Dynamic Traffic Control and Management System for Smart Cities

• Autorzy: Abdul Mateen , Sabeen Sher , Amjad Rehman , Zahid Hanif , Akhtar Tooba , Ashraf Mahmood

Identyfikatory

DOI

10.12913/22998624/100387

• Języki publikacji: EN

Abstrakty

EN

The computational capabilities of computers enable a human being to control the vehicles and their traffic. Automatic traffic control system not only reduces the effort of human but also provides secure and accurate results. Here, the architecture of Agent-Based Autonomous Controller (ABAC) that manages vehicles at traffic signals intelligently was proposed. The proposed solution is followed by a vehicle counting by infrared (IR) sensor; providing solution for independent and mutual dependent signals for smooth traffic flow; emergency vehicles alert and priority over public vehicles through Radio Frequency Identification (RFID). Finally, the proposed research was tested through simulation that reveals the performance over the previous traffic control and management architectures.

Słowa kluczowe

EN

traffic flow; management; mutual dependent; infrared

PL

ruch uliczny; zarządzanie; wzajemna zależność

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2018
• Tom: Vol. 12, no 4
• Strony: 216--225
• Opis fizyczny: Bibliogr. 30 poz., fig., tab.

Twórcy

autor

Abdul Mateen

• Department of Computer Science, Federal Urdu University of Arts, Science & Technology, Islamabad, Pakistan

autor

Sabeen Sher

autor

Amjad Rehman

• College of Computer and Information Systems, Al Yamamah University, Riyadh,11512, Saudi Arabia

autor

Zahid Hanif

• Department of Computer Science, Federal Urdu University of Arts, Science & Technology, Islamabad, Pakistan

autor

Akhtar Tooba

• Department of Computer Science, Federal Urdu University of Arts, Science & Technology, Islamabad, Pakistan

autor

Ashraf Mahmood

• Department of Computer Science, Federal Urdu University of Arts, Science & Technology, Islamabad, Pakistan

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).