Traffic flow prediction model and probability of congestion
نویسندگان
چکیده
منابع مشابه
A Probability-Based Model of Traffic Flow
Describing the behavior of traffic via mathematical modeling and computer simulation has been a challenge confronted by mathematicians in various ways throughout the last century. In this project, we introduce various existing traffic flow models and present a new, probability-based model that is a hybrid of the microscopic and macroscopic views, drawing upon current ideas in traffic flow theor...
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ions to meet these challenges. Data Intensive Network Organization Traffic prediction networks require a combination of big data and large number of devices to combine semi-global historic traffic information and on-line vehicle updates. This requires the convergence of approaches used by the datacenter community and real-time community. Such dynamical systems with real-time constraints require...
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This research presents and explores a stochastic model to predict traffic flow along a highway and provides a framework to investigate some potential applications, including dynamic congestion pricing. Traffic congestion in urban areas is posing many challenges, and a traffic flow model that accurately predicts traffic conditions can be useful in responding to them. Traditionally, deterministic...
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ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2020
ISSN: 1757-899X
DOI: 10.1088/1757-899x/844/1/012008