Dr. Sujata Deshmukh

Dr. Bhushan Patil

Dr. Ketaki Joshi

Chinmay Gaonkar

Ms. Prerna Pallan

Sumedh Bhatkar

Abstract

According to India’s 2019 Urbanization Report, one-third of the country’s population lives in cities. This has increased the demand for cities to provide unique services that leverage technological breakthroughs to alleviate and control traffic congestion. The primary objectives of smart traffic systems are to eliminate time delays and waiting times for vehicles to pass due to the hard-coded nature of the current traffic system. According to digital India, smart cities cannot be intelligent without traffic management systems; hence, monitoring, managing, simulating, optimising, and operating traffic in urban areas is necessary to accommodate density-based traffic rather than time-based traffic. The paper proposes a novel algorithm for intelligent traffic systems based on values from an Internet of Things (IoT)-IR sensor. This proposed program gathers data from multiple infrared sensors and automatically sets the timing mechanism for traffic systems based on the length of traffic. For this system, several sensors and considerations in sensor selection are examined from a managerial approach. The user may select and install two or three infrared sensors in this system, depending on the amount of traffic in the lane. The density of traffic on the roadways will be determined using infrared sensors mounted on each lane. These sensors will provide data to the Arduino, which will analyse it using a unique algorithm. Rather than the static approach used by the existing system, it dynamically adjusts the timing for each direction based on traffic density. The background programme analyses traffic on previously scheduled routes and plans the next cycle time in real time to minimise vehicle wait times during each cycle of the time mechanism.

Keywords- IoT, Smart Traffic Management, Smart City, Traffic Congestion, Arduino, IR Sensors