Nowadays, conventional taxi business meets strong competition with the online taxi service. One of the problem is that in online taxi service that adopts sharing economy platform, public can join to be a driver easily as far as he owns the vehicle. So, there are large number of vehicles are in the online taxi service. This condition is different to the existing conventional taxi that is operated by private company and the vehicles are owned by the taxi company. Even the taxi company is a big corporate, it still cannot compete with the online taxi service. The answer is developing collaboration between taxi companies so that the service is operated by a single system. Unfortunately, creating collaboration system among taxi companies is not easy. It is because the number of fleets that are owned between companies is various. The other problem is that each company has its own pricing strategy. In this research, we propose the dispatch model for conventional taxi collaboration system. Parameters in this model are travel cost, pickup distance, vehicle?s idle time, and the fleet size. In this research, we propose three models. In the first model, order will be allocated to the vehicle that offers the lowest travel cost and has longest idle time. In the second model, order will be allocated to the vehicle that offers the lowest travel cost but the model does not guarantee that longer idle time vehicle will be preferred. In the third model, the order will be allocated to the vehicle that has the highest aggregate score of travel cost, pickup distance, idle time, and fleet size. Based on the simulation result, the first and the second models has advantage in offering the lowest travel cost while the third model has advantage in keeping pickup ratio at maximum level.
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