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• W2921024056 abstract "VANET constitutes a huge research area due to its potential in traffic management and road safety. In this paper, we propose a novel, smart, and compact representation of vehicular networks. Starting from the standard graph representation, we extract a signal assigning a congestion factor to each vehicle, so that highly jammed traffic areas can be immediately detected by identifying the highest peaks of the wave. The way the signal is built provides useful information about vehicles distribution throughout the network, producing as result a simple but very meaningful wave characterizing the corresponding VANET." @default.
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• W2921024056 date "2019-01-01" @default.
• W2921024056 modified "2023-09-30" @default.
• W2921024056 title "A Smart Compact Traffic Network Vision Based on Wave Representation" @default.
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• W2921024056 doi "https://doi.org/10.1007/978-3-030-15035-8_85" @default.
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