trend of crashes, formulating traffic crash …
A correlated random parameters with heterogeneity in means approach of deer-vehicle collisions and resulting injury-severities
This paper investigates deer-vehicle collisions and their resulting injury-severities in a
threefold approach. Two random parameters binary logit models with heterogeneity in …
threefold approach. Two random parameters binary logit models with heterogeneity in …
A study of factors affecting highway accident rates using the random-parameters tobit model
A large body of previous literature has used a variety of count-data modeling techniques to
study factors that affect the frequency of highway accidents over some time period on …
study factors that affect the frequency of highway accidents over some time period on …
Random parameters multivariate tobit and zero-inflated count data models: addressing unobserved and zero-state heterogeneity in accident injury-severity rate and …
PC Anastasopoulos - Analytic methods in accident research, 2016 - Elsevier
This paper uses data collected over a five-year period between 2005 and 2009 in Indiana to
estimate random parameters multivariate tobit and zero-inflated count data models of …
estimate random parameters multivariate tobit and zero-inflated count data models of …
Road traffic congestion and crash severity: econometric analysis using ordered response models
There is an ongoing debate among transport planners and safety policy makers as to
whether there is any association between the level of traffic congestion and road safety. One …
whether there is any association between the level of traffic congestion and road safety. One …