Extracting useful information from basic safety message data: An empirical study of driving volatility measures and crash frequency at intersections
With the emergence of high-frequency connected and automated vehicle data, analysts can
extract useful information from them. To this end, the concept of “driving volatility” is defined …
extract useful information from them. To this end, the concept of “driving volatility” is defined …
A Bayesian spatial Poisson-lognormal model to examine pedestrian crash severity at signalized intersections
Reducing nonmotorized crashes requires a profound understanding of the causes and
consequences of the crashes at the facility level. Generally, existing literature on bicyclists …
consequences of the crashes at the facility level. Generally, existing literature on bicyclists …
Fusing nonmotorized traffic data: A decision fusion framework
S Munira - 2021 - oaktrust.library.tamu.edu
This dissertation explored an uncharted research territory, fusion of nonmotorized traffic data
for estimating reliable nonmotorized demand measures. The research was divided into three …
for estimating reliable nonmotorized demand measures. The research was divided into three …
Integrating and analyzing driver, vehicle and road infrastructure volatilities using connected and instrumented vehicles technology
M Kamrani - 2018 - trace.tennessee.edu
This dissertation proposes a framework on how to process and analyze the data available
from the driver, the vehicle and the road infrastructure ie data streams in real-time …
from the driver, the vehicle and the road infrastructure ie data streams in real-time …