Decisive transportation commercial metric using random process theory and discursive ranking procedure

Transportation is one of the inevitable and in-disposable shipment facilities for the huge number of people in our world. In our day to day life plenty number of segmented people use their own conveyance for any type of shipment. In our study we used to find which type of shipment is economical and also convenient for the lower and middle class people. For that here we identified three of mass transportation method much be appreciated for the people in huge mass. The three types of public transportation means are Metrorail, Monorail and Bus Rapid Transport System (BRTS). In this paper we took 19 cities into account for the above said transportation. Our aim is to find which mode of transportation is economical and viable in the cities for the people, to obtain a conclusion we identified ten attributes for measuring the mode of public transportation. From the plenty number of websites data has been taken for the respective attributes for 19 cities the semantic table and the tuples available are vital for our observation and identification. Here we employed two methodologies in terms with the Random Process Theory (RTP) and Analytical Hierarchy Process (AHP) which is ever been used in this segment and this is the first time we proposed such a type of a phenomenal methodology for the past one and half decades in this field of public transportation.

Decisive transportation commercial metric using random process theory and discursive ranking procedure Keywords:

analytical hierarchy process (AHP) , transportation , random process theory (RTP) , Markov Chain (MC)