Seyedamirmohammad Sakaki
Big Data analysis of Floating Car Data to identify traffic congestion in urban areas.
Rel. Danilo Giordano, Luca Vassio, Marco Diana. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2022
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Abstract
Traffic congestion has increasingly worsened in recent decades, especially in major metropolitan areas with growing populations. Congestion occurs when demand for space exceeds road capacity. These activities, which require individuals to interact, are vital for economic systems and cannot be avoided. In modern society, these demands are sometimes created at the same time, since many individuals travel to school or work and make other deliveries. This thesis will focus on traffic congestion on public highways caused by cars. Developing urban transportation networks requires identifying places prone to traffic congestion. Traffic data collection technologies have advanced in recent years, and real-time traffic information is becoming the norm globally.
Floating Car Data (FCD) has become popular in recent years
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