Priority-Based Classification: An Automated Traffic Approach

Abstract

In this paper, an advanced methodology is proposed to automate the traffic system by categorizing the incoming vehicles. Vehicles are classified as ‘Public’ and ‘Private’ transport. ‘Public’ transport is considered to carry large number of people. It is considered in this paper that avoidance of traffic congestion and man power wastage are achieved by releasing public vehicles with highest priority. Lanes are categorized as high priority lane (L P), normal lane (L N), and idle lane (L I). Probability of waiting in the queue for an incoming vehicle is measured based on the Erlang distribution method. Avoidance of traffic congestion and manpower wastage due to indefinite waiting time in traffic is handled efficiently by our proposed approach. It is presumed that efficiency and productivity of human resource are increased by providing efficient and smooth congestion-free transport system. Minimum production time is expected from the human resources; hence usage time of electronic resource is minimized. Power and energy consumption are minimized as an indirect effect of efficient traffic system.