- Tytuł:
- Dynamic Traffic Control and Management System for Smart Cities
- Autorzy:
-
Abdul, Mateen
Sabeen, Sher
Amjad, Rehman
Zahid, Hanif
Akhtar, Tooba
Ashraf, Mahmood - Powiązania:
- https://bibliotekanauki.pl/articles/102834.pdf
- Data publikacji:
- 2018
- Wydawca:
- Stowarzyszenie Inżynierów i Techników Mechaników Polskich
- Tematy:
-
traffic flow
management
mutual dependent
infrared
ruch uliczny
zarządzanie
wzajemna zależność - Opis:
- 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.
- Źródło:
-
Advances in Science and Technology. Research Journal; 2018, 12, 4; 216-225
2299-8624 - Pojawia się w:
- Advances in Science and Technology. Research Journal
- Dostawca treści:
- Biblioteka Nauki
Artykuł