Scheduling (production processes)

Computer network

Intelligent transportation system

Floating car data

Intelligent control

Operating system

Distributed computing

Engineering

Network packet

Artificial intelligence

Network congestion

Traffic flow (computer networking)

Operations management

Transport engineering

Traffic congestion

Computer science

Advanced Traffic Management System

Virtualization

Real-time computing

Cloud computing

IEEE Transactions on Industrial Informatics

This article aims at discussing problems such as complex object types, large amount of data collection, high demand for transmission and calculation, and weak real-time scheduling and control ability in the construction of modern intelligent traffic information physical fusion network, cloud-based control system theory, modern intelligent traffic control network as the research object, and the physical design of the intelligent transportation information fusion cloud control system scheme. The scheme includes intelligent transportation edge control technology and intelligent transportation network virtualization technology. Based on intelligent traffic flow data, in the center of the cloud control management server using deep learning and overrun learning machine intelligence study methods, such as the forecast of traffic flow data for training, to predict urban road short-term traffic flow and congestion. Further up in the air by using intelligent optimization scheduling algorithm for real-time traffic flow control strategy, the simulation results show the effectiveness of the proposed method.

Intelligent Traffic Control System Based on Cloud Computing and Big Data Mining