Application of artificial intelligence technology in the economic development of urban intelligent transportation system.

IF 2.5 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE PeerJ Computer Science Pub Date : 2025-03-20 eCollection Date: 2025-01-01 DOI:10.7717/peerj-cs.2728
Ziming Zhao, Jinyu Chen
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Abstract

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.

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人工智能技术在城市智能交通系统经济发展中的应用。
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。本文从五个方面分析了人工智能技术在城市智能交通系统中的应用。将人工智能技术应用于交通数据采集与处理,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,并采用优化调度算法对城市拥挤道路上的车辆进行智能调度。在智能交通信号控制中,人工智能算法可用于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,可以利用AI技术分析大量交通数据,为城市交通管理者提供决策支持,分析AI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。本文对人工智能技术在城市智能交通系统中的经济效益进行了评价。评价结果显示,应用AI技术后的城市智能交通系统总经济成本比应用AI技术前减少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,保证道路交通安全。
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来源期刊
PeerJ Computer Science
PeerJ Computer Science Computer Science-General Computer Science
CiteScore
6.10
自引率
5.30%
发文量
332
审稿时长
10 weeks
期刊介绍: PeerJ Computer Science is the new open access journal covering all subject areas in computer science, with the backing of a prestigious advisory board and more than 300 academic editors.
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