Traffic accident detection and condition analysis based on social networking data

F Ali, A Ali, M Imran, RA Naqvi, MH Siddiqi… - Accident Analysis & …, 2021 - Elsevier
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 …

Urban transportation concept and sustainable urban mobility in smart cities: a review

I Mavlutova, D Atstaja, J Grasis, J Kuzmina, I Uvarova… - Energies, 2023 - mdpi.com
In order to create a sustainable future for the urban environment in s= Smart cities, it is
necessary to develop a concept of urban transport, partially reduce the use of traditional …

Social signal-driven knowledge automation: A focus on social transportation

H Lu, Y Zhu, Y Yuan, W Gong, J Li, K Shi… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Urban transportation systems are shaped by factors that include people, vehicles, roads,
and the environment, forming a complex and giant system with dynamics, diversity, and …

LogEvent2vec: LogEvent-to-vector based anomaly detection for large-scale logs in internet of things

J Wang, Y Tang, S He, C Zhao, PK Sharma, O Alfarraj… - Sensors, 2020 - mdpi.com
Log anomaly detection is an efficient method to manage modern large-scale Internet of
Things (IoT) systems. More and more works start to apply natural language processing …

[HTML][HTML] Disaster loss calculation method of urban flood bimodal data fusion based on remote sensing and text

X Zheng, C Duan, Y Chen, R Li, Z Wu - Journal of Hydrology: Regional …, 2023 - Elsevier
Study region Major urban areas in Henan Province of central China. Study focus data fusion
technology is also a key and difficult point in the field of flood research. Remote sensing and …

ConAnomaly: Content-based anomaly detection for system logs

D Lv, N Luktarhan, Y Chen - Sensors, 2021 - mdpi.com
Enterprise systems typically produce a large number of logs to record runtime states and
important events. Log anomaly detection is efficient for business management and system …

Identifying secondary crashes using text mining techniques

X Zhang, E Green, M Chen… - Journal of Transportation …, 2020 - Taylor & Francis
Secondary crashes, roadway clearance time, and incident clearance time are three primary
performance measures for traffic incident management. Crash databases, which are the …

Wide-grained capsule network with sentence-level feature to detect meteorological event in social network

K Shi, C Gong, H Lu, Y Zhu, Z Niu - Future Generation Computer Systems, 2020 - Elsevier
In recent years, frequent meteorological disasters have caused great concern to people. It is
particularly important to timely detect the meteorological events and release early warning …

EKGTF: A knowledge-enhanced model for optimizing social network-based meteorological briefings

K Shi, Y Wang, H Lu, Y Zhu, Z Niu - Information Processing & Management, 2021 - Elsevier
With the frequent occurrence of extreme natural phenomena, news about meteorological
disasters has increased. As a timely and effective social sensor, social networks have …

Social weather: A review of crowdsourcing‐assisted meteorological knowledge services through social cyberspace

Y Zhu, S Zhang, Y Li, H Lu, K Shi… - Geoscience Data …, 2020 - Wiley Online Library
Crowdsourcing has significantly motivated the development of meteorological services.
Starting from the beginning of 2010s and highly motivating after 2014, crowdsourcing‐driven …