Abstract By using various Internet of Things technologies and communication technologies, smart cities can respond quickly and intelligently to various service requests of cities, thus realizing the intelligent operation and management of cities, strengthening the management of urban facilities and improving the quality of urban services. To improve the operational efficiency of smart car network systems and smart city management systems. In this paper, the authors analyse the intelligent vehicle network system and smart city management based on genetic algorithms and image perception. By using distributed and parallel computing, massive urban data can be quickly stored, processed and analyzed, useful information can be extracted, which can help smart cities make effective decisions and improve the efficiency of infrastructure and resources use. The simulation results show that the proposed coordination strategy can achieve the minimum energy consumption scheduling, thus maximizing the benefits of the data center, thus effectively improving the urban road traffic capacity and alleviating urban traffic congestion.

中文翻译：

---

基于遗传算法和图像感知的智能车联网系统与智慧城市管理

摘要 利用各种物联网技术和通信技术，智慧城市可以快速、智能地响应城市的各种服务请求，从而实现城市的智能化运营管理，加强城市设施管理，提高城市服务质量。提高智能车联网系统和智慧城市管理系统的运行效率。在本文中，作者分析了基于遗传算法和图像感知的智能车联网系统和智慧城市管理。通过分布式并行计算，可以快速存储、处理和分析海量城市数据，提取有用信息，帮助智慧城市做出有效决策，提高基础设施和资源利用效率。