[HTML][HTML] Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions

SH Kim, PL Mokhtarian - Transportation Research Part B: Methodological, 2023 - Elsevier
Accounting for some types of heterogeneity has been an important pathway to improving our
models in the transportation domain, specifically in travel behavior research. This study …

Real-time crash prediction models: State-of-the-art, design pathways and ubiquitous requirements

M Hossain, M Abdel-Aty, MA Quddus… - Accident Analysis & …, 2019 - Elsevier
Proactive traffic safety management systems can monitor traffic conditions in real-time,
identify the formation of unsafe traffic dynamics, and implement suitable interventions to …

Transportation sentiment analysis using word embedding and ontology-based topic modeling

F Ali, D Kwak, P Khan, S El-Sappagh, A Ali… - Knowledge-Based …, 2019 - Elsevier
Social networks play a key role in providing a new approach to collecting information
regarding mobility and transportation services. To study this information, sentiment analysis …

Discovering themes and trends in transportation research using topic modeling

L Sun, Y Yin - Transportation Research Part C: Emerging …, 2017 - Elsevier
Transportation research is a key area in both science and engineering. In this paper, we
present an empirical analysis of 17,163 articles published in 22 leading transportation …

Using structural topic modeling to identify latent topics and trends in aviation incident reports

KD Kuhn - Transportation Research Part C: Emerging …, 2018 - Elsevier
Abstract The Aviation Safety Reporting System includes over a million confidential reports
describing aviation safety incidents. Natural language processing techniques allow for …

Impacts of COVID-19 on transport modes and mobility behavior: analysis of public discourse in Twitter

MA Habib, MAH Anik - Transportation Research Record, 2023 - journals.sagepub.com
This study proposes a framework to analyze public discourse in Twitter to understand the
impacts of COVID-19 on transport modes and mobility behavior. It also identifies reopening …

Characterizing public emotions and sentiments in COVID-19 environment: A case study of India

S Das, A Dutta - Journal of Human Behavior in the Social …, 2021 - Taylor & Francis
ABSTRACT Coronavirus 2019, or COVID-19, is a contagious disease triggered by severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). With origins in Wuhan, China, this …

Discovering latent topics and trends in autonomous vehicle-related research: A structural topic modelling approach

R Tamakloe, D Park - Transport policy, 2023 - Elsevier
Autonomous Vehicle (AV) technology is a disruptive transportation technology that promises
to revolutionize how people travel. Due to their potential mobility benefits and associated …

[HTML][HTML] Deep journalism and DeepJournal V1. 0: a data-driven deep learning approach to discover parameters for transportation

I Ahmad, F Alqurashi, E Abozinadah, R Mehmood - Sustainability, 2022 - mdpi.com
We live in a complex world characterised by complex people, complex times, and complex
social, technological, economic, and ecological environments. The broad aim of our work is …

Fuzzy ontology and LSTM-based text mining: a transportation network monitoring system for assisting travel

F Ali, S El-Sappagh, D Kwak - Sensors, 2019 - mdpi.com
Intelligent Transportation Systems (ITSs) utilize a sensor network-based system to gather
and interpret traffic information. In addition, mobility users utilize mobile applications to …