Vehicle crash simulations for safety: Introduction of connected and automated vehicles on the roadways
Traffic accidents are one main cause of human fatalities in modern society. With the fast
development of connected and autonomous vehicles (CAVs), there comes both challenges …
development of connected and autonomous vehicles (CAVs), there comes both challenges …
Human-centred design of next generation transportation infrastructure with connected and automated vehicles: a system-of-systems perspective
During the transition period when connected and automated vehicles (CAVs) and human-
driven vehicles (HDVs) coexist on the roadway, miscommunication and improper …
driven vehicles (HDVs) coexist on the roadway, miscommunication and improper …
Development of socially sustainable transport research: A bibliometric and visualization analysis
L Bao, M Kusadokoro, A Chitose, C Chen - Travel behaviour and society, 2023 - Elsevier
The transport sector plays an important role as a dynamic network linking social, economic,
and environmental dimensions. In recent decades, socially sustainable development has …
and environmental dimensions. In recent decades, socially sustainable development has …
Discovering latent themes in traffic fatal crash narratives using text mining analytics and network topology
The proliferation of digital textual archives in the transportation safety domain makes it
imperative for the inventions of efficient ways of extracting information from the textual data …
imperative for the inventions of efficient ways of extracting information from the textual data …
[HTML][HTML] Automated system for construction specification review using natural language processing
Existing attempts to automate construction document analysis are limited in understanding
the varied semantic properties of different documents. Due to the semantic conflicts, the …
the varied semantic properties of different documents. Due to the semantic conflicts, the …
[HTML][HTML] Using Bidirectional Encoder Representations from Transformers (BERT) to classify traffic crash severity types
Traffic crashes are a critical safety concern. Many studies have attempted to improve traffic
safety by performing a wide range of studies on safety topics with the application of diverse …
safety by performing a wide range of studies on safety topics with the application of diverse …
A Machine Learning approach for collision avoidance and path planning of mobile robot under dense and cluttered environments
In this paper, a novel approach based on Machine Learning (ML) concept, ie, the Adaptive
Stochastic Gradient Descent Linear Regression (ASGDLR) algorithm, is developed to …
Stochastic Gradient Descent Linear Regression (ASGDLR) algorithm, is developed to …
Community flood resilience categorization framework
Coupled with climate change, the expansive developments of urban areas are causing a
significant increase in flood-related disasters worldwide. However, most flood risk analysis …
significant increase in flood-related disasters worldwide. However, most flood risk analysis …
Question-answering framework for building codes using fine-tuned and distilled pre-trained transformer models
Building code compliance checking is considered a bottleneck in construction projects,
which calls for a novel approach to building code query and information retrieval. To …
which calls for a novel approach to building code query and information retrieval. To …
Data-driven community flood resilience prediction
Climate change and the development of urban centers within flood-prone areas have
significantly increased flood-related disasters worldwide. However, most flood risk …
significantly increased flood-related disasters worldwide. However, most flood risk …