IMAGE processing based intelligent traffic controlling and monitoring system using Arduino
Mallikharjuna Rao Sathuluri, Santhi Kiran Bathula, Pavankumar Yadavalli, Ramarao Kandula
Abstract
Mallikharjuna Rao Sathuluri, Santhi Kiran Bathula, Pavankumar Yadavalli, Ramarao Kandula
Abstract
The tremendous change in vehicle fleet size and consequently in the volume of traffic is not followed by increase in the space of the road in all the time. This causes traffic congestion mostly in all the urban areas. In order to avoid traffic jams, we need to find a solution. In previous decades many technologies were developed and designed solutions to make road ways safer. Some among these techniques were classic where as other are integrated. New designed systems are capable of informing drivers about the traffic conditions and possible hazards of the road way with the help of intelligent transportation system. This project proposes Internet concepts of Things-based approach that solve problems raised by traffic congestion this gives solution to raising traffic related pollution. This architecture is composed of two modules i.e., hardware module and software module. The system utilizes new technologies for real-time collection, organization and transmission which provide the information to estimate the accurate traffic density exploited by traffic-aware applications.
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The tremendous change in vehicle fleet size and consequently in the volume of traffic is not followed by increase in the space of the road in all the time. This causes traffic congestion mostly in all the urban areas. In order to avoid traffic jams, we need to find a solution. In previous decades many technologies were developed and designed solutions to make road ways safer. Some among these techniques were classic where as other are integrated. New designed systems are capable of informing drivers about the traffic conditions and possible hazards of the road way with the help of intelligent transportation system. This project proposes Internet concepts of Things-based approach that solve problems raised by traffic congestion this gives solution to raising traffic related pollution. This architecture is composed of two modules i.e., hardware module and software module. The system utilizes new technologies for real-time collection, organization and transmission which provide the information to estimate the accurate traffic density exploited by traffic-aware applications.
Key concepts: SAFER, Computer science, Floating car data, Traffic congestion, Intelligent transportation system, Vehicle Information and Communication System, Arduino, The Internet