Currently, the existence of city transport is increasingly eliminated b y private vehicles such as cars and motorcycles. This situation is further exacerb ated b y the b ehavior of city transport drivers who are less discipline in driving, or in picking up and dropping off their passengers. The b ad b ehavior is partly caused b y the low level of passenger occupancy. The drivers try to search for passengers as much as possib le b ut often ignore the traffic rules. To overcome this prob lem, an optimal transport route with high passenger potential is required. Therefore, this study investigated the optimal route of city transport b ased on the passenger occupancy rate in the city of Bandung as the case study. The method employed for determining the optimal route is Genetic algorithm comb ined with Ordinary Kriging method used for the process of passenger prediction and fitness calculation. The optimal routes are those with higher occupancy rate. The analysis results showed that the use of the Genetic algorithm with a low numb er of generations succeed in creating new optimal routes even though the increase is not too high the maximum only reaches 4%.This result is certainly important enough to b e used in making b etter pub lic transport routes.
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