An Urban Traffic Decision Analysis Platform based on Virtual Geographic Environments (VGEs)

Abstract

A In-depth mining and analysis of traffic big data can help the government better manage urban traffic problems. However, most of the current transportation systems are based on big data prediction and control of transportation facilities, and lack of mechanism research integrating multi-humanities fields, which is not conducive to fundamentally solving urban transportation problems. Based on virtual geographic environments (VGEs), this paper proposes an urban traffic decision-making analysis (UTDA) platform, which supports the storage of multi-source heterogeneous data, the integration of multi-disciplinary models, the display of multi-form visual analysis results and the collaborative work among multiple users. Then, a platform framework based on hybrid cloud was built and the collaboration mechanism within the platform was described in detail. Then, taking Beijing's multi-source traffic big data as an example, a prototype system was implemented to verify the feasibility of the coordination mechanism and system framework, and the ability of the system to solve urban traffic problems. Finally, this paper discusses the impact of emerging technology on the development of urban traffic decision analysis platform.