This is a preview. Log in through your library . Abstract In this paper, we propose a simple fully discrete hybrid model for vehicular traffic flow, for which both the macroscopic and the microscopic ...
Abstract: Traffic flow prediction plays a crucial role in Intelligent Transportation Systems (ITS), as it substantially enhances traffic management efficiency, alleviates congestion, and improves road ...
Abstract: To better capture the uncertainty in the random fluctuations of traffic flow and improve the accuracy of short-term traffic flow predictions, this study proposes a Deep Kernel Adaptive Grey ...
A model is developed to predict area-to-area transition probabilities for traffic in supermarkets. The independent variables involve physical measures of store layout and transaction volumes at ...
Robotics Lab, Computer Science Faculty, University of Namur, Namur, Belgium Traffic monitoring is a critical aspect of urban infrastructure management. With the advancement of technologies, ...
Vehicular emissions, being a major global health concern, have gathered worldwide attention and necessitated extensive research to gain deeper insights. The aim of this study was to estimate the ...
From off-the-shelf components, it’s possible to build a DGPS/wireless-mesh system that reduces accidents and congestion. Two major problems afflict automobile-based transportation systems in the U.S.
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