Zone-based taxi queuing combines the concept of hunting and waiting. However, it may lead to traffic congestion in certain spots of the queuing zone. To solve above problems, we propose a hotspot aware taxi zone queuing system. Our system adaptively adjusts the service status of queuing line in the zone, and guides taxis to different hotspots based on the mechanism and infrastructure of the zone-based queuing mode. We analyze the historical taxi GPS record data from Taiwan Taxi Inc. and extract the areas that have the massive carrying records in real environments to be hotspots in the queuing zone. Then, we extract the hotspots that have the shortest average waiting time depending on the historical data and real-time data.