Framework for fusing traffic information from social and physical transportation data

Z Zheng, C Wang, P Wang, Y Xiong, F Zhang, Y Lv - PloS one, 2018 - journals.plos.org
Tremendous volumes of messages on social media platforms provide supplementary traffic
information and encapsulate crowd wisdom for solving transportation problems. However …

Empowering real-time traffic reporting systems with nlp-processed social media data

X Wan, MC Lucic, H Ghazzai… - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
Current urbanization trends are leading to heightened demand of smarter technologies to
facilitate a variety of applications in intelligent transportation systems. Automated …

Tracking traffic congestion and accidents using social media data: A case study of Shanghai

H Chang, L Li, J Huang, Q Zhang, KS Chin - Accident Analysis & Prevention, 2022 - Elsevier
Traffic congestion and accidents take a toll on commuters' daily experiences and society.
Locating the venues prone to congestion and accidents and capturing their perception by …

Mining transportation information from social media for planned and unplanned events

Z Zhang, M Ni, J Gao, Q He - 2016 - rosap.ntl.bts.gov
The objective of this project is on mining social media data to deduce useful traveler's
information with a special emphasis under events, including both planned events (such as …

SNSJam: Road traffic analysis and prediction by fusing data from multiple social networks

B Alkouz, Z Al Aghbari - Information Processing & Management, 2020 - Elsevier
The increased popularity of micro-blogging applications together with the widespread of
location-aware devices have resulted in the creation of large streams of geo-tagged data …

Using adverse weather data in social media to assist with city-level traffic situation awareness and alerting

H Lu, Y Zhu, K Shi, Y Lv, P Shi, Z Niu - Applied Sciences, 2018 - mdpi.com
Traffic situation awareness and alerting assisted by adverse weather conditions contributes
to improve traffic safety, disaster coping mechanisms, and route planning for government …

Crowd sensing of traffic anomalies based on human mobility and social media

B Pan, Y Zheng, D Wilkie, C Shahabi - Proceedings of the 21st ACM …, 2013 - dl.acm.org
The advances in mobile computing and social networking services enable people to probe
the dynamics of a city. In this paper, we address the problem of detecting and describing …

Leveraging social media as a source of mobility intelligence: An NLP-based approach

T Fontes, F Murçós, E Carneiro… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
This work presents a deep learning framework for analyzing urban mobility by extracting
knowledge from messages collected from Twitter. The framework, which is designed to …

Tweeting Traffic: Analyzing Twitter for generating real-time city traffic insights and predictions

P Tejaswin, R Kumar, S Gupta - … of the 2nd IKDD Conference on Data …, 2015 - dl.acm.org
Crowd sourced road traffic management is an open, unexplored problem in data science.
With the growth of mobile communications and social media networks, more people are …

From Twitter to detector: Real-time traffic incident detection using social media data

Y Gu, ZS Qian, F Chen - Transportation research part C: emerging …, 2016 - Elsevier
The effectiveness of traditional incident detection is often limited by sparse sensor coverage,
and reporting incidents to emergency response systems is labor-intensive. We propose to …