Mobile Phone Signaling Data Analysis System Based on ACP Approach

The issue of traffic congestion and public security is becoming more and more important. Traditional solutions are not only high cost in terms of road monitoring and regional monitoring, but also the accuracy and reliability can not be guaranteed. Thus, the traditional solutions can not provide users comprehensive guidance about the travel route planning and travel destination selection and other related guidance. This paper proposes a mobile phone signaling data analysis system based on the ACP approach to solve the aforementioned problems. The ACP approach includes artificial society, computational experiments and parallel execution which build artificial monitoring scene and actual monitoring scene based on mobile phone signaling. The actual monitoring scene and artificial monitoring scene are executed in parallel. Artificial monitoring scene is used to simulate and test the complex actual monitoring scene. Through a large number of computational experiments, various models are trained and evaluated; Artificial monitoring scene constantly updates, optimizes and guides the actual monitoring scene through parallel execution; The actual monitoring scene will feedback the results to the artificial monitoring scene, thus artificial monitoring scene model is continuously amended. The continuous optimization between the actual monitoring scene and artificial monitoring scene can effectively improves the real-time efficiency, accuracy and reliability of the mobile phone signaling system. The proposed system would meet the requirements of ever-increasing real-time, and ensure the comfort and safety for the travel of the users. Copyright © 2019 Acta Automatica Sinica. All rights reserved.