To solve and improve the evacuation of complex multiple storey buildings under emergency situations

an indoor navigation and localization system using smart phone and artificial neural network（ANN） is proposed.Through the radio frequency identification（RFID） technology

the position of each user is tracked.The ANN module on the server dynamically analyze on environment inside the building

and generate the necessary instruction to guide the user to evacuate.The evacuation route will be sent to the user through the Android smart mobile application.In addition

the system can use a voice-visual element to make use of the user’s smart phone for immediate navigation.A fire simulation program is used to simulate the fire in a high-rise building.The test results show that the system can provide accurate navigation for users in the building according to the physical characteristics of each user and the different environments in the building.