Traffic congestion is a situation of increased disturbance of the motion of traffic. India, accompanied by much growing vehicles on the road, so that congestion of the traffic is quickly increasing. Traffic is still cannot thoroughly forecast under which case Traffic Jam may abruptly occur. This study proposes self-similarity structure; it plays a crucial role in queuing system in the field of congestion traffic. The proposal summarizes that whether vehicle arrival pattern on Highways is self-similar in nature or not? Also depict the results in terms of Length of the Queue, Waiting Time Distribution, Traffic Intensity etc., using Queuing models. For this we provided the data from V.R Technique Consultant Pvt. Ltd, India, as of Toll Plaza reports from Delhi Gurgaon section of National Highway 8(NH8) in India. Few techniques to test the self-similarity have been used and obtained values of Hurst parameter are reasonably close to each other. Using M/M/1 queuing model and an empirical with Hurst index terms mean queue length has been computed against traffic intensity. Results of the study reveal that mean queue length increases as and increase. This kind of research is to forecasting the performance analysis and chronic improvement of toll plazas.

Queuing Model, System Design, Self-similarity, Hurst Index, Queue Length, Waiting Distribution, Traffic Intensity

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