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Output: the optimal objective value (ETTT) and optimal solution [x.sup.*].
It can be seen from Tables 5 and 6 that both classes of users benefit from incorporating inverse-direction EV lanes: the ETTT of private cars drops from 119,101.05 to 116,230.05 and that of EVs decreases from 3,322.89 to 2,884.32.
Setting the weighted parameter [rho] equal to 1.0 implies that the network planner is only concerned about the ETTT of private cars.
In this sense, balancing two conflicting objectives of minimizing ETTTs of private cars and EVs eventually creates, to a certain extent, a zero-sum game.