Monitoring and evaluation of ship operation congestion status at container ports based on AIS data

W Chen, J Chen, J Geng, J Ye, T Yan, J Shi… - Ocean & Coastal …, 2023 - Elsevier
With the rapid development of the ship** industry, many factors, such as larger ships,
harsh weather, workers' strikes, surging port throughputs, and the global pandemic, have …

An approach to exploring the spatial distribution and influencing factors of urban problems based on Land use types

J Jiao, Y **, R Yang - Sustainable Cities and Society, 2024 - Elsevier
Numerous urban problems seriously affect the residents' well-being and urban governance.
Urban problems are strongly correlated with land use types and are spatially uncertain …

Spatial-temporal analysis of safety risks in trajectories of construction workers based on complex network theory

P Duan, J Zhou, YM Goh - Advanced Engineering Informatics, 2023 - Elsevier
Understanding the traffic patterns of construction workers on high-risk construction sites is
important for implementing behaviour-based safety management. However, safety risks in …

Vulnerability analysis of urban road networks based on traffic situation

Z Wang, Y Pei, J Liu, H Liu - International Journal of Critical Infrastructure …, 2023 - Elsevier
Traffic congestion is a global issue, which occurs during rush hour but also in situations of
emergency causing massive congestion. This paper proposes a method for building a …

Exploring the effect of built environment on spatiotemporal evolution of traffic congestion using a novel GTWR model: a case study of Hefei, China

H Liu, W Zhang, S Wang, Z Cheng, L Wei… - Transportation …, 2024 - Taylor & Francis
Understanding the impact of the built environment on traffic congestion can provide reliable
references for alleviating traffic congestion. Previous research has explored traffic …

Enhancing travel time prediction with deep learning on chronological and retrospective time order information of big traffic data

CYT Chen, EW Sun, MF Chang, YB Lin - Annals of Operations Research, 2023 - Springer
With growing environmental concerns and the exploitation of ubiquitous big data, smart
transportation is transforming logistics business and operations into a more sustainable …

[HTML][HTML] Methodology for the Identification of Vehicle Congestion Based on Dynamic Clustering

G Reyes, R Tolozano-Benites, L Lanzarini, C Estrebou… - Sustainability, 2023 - mdpi.com
Addressing sustainable mobility in urban areas has become a priority in today's society,
given the growing population and increasing vehicular flow in these areas. Intelligent …

Detecting traffic anomalies during extreme events via a temporal self-expressive model

M Nouri, E Konyar, MR Gahrooeri… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Motivated by rapid urbanization and increasing natural hazards, this study aims to develop a
data-driven method for detecting urban traffic anomalies during extreme events. Past …

Evaluation of connected and autonomous vehicles for congestion mitigation: an approach based on the congestion patterns of road networks

Z Jiang, Y Wang, J Wang, X Fu - Journal of Transportation …, 2024 - ascelibrary.org
Connected and autonomous vehicles (CAVs), with their potential to enhance the interactive
perception of vehicle behavior, are expected to benefit traffic congestion and travel …

Analysis of urban congestion traceability: The role of the built environment

C Li, D Wang, H Chen, E Liu - Land, 2024 - mdpi.com
Analyzing the factors influencing traffic congestion is essential for urban planning and
coordinated development. Previous research frequently focuses on the internal aspects of …