Designing a Model on Smart Traffic Control System
Gauri Sonawane1, Sajidullah Khan2
1Ms.Gauri V. Sonawane*, Research Scholar Department of Computer Science and Engineering, Sandip University India.
2Dr. Sajidullah Khan, Associate Professor, Department Computer Science and Engineering, Sandip University, India.
Manuscript received on December 14, 2019. | Revised Manuscript received on December 22, 2019. | Manuscript published on January 10, 2020. | PP: 1065-1068 | Volume-9 Issue-3, January 2020. | Retrieval Number: C8124019320/2020©BEIESP | DOI: 10.35940/ijitee.C8124.019320
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Lots of Traffic Congestion during office hours or some special Occasion also during heavy traffic usually results in uncertainty and dispute, auto crashes, waste of time and resources, and release more carbon into the ecosystem so to avoid heavy traffic jams and to avoid them to wait on signal. Proposed idea will be given more advantage to reduce waiting time on the signals and vehicle will be easily pass with the help of speed management notification on on Digital Gadget. Each vehicle is furnished with RFID and with the help of distance sensor location of vehicle signal system can easily detected and system will provide notification to a person who drives a vehicle on their mobile phone or Digital gadget, according to that person will manage the speed of the vehicle to reduce waiting time on signals with the help of this system. It reduces everyday congestion, by regulating traffic flows and prioritizing traffic to demand in running time. Reducing the pollution throughout the urban area and polluting also in our system if the traffic density is more or if there is a traffic jam, then we would be uploading the status on the GPS which would indicate that there is a traffic jam at a particular signal. Prevent Maximum amount of traffic flow & can prevent traffic congestions. Real time measurement of speed of vehicle to control the traffic congestion is possible through image processing. Huge amount of processing algorithms are present to detect the speed of vehicle.by using image processing algorithm we easily detect the number of vehicle and speed and motion of particular vehicle.
Keywords: Routing Optimization, Thermal Camera, RFID.
Scope of the Article: Thermal Engineering