Enhancing traffic safety: a comprehensive approach through real-time data and intelligent transportation systems

• Autorzy: Le, Khanh Giang
• Języki publikacji: EN

Abstrakty

EN

Today, traffic accidents are still a difficult and urgent problem for many countries around the world. Traffic accidents on highways are often more serious than accidents on urban roads. Therefore, disseminating emergency information and creating immediate connections with road users is key to rescuing passengers and reducing congestion. Thus, this study applies data fusion and data mining techniques to analyze travel time and valuable information about traffic accidents based on the real-time data collected from On-Board Unit installed in vehicles. The results show that this important information is the vital database to analyze traffic conditions and safety factors, thereby developing a smart traffic information platform. This result enables traffic managers to provide real-time traffic information or forecasts of congestion and traffic accidents to road users. This helps limit congestion and serious accidents on the Highway.

Słowa kluczowe

PL

wypadek drogowy; autostrada; duże dane; eksploracja danych; inteligentny system transportowy

EN

traffic accident; highway; big data; data mining; intelligent transportation system

• Czasopismo: Zeszyty Naukowe. Transport / Politechnika Śląska
• Rocznik: 2024
• Tom: z. 122
• Strony: 129--149
• Opis fizyczny: Bibliogr. 18 poz.

Twórcy

autor

Le, Khanh Giang

• Faculty of Civil Engineering, University of Transport and Communications, Hanoi, Vietnam,

Bibliografia

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Identyfikatory

DOI

10.20858/sjsutst.2024.122.8