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 …
Personal and societal impacts of motorcycle ban policy on motorcyclists' home-to-work morning commute in China
This study investigates the personal and societal impacts of motorcycle ban policy on the
home-to-work morning commute of motorcyclists using self-reported travel behavioral data …
home-to-work morning commute of motorcyclists using self-reported travel behavioral data …
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 …
IRI estimation based on pavement distress type, density, and severity: Efficacy of machine learning and statistical techniques
Abstract The International Roughness Index (IRI) is widely used in evaluating pavement
condition, making repair decisions, assessing ride comfort, and estimating vehicle operating …
condition, making repair decisions, assessing ride comfort, and estimating vehicle operating …
Fragility analysis of coastal roadways and performance assessment of coastal transportation systems subjected to storm hazards
Coastal transportation systems are extremely vulnerable due to the coupled impacts of storm
surge, waves, and inundation. Existing literature has developed coastal fragility models for …
surge, waves, and inundation. Existing literature has developed coastal fragility models for …
Characterizing the key predictors of renewable energy penetration for sustainable and resilient communities
J Bennett, A Baker, E Johncox… - Journal of Management in …, 2020 - ascelibrary.org
With a mean annual growth rate of roughly 50%, the solar industry has experienced
unprecedented growth in the last decade, largely owing to the steadily falling prices of solar …
unprecedented growth in the last decade, largely owing to the steadily falling prices of solar …
Hazard-based duration models for predicting actual duration of highway projects using nonparametric and parametric survival analysis
At the preconstruction phases of project development, facility stakeholders typically seek
reliable estimates of project duration. This paper shows how hazard-based duration models …
reliable estimates of project duration. This paper shows how hazard-based duration models …
Probabilistic risk management framework for tolerance-related issues in modularized projects: Local and global perspectives
MSA Enshassi, S Walbridge, JS West… - ASCE-ASME Journal of …, 2020 - ascelibrary.org
Modular components and assemblies involve complex geometric relationships whereby
excessive geometric variability in a critical component can affect the overall geometry of the …
excessive geometric variability in a critical component can affect the overall geometry of the …
Policy implications of standalone timing versus holistic timing of infrastructure interventions: Findings based on pavement surface roughness
Transportation agencies routinely make repair decisions in numerous contexts which
include the timing of different repair treatments over an extended period. The timing policy …
include the timing of different repair treatments over an extended period. The timing policy …