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 …
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 …
A deep learning-based traffic event detection from social media
J Jonnalagadda, M Hashemi - 2021 IEEE 22nd International …, 2021 - ieeexplore.ieee.org
Traffic events, such as congestion and accidents, lead to driver frustration, longer travel
times, blocked emergency vehicles, and increased fuel consumption. Timely detection of …
times, blocked emergency vehicles, and increased fuel consumption. Timely detection of …
LLM multimodal traffic accident forecasting
With the rise in traffic congestion in urban centers, predicting accidents has become
paramount for city planning and public safety. This work comprehensively studied the …
paramount for city planning and public safety. This work comprehensively studied the …
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 …
Incident Detection From Social Media Targeting Indian Traffic Scenario Using Transfer Learning
P Ambastha, MS Desarkar - 2020 IEEE 23rd International …, 2020 - ieeexplore.ieee.org
Road traffic congestion is one of the most challenging problems in densely populated cities.
This paper aims to address this problem by developing a system to detect traffic congestion …
This paper aims to address this problem by developing a system to detect traffic congestion …
Smart Cities, Smarter Roads: A Review of Leveraging Cutting-Edge Technologies for Intelligent Event Detection from Social Media.
EA Alomari, R Mehmood - International Journal of Advanced …, 2023 - search.ebscohost.com
The rapidly evolving landscape of smart cities and intelligent transportation systems makes
the timely detection of traffic events a critical element for optimizing urban mobility …
the timely detection of traffic events a critical element for optimizing urban mobility …
Real-time natural language processing for crowdsourced road traffic alerts
CD Athuraliya, MKH Gunasekara… - … on Advances in ICT …, 2015 - ieeexplore.ieee.org
Out of many issues we face in transportation today, road traffic has become the most crucial
issue that directly affects our lives and economy. Despite of many implemented and …
issue that directly affects our lives and economy. Despite of many implemented and …