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First of all, the traditional malicious traffic detection method is mainly from statistics, classification, clustering, information theory four aspects to summarize the abnormal flow detection technology. A hmed4 introduces various abnormal flow detection technologies using data mining, mainly from ...
Intelligent transportation (e.g., intelligent traffic light) makes our travel more convenient and efficient. With the development of mobile Internet and position technologies, it is reasonable to collect spatio-temporal data and then leverage these data to achieve the goal of intelligent transportation...
Amin (2003), Test of a behavioral theory of multi-lane traffic flow: queue and queue discharge flows - Banks, RBanks, J. H., and M. Amin. 2003. "Test of Behavioral Theory of Multilane Traffic Flow: Queue and Queue Discharge Flows." Transportation Research Record: Journal of the ...
But, to find a solution to the problem of regression existing in a high-order vector space, they decided to use the kernel-based model. The kernel-based model uses a functionality called kernel function to effectively draw the map of the multidimensional input data and convert it into a ...
The evolutionary algorithms are stochastic meta-heuristics of global optimization inspired by the theory of evolution. They generally define a strategy applicable to a large number of problems from which a heuristic can be derived for a particular problem. The principle of these algorithms is to repr...
F. The cell transmission model: a dynamic representation of highway traffic consistent with the hydrodynamic theory. Transp. Res. Part B: Methodol. 28, 269–287 (1994). Article Google Scholar Daganzo, C. F. The cell transmission model, part II: network traffic. Transp. Res. Part B: ...
Traffic Flow Theory-交通流理论英文版.pdf,Traffic Flow Theory AMonograph DANIEL L. GERLOUGH and MATTHEW J. HUBER 1~1 SPECIAL REPORT 165 Transportation Research Board National Research Council Washington, D.C., 1975 .. Transportation Research Board Special
The sensor network contains multiple gateways in order to provide safety against gateway failures and sensor nodes (placed on walls of tunnel) equipped with four digitized light sensors and one temperature sensor. The PLC is used to perform actuator functionality for adjusting light according to ...
This paper develops a strategy based on Light Gradient Boosting Machine (LightGBM or LGB) and Gated Recurrent Unit (GRU) to generate features to improve the expression ability of limited features. Moreover, a SARIMA-GRU prediction model considering the weekly periodicity is introduced. First, ...