Cross‐scene pavement distress detection by a novel transfer learning framework
Deep learning has achieved promising results in pavement distress detection. However, the
training model's effectiveness varies according to the data and scenarios acquired by …
training model's effectiveness varies according to the data and scenarios acquired by …
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 …
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 …
Analysis of volatility in driving regimes extracted from basic safety messages transmitted between connected vehicles
AJ Khattak, B Wali - Transportation research part C: emerging technologies, 2017 - Elsevier
Driving volatility captures the extent of speed variations when a vehicle is being driven.
Extreme longitudinal variations signify hard acceleration or braking. Warnings and alerts …
Extreme longitudinal variations signify hard acceleration or braking. Warnings and alerts …
Leveraging ANN and LDA classifiers for characterizing different hand movements using emg signals
The analysis of electromyographic (EMG) signals has expedited the use of a wearable
prosthetic arm. To this end, pattern recognition-based myoelectric control schemes have …
prosthetic arm. To this end, pattern recognition-based myoelectric control schemes have …
Road infrastructure readiness for autonomous vehicles
TU Saeed - 2019 - search.proquest.com
Contemporary research indicates that the era of autonomous vehicles (AVs) is not only
inevitable but may be reached sooner than expected; however, not enough research has …
inevitable but may be reached sooner than expected; however, not enough research has …
Analysis of driver-injury severity: a comparison between speeding and non-speeding driving crash accounting for temporal and unobserved effects
This paper aims to investigate the differences between temporal stability of factors
influencing driver-injury severities in crashes involving speeding and non-speeding driving …
influencing driver-injury severities in crashes involving speeding and non-speeding driving …
A statistical analysis of the correlates of compliance and defiance of seatbelt use
With the intent to frame policy recommendations for enhancing the state of road safety, this
study employed a binary logit regression approach to examine the factors associated with …
study employed a binary logit regression approach to examine the factors associated with …
Estimating the marginal costs of road wear
JE Nilsson, K Svensson, M Haraldsson - Transportation Research Part A …, 2020 - Elsevier
This study estimates the marginal cost of using road infrastructure. Based on a large data set
with information on sections of the road network, including age, pavement type, and traffic, a …
with information on sections of the road network, including age, pavement type, and traffic, a …
Evaluation of road repair efficiency in terms of ensuring traffic quality and safety
A Kamenchukov, V Yarmolinsky, I Pugachev - Transportation research …, 2018 - Elsevier
The article addresses issues of improving the traffic quality and safety. Operational feasibility
of using modern methods of repair depending on the road pavement condition prior to repair …
of using modern methods of repair depending on the road pavement condition prior to repair …