Towards the Implementation of Smart Traffic Control in Nairobi City Using Iot

Abstract

The City of Nairobi is experiencing a population explosion, which leads to an increase in traffic congestion. Urban residents are suffering inadequate transport facilities, and meanwhile, the considerable financial loss caused by traffic becomes a significant and growing burden on the nation's economy. The existing traffic control system works based on a constant timing mechanism, which provides equal time slots for each junction. The primary objective of the research was to develop a smart traffic model using IoT. Quantitative data was analyzed using descriptive research analysis which was presented through a measure of central tendency and visual tabulation. The data findings illustrated the relationship of time and traffic where a change in time during peak hours caused an increase in the number of traffic at a road intersection controlled by traffic lights. The research was limited to a sample of streets within Nairobi City, which are controlled by traffic lights. Traffic congestion in Nairobi is crippling the economy through loss of revenue and time during peak hours. Smart traffic control using IoT will enhance the seamless flow of traffic. A traffic simulation model was used to illustrate how the problem of traffic congestion will be solved and how the policymakers and engineers will use the model to actualize a real system.