Using machine learning to examine impact of type of performance indicator on flexible pavement deterioration modeling
S Madeh Piryonesi, TE El-Diraby - Journal of Infrastructure Systems, 2021 - ascelibrary.org
Limited research has been conducted on the application of data analytics to the prediction of
the Pavement Condition Index (PCI) of asphalt roads. More importantly, studies comparing …
the Pavement Condition Index (PCI) of asphalt roads. More importantly, studies comparing …
An empirical discourse on forecasting the use of autonomous vehicles using consumers' preferences
Given many known and unknown uncertainties, it is hard to forecast reliably the mode
choices, expected to prevail with autonomous vehicle (AV) technology; however, the key to …
choices, expected to prevail with autonomous vehicle (AV) technology; however, the key to …
Road surface friction prediction using long short-term memory neural network based on historical data
Road surface friction significantly impacts traffic safety and mobility. A precise road surface
friction prediction model can help to alleviate the influence of inclement road conditions on …
friction prediction model can help to alleviate the influence of inclement road conditions on …
Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates
This paper employs a correlated random parameters ordered probit modeling framework to
explore time-variant and time-invariant factors affecting injury-severity outcomes in single …
explore time-variant and time-invariant factors affecting injury-severity outcomes in single …
[HTML][HTML] A taxonomy for autonomous vehicles considering ambient road infrastructure
To standardize definitions and guide the design, regulation, and policy related to automated
transportation, the Society of Automotive Engineers (SAE) has established a taxonomy …
transportation, the Society of Automotive Engineers (SAE) has established a taxonomy …
A deep learning algorithm for simulating autonomous driving considering prior knowledge and temporal information
Autonomous vehicle (AV) stakeholders continue to seek assurance of the safety
performance of this new technology through AV testing on in‐service roads, AV‐dedicated …
performance of this new technology through AV testing on in‐service roads, AV‐dedicated …
Analyzing road crash frequencies with uncorrelated and correlated random-parameters count models: An empirical assessment of multilane highways
Recent literature on highway safety research has focused on methodological advances to
minimize misspecifications and the potential for erroneous estimates and invalid statistical …
minimize misspecifications and the potential for erroneous estimates and invalid statistical …
Differences of overturned and hit-fixed-object crashes on rural roads accompanied by speeding driving: Accommodating potential temporal shifts
X Yan, J He, G Wu, C Zhang, C Wang, Y Ye - Analytic methods in accident …, 2022 - Elsevier
Overturned crashes are associated with a disproportionate number of severe injuries and
fatalities, while hit-fixed-object crashes are acknowledged as the most frequent single …
fatalities, while hit-fixed-object crashes are acknowledged as the most frequent single …
Characterizing the performance of interstate flexible pavements using artificial neural networks and random parameters regression
Past studies developed pavement performance models using data from all or multiple states
across the United States. This study hypothesized that due to variation in agency practices …
across the United States. This study hypothesized that due to variation in agency practices …
Convolutional neural networks for pavement roughness assessment using calibration‐free vehicle dynamics
Road roughness is a measure of how uncomfortable a ride is, and provides an important
indicator for the needs of roadway maintenance or repavement, which is closely tied to the …
indicator for the needs of roadway maintenance or repavement, which is closely tied to the …