Sensing urban transportation events from multi-channel social signals with the Word2vec fusion model
Social sensors perceive the real world through social media and online web services, which
have the advantages of low cost and large coverage over traditional physical sensors. In …
have the advantages of low cost and large coverage over traditional physical sensors. In …
Multi-modal neural network for traffic event detection
Cities are composed of complex systems with Cyber, Physical, and Social (CPS)
components. The advances in the Internet of Things (IoTs) and social networking services …
components. The advances in the Internet of Things (IoTs) and social networking services …
Leveraging personal navigation assistant systems using automated social media traffic reporting
Modern urbanization is demanding smarter technologies to improve a variety of applications
in intelligent transportation systems to relieve the increasing amount of vehicular traffic …
in intelligent transportation systems to relieve the increasing amount of vehicular traffic …
Empowering real-time traffic reporting systems with nlp-processed social media data
Current urbanization trends are leading to heightened demand of smarter technologies to
facilitate a variety of applications in intelligent transportation systems. Automated …
facilitate a variety of applications in intelligent transportation systems. Automated …
Framework for fusing traffic information from social and physical transportation data
Tremendous volumes of messages on social media platforms provide supplementary traffic
information and encapsulate crowd wisdom for solving transportation problems. However …
information and encapsulate crowd wisdom for solving transportation problems. However …
Using adverse weather data in social media to assist with city-level traffic situation awareness and alerting
Traffic situation awareness and alerting assisted by adverse weather conditions contributes
to improve traffic safety, disaster coping mechanisms, and route planning for government …
to improve traffic safety, disaster coping mechanisms, and route planning for government …
Traffic accident detection and condition analysis based on social networking data
Accurate detection of traffic accidents as well as condition analysis are essential to
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …
A multimodal coupled graph attention network for joint traffic event detection and sentiment classification
Traffic events are one of the main causes of traffic accidents, leading to traffic event detection
being a challenging research problem in traffic management and intelligent transportation …
being a challenging research problem in traffic management and intelligent transportation …
A dual channel cyber-physical transportation network for detecting traffic incidents and driver emotion
Intelligent traffic incident detection provides benefits such as minimizing traffic accidents and
fuel consumption, reducing congestion, and enhancing transportation safety. Hence, traffic …
fuel consumption, reducing congestion, and enhancing transportation safety. Hence, traffic …
Traffic information mining from social media based on the MC-LSTM-Conv model
Y Wang, Z He, J Hu - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Social media (eg, Sina Weibo) have the advantage of reflecting traffic information, including
the reasons for jams, illegal behaviors, and emergency recourses on roads. However, there …
the reasons for jams, illegal behaviors, and emergency recourses on roads. However, there …