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 systems are shaped by factors that include people, vehicles, roads,
and the environment, forming a complex and giant system with dynamics, diversity, and …

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 …

Social media have sparked increasing appeal for improving emergency management. Many
have advocated the use of Social Media for Emergency Management (SMEM) to …

Advances in the Internet of Things have enabled the development of many smart city
applications and expert systems that help citizens and authorities better understand the …

Traffic accident detection is an important strategy governments can use to implement
policies intended to reduce accidents. They usually use techniques such as image …

Scholars have explored the applicability of social media technology in diverse fields.
However, its significance as a delivery tool in the sub-Saharan Africa (SSA) motorcycle …

Social networks are usually used by citizens to report or complain about traffic incidents that
affect their daily mobility. Automatically finding traffic-related reports and extracting useful …

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 …

Optimizing text preprocessing and text classification algorithms is an important, everyday
task in large organizations and companies and it usually involves a labor-intensive and time …