AN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING BASED TRAFFIC CONTROL SYSTEM

• Main Authors: Kumar, K. Vinod, Naveen, Karamala, Babu, G. Venkata Suresh, Bangar, Parvinder, Suresh, A, Alluraiah, K, Chaudhari, Vijay Dattatray, Maram, Balajee, Soshte, Raj Ankush, Srinadh, V, ESWARI, DUTTA SAI, Patil, Anil J, P., SANKAR, Swathi, R, H., Girish, Kshirsagar, Pravin R
• Format: Patent
• Language: English
• Published: 24.09.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; PHYSICS; SIGNALLING; TRAFFIC CONTROL SYSTEMS

The present invention relates to an artificial intelligence and machine learning based traffic control system. The object of the proposed invention is to provide priority to pass emergency vehicles like VIP vehicles, Ambulances, Fire Trucks to their destinations at the earliest. The preferred invention consists of controller, receiver, transmitter and switch present in the vehicle. Herein the present invention user gives inputs and sends data to concerned traffic light control station. Then traffic control station makes decision whether signal is received from priority vehicle or not. If signal receives from a priority vehicle then control system provides green signal to the priority vehicle and if signal receives from ordinary vehicle then regular traffic signal provides to that vehicle. Following invention is described in detail with the help of Figure 1 of sheet 1 showing the block diagram of artificial intelligence and machine learning based traffic control system. 0iur