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\subsubsubsection{Contiuous Approach}
\subsubsubsection{Discrete Approach}
\begin{table}
\begin{tabular}{ c c }
\emph {Author} \begin{table}[]
\centering
\caption{My caption}
\label{my-label}
\begin{tabular}{ll} \hline
\multicolumn{1}{|l|}{\textit{\textbf{Author}}} &
\emph{Description} \multicolumn{1}{l|}{\textit{\textbf{Description}}} \\ \hline
Lampkin \multicolumn{1}{|l|}{Lampkin and
Saalmans(1967) Saalmans(1967)} &
Minimize \multicolumn{1}{l|}{\begin{tabular}[c]{@{}l@{}}Minimize travel time
\\ \tab \tab \tab given fleet size
\\ and vehicle
size size\end{tabular}} \\ \hline
Hasselstrom (1981) \multicolumn{1}{|l|}{Hasselstrom (1981)} &
Maximize \multicolumn{1}{l|}{\begin{tabular}[c]{@{}l@{}}Maximize number of
passengers (demand) \\ \tab \tab \tab passenger s (demand)\\ given budget and minimum frequency
constraints \\ constraints\end{tabular}} \\ \hline
Ceder \multicolumn{1}{|l|}{Ceder and Wilson
(1986) (1986)} &
Minimize \multicolumn{1}{l|}{\begin{tabular}[c]{@{}l@{}}Minimize travel time, transfer
\\ \tab \tab \tab time
and and\\ fleet size given constraints on
\\ \tab \tab \tab route
length, length,\\ number of
routes and frequency. routes,and frequency.\end{tabular}} \\ \hline
Janarthanan \multicolumn{1}{|l|}{Janarthanan and
Schneider(1998) Schneider(1998)} &
Includes \multicolumn{1}{l|}{\begin{tabular}[c]{@{}l@{}}Includes manual network
design,\\ \tab \tab \tab design, \\ assignment and
feedback. feedback.\end{tabular}} \\ \hline
Van \multicolumn{1}{|l|}{Van Nes et al.
(1998) (1998)} &
Maximize \multicolumn{1}{l|}{\begin{tabular}[c]{@{}l@{}}Maximize the number of
passengers\\ \tab \tab \tab passengers \\ with no transfer given a budget
constraint. constraint.\end{tabular}} \\ \hline
Baaj \multicolumn{1}{|l|}{Baaj and
Mahmassani(1995) Mahmassani(1995)} &
Includes \multicolumn{1}{l|}{\begin{tabular}[c]{@{}l@{}}Includes computer aided
network\\ \tab \tab \tab network \\ design, assignment and line
improvement improvement\end{tabular}} \\ \hline
Ceder \multicolumn{1}{|l|}{Ceder and Israeli
(1998) (1998)} &
Minimize \multicolumn{1}{l|}{\begin{tabular}[c]{@{}l@{}}Minimize travel time, empty
\\ \tab \tab \tab seat
hours hours\\ and fleet
size size\end{tabular}} \\ \hline
Shih et al.(1998) &
Includes \begin{tabular}[c]{@{}l@{}}Includes computer aided network design, \\
\tab \tab \tab transfer nodes, assignment
and and\\ line
improvement improvement\end{tabular} \\
\hline
Chien et al. (2001) &
Minimize \begin{tabular}[c]{@{}l@{}}Minimize user and supplier costs
\\\tab \tab \tab \\ subject to constraints, applies
\\ genetic
algorithm algorithm\end{tabular} \\
\hline
Saka(2001) &
Reduce \begin{tabular}[c]{@{}l@{}}Reduce operating costs by
finding \\
\tab \tab \tab finding optimal spacing of
buses. buses.\end{tabular} \\
\hline
Ngamchai and Lovell (2003) &
Includes \begin{tabular}[c]{@{}l@{}}Includes frequency setting and
\\ \tab \tab \tab headway headway\\ coordination. Applies a genetic
algorithm \\ \tab \tab \tab algorithm\\ to help optimize
bus transit bus,transit route
design. design.\end{tabular} \\
\hline
Verma and Dhingra (2005) &
Routes \begin{tabular}[c]{@{}l@{}}Routes are generated based on
\\ \tab \tab \tab shortest shortest\\ paths, also considers transfers to rail \\
\tab \tab \tab stations.Applies
a genetic algorithm. a,genetic algorithm.\end{tabular} \\
\hline
Fan and Machemehl (2006) &
Includes \begin{tabular}[c]{@{}l@{}}Includes computer aided network
design design\\ and
\\ \tab \tab \tab assignment. Applies a
simulated simulated\\ annealing procedure
\\ \tab \tab \tab to
select an optimal select,an optimal\\ set of
routes. \\ \hline routes.\end{tabular}
\end{tabular}
\end{table}
\subsubsubsection{Hybrid Routing Model}
\subsection{Microsimulation}