Weighing Parameters and Analysis of Congestion using Markov Chain Model
Nimma Mukesh Raghavendra, Avinash Poojari, , ,
Markov chain (discrete-time Markov chain named after Andrey Markov, is a random process that undergoes transitions from one state to another on a state space. It must possess a property that is usually characterized as "memorylessness": the probability distribution of the next state depends only on the current state and not on the sequence of events that preceded it. This specific kind of "memorylessness" is called the Markov property. Here the parameters are land use, road inventory, traffic characteristic and pedestrian. These parameters are enhancing the travel time of the road user because of not reaching the standards. These parameters helps to identify the gap .Linear equation helps to quantile measure of delay and encounter by meeting the needs of the user by standards to provide LOS A.
Nimma Mukesh Raghavendra et al.,International Journal of Computer Engineering In Research Trends
Volume 3, Issue 3, March-2016, pp. 143-148
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