Zhao Ziming, Chen Jinyu
School of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing, China.
College of Business Administration, Capital University of Economics and Business, Beijing, China.
PeerJ Comput Sci. 2025 Mar 20;11:e2728. doi: 10.7717/peerj-cs.2728. eCollection 2025.
With the rapid development of the social economy and the gradual improvement of residents' living standards, the increasing number of urban cars has exacerbated urban traffic congestion. This article analyzed the application of artificial intelligence (AI) technology in five aspects of urban intelligent transportation systems. Artificial intelligence technology was used in traffic data collection and processing to provide accurate data support for traffic decision-making. A traffic flow prediction model was established for traffic flow prediction and optimized scheduling algorithms were used to dispatch vehicles on congested urban roads intelligently. Artificial intelligence algorithms can be used to optimize urban traffic signal control systems in intelligent traffic signal control; artificial intelligence technology can be applied to develop intelligent driving systems in the fields of intelligent driving and traffic safety; in terms of data analysis and decision support, it can use AI technology to analyze a large number of traffic data to provide decision support for urban traffic managers, and analyze the impact of the application of AI technology in urban intelligent transportation system on urban economic growth. This article evaluated the economic benefits of artificial intelligence technology in urban intelligent transportation systems. The evaluation results show that the total economic cost of the urban intelligent transportation system after the application of AI technology was 2,961 yuan less than before the application of AI technology, significantly reducing the investment cost of roads. This article analyzes the application of artificial intelligence technology in the economic development of intelligent urban transportation systems, which can meet the needs of healthy urban development and ensure road traffic safety.
随着社会经济的快速发展和居民生活水平的逐步提高，城市汽车数量的不断增加加剧了城市交通拥堵。本文分析了人工智能（AI）技术在城市智能交通系统五个方面的应用。人工智能技术用于交通数据的收集和处理，为交通决策提供准确的数据支持。建立交通流预测模型进行交通流预测，并使用优化的调度算法在拥堵的城市道路上智能调度车辆。人工智能算法可用于智能交通信号控制中优化城市交通信号控制系统；人工智能技术可应用于智能驾驶和交通安全领域开发智能驾驶系统；在数据分析和决策支持方面，它可以利用人工智能技术分析大量交通数据，为城市交通管理者提供决策支持，并分析人工智能技术在城市智能交通系统中的应用对城市经济增长的影响。本文评估了人工智能技术在城市智能交通系统中的经济效益。评估结果表明，应用人工智能技术后城市智能交通系统的总经济成本比应用人工智能技术前减少了2961元，显著降低了道路投资成本。本文分析了人工智能技术在智能城市交通系统经济发展中的应用，能够满足城市健康发展的需求，保障道路交通安全。
