APPLYING NEURAL NETWORK TECHNIQUES TO DETERMINE TRAFFIC FLOW REDIRECTION PROPORTIONS IN ROAD NETWORKS

APPLYING NEURAL NETWORK TECHNIQUES TO DETERMINE TRAFFIC FLOW REDIRECTION PROPORTIONS IN ROAD NETWORKS

This article explores traffic management strategies for addressing unpredictable events in transportation networks, focusing on situations where road segment capacity is reduced due to factors like traffic accidents or disruptions. The research aims to determine the proportion of traffic flow redist...

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Bibliographic Details
Main Authors: Xuan-Hien NGUYEN, Thi Van Anh VU, Quoc Viet THAN, Viet Thanh PHAM, The Anh NGUYEN, Muon HA
Format: Article
Language:English
Published: Silesian University of Technology 2025-06-01
Series:Scientific Journal of Silesian University of Technology. Series Transport
Subjects:
traffic management
intelligent transportation systems
intelligent neutral network
traffic flows
Online Access:https://sjsutst.polsl.pl/archives/2025/vol127/267_SJSUTST127_2025_Nguyen_Than_Pham_Nguyen_Ha.pdf
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