Open AccessRancang Bangun Sistem Identifikasi Arus Lalu Lintas pada Simpang Tiga Menggunakan Database NoSQL
Author(s) -
Muhammad Alkaff,
Iphan Fitrian Radam,
Sugiantoro Sugiantoro
Publication year - 2020
Publication title -
jutisi (jurnal teknik informatika dan sistem informasi)
Language(s) - English
Resource type - Journals
ISSN - 2443-2229
DOI - 10.28932/jutisi.v6i2.2567
Subject(s) - nosql , computer science , database , traffic flow (computer networking) , identification (biology) , traffic congestion , process (computing) , real time computing , operating system , computer network , transport engineering , engineering , botany , scalability , biology
T-junction is one of the types of intersections that often results in congestion, and long queues. Therefore, it is necessary to identify the traffic flow to determine vehicles per hour, Passenger Car Unit (PCU) per hour, traffic fluctuations, vehicle composition, trip composition and traffic flow at peak hours at T-junction. The process of identifying traffic flow is complex and involves many variables. The process is currently still using Microsoft Excel which requires a lot of time and energy and allows for human error. Therefore, the purpose of this research is to design and build a traffic flow identification system at T-junction using NoSQL database. NoSQL is useful for complex data because NoSQL eliminates repetitive data. The results of this research are the traffic flow identification system at T-junction using NoSQL database which consists of vehicles per hour, PCU per hour, traffic fluctuations, vehicle composition, trip composition, and traffic flow during peak hours.