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Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities
Traffic prediction plays a crucial role in alleviating traffic congestion which represents a
critical problem globally, resulting in negative consequences such as lost hours of additional …
critical problem globally, resulting in negative consequences such as lost hours of additional …
Socially enhanced situation awareness from microblogs using artificial intelligence: A survey
The rise of social media platforms provides an unbounded, infinitely rich source of
aggregate knowledge of the world around us, both historic and real-time, from a human …
aggregate knowledge of the world around us, both historic and real-time, from a human …
[HTML][HTML] Identification and classification of transportation disaster tweets using improved bidirectional encoder representations from transformers
Social Media today has become the most relevant and affordable platform to express one's
views in real-time. The# Endsars protest in Nigeria and the COVID-19 pandemic have …
views in real-time. The# Endsars protest in Nigeria and the COVID-19 pandemic have …
Real-time traffic, accident, and potholes detection by deep learning techniques: a modern approach for traffic management
S Babbar, J Bedi - Neural Computing and Applications, 2023 - Springer
The practical applications of social media have raised the bar for real-time event detection
all over the globe. It has been deemed useful for extracting important data that enables …
all over the globe. It has been deemed useful for extracting important data that enables …
The dramatic increase in anti-vaccine discourses during the COVID-19 pandemic: a social network analysis of Twitter
N Durmaz, E Hengirmen - Human vaccines & immunotherapeutics, 2022 - Taylor & Francis
ABSTRACT Background/Aim The first case of COVID-19 in Turkey was officially recorded on
March 11, 2020. Social media use increased worldwide, as well as in Turkey, during the …
March 11, 2020. Social media use increased worldwide, as well as in Turkey, during the …
Managing demand volatility of pharmaceutical products in times of disruption through news sentiment analysis
Unplanned events such as epidemic outbreaks, natural disasters, or major scandals are
usually accompanied by supply chain disruption and highly volatile demand. Besides …
usually accompanied by supply chain disruption and highly volatile demand. Besides …
BjTT: A large-scale multimodal dataset for traffic prediction
Traffic prediction plays a significant role in Intelligent Transportation Systems (ITS). Although
many datasets have been introduced to support the study of traffic prediction, most of them …
many datasets have been introduced to support the study of traffic prediction, most of them …
Traffic congestion analysis based on a web-gis and data mining of traffic events from twitter
Smart cities are characterized by the use of massive information and digital communication
technologies as well as sensor networks where the Internet and smart data are the core …
technologies as well as sensor networks where the Internet and smart data are the core …
ChatTraffic: Text-to-traffic generation via diffusion model
The analysis of traffic situations under abnormal conditions is one of the bottleneck issues in
Intelligent Transportation Systems (ITS). Influenced by the suddenness, randomness, and …
Intelligent Transportation Systems (ITS). Influenced by the suddenness, randomness, and …
Daily forecasting of tourism demand: An ST-LSTM model with social network service co-occurrence similarity
Q Luo, S Cai, N Lv, X Fu - Information & Management, 2025 - Elsevier
In the digital era, social network service (SNS) significantly influences travel behavior.
Understanding SNS spillover effects is crucial for accurate tourism demand prediction. This …
Understanding SNS spillover effects is crucial for accurate tourism demand prediction. This …