One of the main goals of the Malaysia’s national energy transition is to increase the nation’s energy dependance on green energy by the year 2030. One of the methods of doing this trough the adoption of Electric Motorcycles. However, the adoption will be impossible without key infrastructures, especially charging stations. The goal of this study is to analyze the queueing experience of E motorcycle riders when using charging stations. This was done by using the Monte Carlo method to simulate the arrival rate of the riders and the charging time for each charging process. Then, the queue was modelled using M/M/c queueing method. The results showed that the average arrival rate for charging station is at 6.0074 riders per hour, the maximum is 12 riders per hour and the minimum is 0.112 riders per hour while the average charging time is 24.17 min, the maximum is 40 min, and the minimum is 8 min. It was also shown that the average value is the most likely scenario for the charging station. The queueing model has shown that for the average arrival rate and charging time, a minimum of 3 charging ports is required and this produce an average time in queue of 0.189 min and an average time in system of 8.173 min. This study has shown a method of designing a charging station for E motorcycles that takes into consideration the riders’ experience.