Exploring the capacity of social media data for modelling travel behaviour: Opportunities and challenges

TH Rashidi, A Abbasi, M Maghrebi, S Hasan… - … Research Part C …, 2017 - Elsevier
In the past few years, the social science literature has shown significance attention to
extracting information from social media to track and analyse human movements. In this …

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 …

Sensing and detecting traffic events using geosocial media data: A review

S Xu, S Li, R Wen - Computers, Environment and Urban Systems, 2018 - Elsevier
Social media platforms, or social networks, have allowed millions of users to post online
content about topics related to our daily lives. Traffic is one of the many topics for which …

Developing a Twitter-based traffic event detection model using deep learning architectures

S Dabiri, K Heaslip - Expert systems with applications, 2019 - Elsevier
In recent years, several studies have harnessed Twitter data for detecting traffic incidents
and monitoring traffic conditions. Researchers have utilized the bag-of-words representation …

Big data analytics architecture for real-time traffic control

S Amini, I Gerostathopoulos… - 2017 5th IEEE …, 2017 - ieeexplore.ieee.org
The advent of Big Data has triggered disruptive changes in many fields including Intelligent
Transportation Systems (ITS). The emerging connected technologies created around …

Using Twitter data for transit performance assessment: a framework for evaluating transit riders' opinions about quality of service

NN Haghighi, XC Liu, R Wei, W Li, H Shao - Public Transport, 2018 - Springer
Social media platforms such as Facebook, Instagram, and Twitter have drastically altered
the way information is generated and disseminated. These platforms allow their users to …

Utilising location based social media in travel survey methods: bringing Twitter data into the play

A Abbasi, TH Rashidi, M Maghrebi… - Proceedings of the 8th …, 2015 - dl.acm.org
A growing body of literature has been devoted to harnessing the crowdsourcing power of
social media by extracting knowledge from the huge amounts of information available …

A machine learning tool for collecting and analyzing subjective road safety data from Twitter

MM Abedi, E Sacchi - Expert Systems with Applications, 2024 - Elsevier
Several measures have been proposed in the road safety field to measure safety objectively.
However, studies focused on measuring subjective road safety (ie, the cognitive safety of …

Detecting spatiotemporal traffic events using geosocial media data

S Xu, S Li, W Huang, R Wen - Computers, environment and urban systems, 2022 - Elsevier
Social media platforms enable efficient traffic event detection by allowing users to produce
geo-tagged content (eg, tweets) known as geosocial media data. Geosocial media data …

Complementing travel diary surveys with twitter data: application of text mining techniques on activity location, type and time

M Maghrebi, A Abbasi, TH Rashidi… - 2015 IEEE 18th …, 2015 - ieeexplore.ieee.org
A growing body of literature in social science has been devoted to extracting new
information from social media to assist authorities in manage crowd projects. In this paper …