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Urban traffic modeling and analysis is part of the advanced traffic intelligent management technologies that has become a crucial sector of Traffic management and control. Its main purpose is to predict congestion states of a specific urban transport network and propose improvements in the traffic network. Researches rely on three different ...
Traffic estimation and prediction systems ( TrEPS) have the potential to improve traffic conditions and reduce travel delays by facilitating better utilization of available capacity. These systems exploit currently available and emerging computer, communication, and control technologies to monitor, manage, and control the transportation system.
Library of algorithms to aggregate areas into regions, where each region is geographically connected, while optimizing a predefined objective function. Python. BSD license. R -Analysis of Spatial Data. yes. Linux, MAC OS, Windows. Roger Bivand (maintainer) CRAN site for Analysis of Spatial Data, R-Forge site.
A new project by Google is using artificial intelligence and Google Maps driving trends to optimize traffic lights with the goal of reducing greenhouse gas emissions. Project Green Light has been ...
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The aim of traffic modeling is to find stochastic processes to represent the behavior of traffic. Working at the Copenhagen Telephone Company in the 1910s, A. K. Erlang famously characterized telephone traffic at the call level by certain probability distributions for arrivals of new calls and their holding times.
Predictive analytics is a form of business analytics applying machine learning to generate a predictive model for certain business applications. As such, it encompasses a variety of statistical techniques from predictive modeling and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events.
Traffic modeling draws heavily on theoretical foundations like network theory and certain theories from physics like the kinematic wave model. The interesting quantity being modeled and measured is the traffic flow , i.e. the throughput of mobile units (e.g. vehicles ) per time and transportation medium capacity (e.g. road or lane width).