Abstract:

One of the major problems in India is traffic congestion, which is especially common in the country's major cities. For example, congested roadways serve as a stark reminder of the lodge's awfulness. Since streets are frequently free for the taking, there is little financial incentive for cars to use them responsibly, leading to traffic jams whenever demand exceeds the ability to pay. Both street estimating and the privatization of interstates have been suggested as possible solutions to reduce traffic through financial disincentives and rewards. Blockage can also happen as a result of one-time parkway events, like a mishap or road construction, which may reduce the street's capacity below normal levels. While congestion is a possibility for all modes of transportation, the majority of the systems focused on vehicle obstruction on open streets. Techniques for image analysis have been widely used in traffic framework management and control. This paper suggests an alternative methodology, an algorithm, that would help distribute traffic fairly while controlling the signal by utilizing HERE maps API in order to eliminate the excess and impracticality of these image preparation frameworks

Description:

Machine learning, traffic signal algorithm, traffic management, and congestion