Fuzzy Logic Adaptive Bus Route Determination for Intelligent Transportation System of Buses along Epifanio Delos Santos Avenue (EDSA)

Transportation is a huge part in the growth and competitiveness of a country as it links connectivity and enables human mobility. Epifanio Delos Santos Avenue (EDSA) has been the main thoroughfare in Metro Manila that deals with various problems in transportation such as the handling of provincial utility buses (PUBs) that has a huge contribution in traffic jams, especially during rush hours. With that, this study develops an intelligent decision-making algorithm using fuzzy logic that will recommend bus behavior before departing a terminal. Input parameters utilized in this study are the bus specification with an allowable standing capacity of 25%, road distance between bus stops, road frequency or velocity unit in km per hour, alighting and boarding passengers demand frequency unit in passengers count coming from the generated origin to destination matrix with random values. With the use of these input parameters, the program will be able to adapt in the given traffic situation, determine the highly demanded bus stops, and estimate the time of arrival at each bus stop. Thus, the country's economic growth and productivity will undoubtedly increase if this can be applied effectively to one of the main forms of transportation in Metro Manila.