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It is quite imperative that the Bus Rapid Transit (BRT) model on PT must be implemented in the city. To design a new concept that will be devised for the use of the commuters entails proper planning. Schaller et al. state that designs which do not address customer's concerns could have serious problems in terms of customer's acceptance \cite{Schaller_1998}. PT is a user-centered/social model, wherein it assumes rational and informed behavior on each individual and can therefore be formally described with some simple equations. However, humans are described to act irrationally, selfishly and make mistakes in judgment. Differences in individuals are large enough to have influence on certain systems/models where it cannot simply be averaged out. These problems though, can be addressed by introducing calibration factors which are compared to real, measured data.\cite{Ljubovic_2009}. Evaluating concepts from a passenger's perspective is difficult to achieve unless tested with the use of a real vehicle. Luckily, a feasible alternative which is inexpensive and efficient is to make use of agent based simulations to analyze. This can be in terms of dwell times, passenger flow and personal space among the factors that feature a passenger's acceptance \cite{Schelenz_2012}.\\  \subsetcion{Agent-Based \subsection{Agent-Based  Models} \label{sec:agentbasedmodels}  Agent-based modeling is a powerful method to form simulations that models autonomous units to make decisions - agents. Agents create decisions like a human, has its own perspective and bound by certain decision rules but realistically also lacks the complete picture of the system. Agent-based models can have rules and behaviors that could not have been predicted mathematically \cite{Ljubovic_2009) and one example in application to the research paper is the instance of traffic congestion. \\