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2 2025

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Software development for selecting an installation option of photo-video fixation for traffic violations

Nguyen Xuan-Hien, Vu Hai-Quan, Trinh Dac-Phong

Zeszyty Naukowe. Transport / Politechnika Śląska

2025

z. 126

161--170

The article discusses the software proposed by the authors for selecting the optimal option for installing a photo-video fixation system of traffic violations. The software uses the Microsoft Visual FoxPro 9.0 programming language, which is simple, easy to use and provides an overview of the technical solution in the application of the ITS system.

Applying neural network techniques to determine traffic flow redirection proportions in road networks

Nguyen Xuan-Hien, Vu Thi Van Anh, Than Quoc Viet, Pham Viet Thanh, Nguyen The Anh, Ha Muon

Zeszyty Naukowe. Transport / Politechnika Śląska

2025

z. 127

267--275

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 redistribution needed to maintain network efficiency under such conditions. A novel method is proposed to mitigate congestion by rerouting vehicles from heavily loaded roads, identified by high network load coefficients, to alternative routes. The approach also calculates the optimal volume of redirected traffic to avoid overloading other parts of the network, thereby minimizing the risk of secondary congestion. To achieve this, neural network-based survey and regression analysis techniques are utilized, offering precise and data-driven solutions for traffic redirection. The study highlights the potential of improving urban traffic flow through enhancements to indirect traffic control systems integrated into Intelligent Transportation Systems. By optimizing vehicle rerouting strategies, the proposed method seeks to increase ITS efficiency, especially in scenarios with high congestion risks or traffic accidents. This approach promises a more resilient and adaptive urban transportation network, ensuring smoother traffic operations and reduced congestion impacts.