Traffic events, such as congestion and accidents, lead to driver frustration, longer travel
times, blocked emergency vehicles, and increased fuel consumption. Timely detection of …

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 …

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 …

In current study, a mechanism to extract traffic related information such as congestion and
incidents from textual data from the internet is proposed. The current source of data is …

Online traffic news web sites do not always announce traffic events in areas in real-time.
There is a capability to employ text mining and machine learning techniques on the Twitter …

Intelligent Transportation System (ITS) help drivers by showing the shortest routes and some
driving information such as congestion, accident and roadwork. Twitter traffic detection …

Road transportation is the backbone of modern societies, yet it costs annually over a million
deaths and trillions of dollars to the global economy. Social media such as Twitter have …

Traffic incidents cause great losses to people's lives and property, and have aroused great
attention from researchers. In recent years, many machine learning methods have been …

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 …

In today's digital age, detecting abnormal events in the traffic scene is a more significant
problem in video surveillance. The proposed scheme is adopted for detecting abnormalities …