RETRACTED: Delay control system of intelligent traffic scheduling based on deep learning and fuzzy control (Retracted Article)

被引:2
|
作者
Hong, Wang [1 ]
Peng, Yue [1 ]
机构
[1] ZIBO Tech Coll, Zibo, Shandong, Peoples R China
关键词
Dispatching system; intelligent transportation; delay control system; deep learning; LESSONS;
D O I
10.3233/JIFS-179807
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The intelligent traffic dispatch delay control system is an application system that combines system integration and command dispatch, and system integration serves command dispatch. This system has relatively independent system functions and various research results obtained from multi-data source analysis. Therefore, it is advisable to adopt a technical route of functional modularization and multi-layered architecture. Each functional module relatively completes the required functions independently, and provides a hierarchical service relationship between the modules. Maximizing the efficiency of road use is an important part of urban road traffic control. Urban road traffic control is mainly the control of traffic signals. Simulation results show that this system can effectively improve the efficiency of traffic dispatching, and at the same time has a real-time feedback function. The shortest path can be calculated through vehicle monitoring and combined with the GIS module. The vehicle position information and the shortest path between each vehicle and the accident point are displayed in the map panel, and the operator selects a vehicle to be dispatched according to a vehicle selected on the map and associated with a row in the vehicle information panel table.
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收藏
页码:7329 / 7339
页数:11
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