Traffic signal optimization system based on multi-source traffic big data, and operation method

Abstract

The invention provides a traffic signal optimization system based on multi-source traffic big data, and an operation method. Unified processing on multi-source massive data optimization can be carriedout, a real-time, precise and reliable traffic signal control scheme is generated; and thus, the data analysis real-time property and the comprehensive utilization rate are increased. The traffic signal optimization system based on the multi-source traffic big data comprises a signal machine system, a network communication device and a central system platform; the signal machine system and the central system platform are in communication connection through the network communication device; the signal machine system comprises a control unit and a lamp driving unit; the control unit comprises acore unit and an execution unit; the central system platform comprises a big data processing module; and the big data processing module receives traffic data acquired by a road surface detector, traffic data of an internet platform and traffic data transmitted from a navigation system, performs fusion analysis on the data, forms a regional signal timing optimization scheme, and sends the regionalsignal timing optimization scheme to the signal machine system.

Description

technical field [0001] The invention relates to the technical field of traffic control systems, in particular to a traffic signal optimization system and operation method based on multi-source traffic big data. Background technique [0002] The traffic signal control system is the core component of the urban intelligent traffic system. Since the 1960s, scholars at home and abroad have conducted a lot of research and exploration, and have developed traffic signal control systems with their own characteristics and remarkable effects. For example, the British SCOOT, SCATS in Australia, and Hisense Hi-Con signal control system in China, these systems are widely used in the world, and have indeed played a very good role in alleviating traffic congestion in many cities; but looking at the existing traffic signal control systems In terms of application status, when dealing with multi-source massive data, there are still problems such as low comprehensive utilization of data and ins...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the problems of low data utilization rate and insufficient reliability of real-time processing when processing multi-source massive data, the present invention provides a traffic signal optimization system and operation method based on multi-source traffic big data, which can optimize multi-source massive data Perform unified processing to generate real-time, accurate and reliable traffic signal control schemes, improving the real-time and comprehensive utilization of data analysis

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