Worldwide cities are establishing efforts to collect urban traffic data from various modes and
sources. Integrating traffic data, together with their situational context, offers more …

Traffic incidents are one of the leading causes of non-recurrent traffic congestions. By
detecting these incidents on time, traffic management agencies can activate strategies to …

Individual and societal systems are open systems continuously affected by their situational
context. In recent years, context sources have been increasingly considered in different …

The growth of vehicles in Yogyakarta Province, Indonesia is not proportional to the growth of
roads. This problem causes severe traffic jam in many main roads. Common traffic …

Granular computing, an emerging information processing paradigm transforming complex
data into information granules at different scales so that different features and regularities …

Social media has become an important source of near-instantaneous information about
events and is increasingly also being analysed to provide predictive models, sentiment …

Background European cities are placing a larger emphasis on urban data consolidation and
analysis for optimizing public transport in response to changing urban mobility dynamics …

Road Traffic congestion is a perennial problem across the globe. The nature of the problems
associated with vehicular traffic is not uniform across the globe. In the recent past, several …

Despite the efforts placed by major European cities to optimize public transportation, traffic
data analytics often disregard vital situational context. This work proposes a methodology to …

In this proposed integrated Intelligent Transport System, GPS enabled smart phones, and
video cameras are used as traffic sensors, while Twitter is used as verifier. They are …