The statistical analysis of crash-frequency data: A review and assessment of methodological alternatives
Gaining a better understanding of the factors that affect the likelihood of a vehicle crash has
been an area of research focus for many decades. However, in the absence of detailed …
been an area of research focus for many decades. However, in the absence of detailed …
A review of the effect of traffic and weather characteristics on road safety
Taking into consideration the increasing availability of real-time traffic data and stimulated by
the importance of proactive safety management, this paper attempts to provide a review of …
the importance of proactive safety management, this paper attempts to provide a review of …
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 …
Identification of dynamic traffic crash risk for cross-area freeways based on statistical and machine learning methods
Y Yang, K He, Y Wang, Z Yuan, Y Yin, M Guo - Physica A: Statistical …, 2022 - Elsevier
Freeway traffic safety should be given great attention due to the frequent and serious
consequences that arise from freeway traffic crashes. With the possibility of obtaining high …
consequences that arise from freeway traffic crashes. With the possibility of obtaining high …
Game theoretic modeling of driver and vehicle interactions for verification and validation of autonomous vehicle control systems
Autonomous driving has been the subject of incre-ased interest in recent years both in
industry and in academia. Serious efforts are being pursued to address legal, technical, and …
industry and in academia. Serious efforts are being pursued to address legal, technical, and …
The effect of traffic and road characteristics on road safety: A review and future research direction
Understanding factors affecting road accidents is an important area in road safety research.
This paper provides a review of the factors, with specific focus on traffic and road related …
This paper provides a review of the factors, with specific focus on traffic and road related …
Modeling motor vehicle crashes using Poisson-gamma models: Examining the effects of low sample mean values and small sample size on the estimation of the fixed …
D Lord - Accident Analysis & Prevention, 2006 - Elsevier
There has been considerable research conducted on the development of statistical models
for predicting crashes on highway facilities. Despite numerous advancements made for …
for predicting crashes on highway facilities. Despite numerous advancements made for …
Multivariate Poisson-lognormal models for jointly modeling crash frequency by severity
A new multivariate approach is introduced for jointly modeling data on crash counts by
severity on the basis of multivariate Poisson-lognormal models. Although the data on crash …
severity on the basis of multivariate Poisson-lognormal models. Although the data on crash …
Impact of traffic congestion on road accidents: A spatial analysis of the M25 motorway in England
Traffic congestion and road accidents are two external costs of transport and the reduction of
their impacts is often one of the primary objectives for transport policy makers. The …
their impacts is often one of the primary objectives for transport policy makers. The …