Online Motorcycle Taxi Simulation by Using Multi Agent System

摘要

Motorcycle taxi (ojek) is a popular public transportation in Indonesia for decades. Ojek offers door to door service in cheaper price, especially for single passenger. Nowadays, the online ojek makes this transportation mode becomes more attracting and popular. Because this business is new and the business model is still improved, the simulation of this service is needed to predict the impact of company policy to the driver revenue and the customer satisfaction. In this paper, we propose the simulation that is developed based on multi agent system. There are two types of agent: the driver and the passenger. The novelty of this paper is the usage of some factors in the actor's decision making model. These factors are bravery factor, safety factor, maximum waiting time during finding a driver, maximum number of pickup order trial, driver's maximum distance, and passenger travel distance. Based on the simulation data, some parameters give significant influence in pickup ratio while the others give less significant influence. Parameters that give significant influence are driver inter arrival time, passenger inter arrival time, driver maximum distance, and passenger travel distance. Parameters that give less significant influence are maximum number of pickup order trial, maximum waiting time, safety factor, and bravery factor.