KEYWORDS: Operational intelligence, Signals intelligence, Control systems, Signal detection, Signal processing, Computer security, Education and training, Network security, Design and modelling, Data transmission
In order to meet the requirements of intelligent and information development of urban traffic information control operation and maintenance, an intelligent operation and maintenance system of the urban traffic signal is put forward. First, the overall architecture of the system is constructed. According to the management requirements of urban traffic signals, the architecture based on the interface layer, platform layer, and application layer is proposed. Secondly, a calculation method of the health degree of traffic signals based on multi-level comprehensive evaluation is proposed. For the signal equipment from the operation, maintenance to replacement of the scientific closed-loop management, to complete the optimization of its running status monitoring and fault management. It is helpful for the traffic control center to find and solve the fault of the signal the first time, improve the efficiency of operation and maintenance, and ensure traffic safety.
The number and scale of highway tunnels in Xinjiang are growing day by day, but the newly built emergency resources are far below the national average. Once a traffic accident occurs in multiple highway tunnels, the resources provided by the emergency resource points may not be able to meet the emergency resource needs of all accident points at the same time, resulting in further loss of life and property. Through the research on the priority of traffic accident rescue in multiple highway tunnels, a multi-objective planning model for emergency resource scheduling of highway tunnels is established, which aims at the shortest delay time of resource scheduling and the highest satisfaction of emergency resources. The priority coefficient is introduced into the mathematical model, and the optimal solution of the mathematical model is found using LINGO software, so as to obtain the optimal emergency resource scheduling scheme. The results show that the model can solve the emergency resource scheduling problem. It does not provide reference for emergency decision makers.
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