Smart Urban Mobility: When Mobility Systems Meet Smart Data

Smart Urban Mobility: When Mobility Systems Meet Smart Data
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DOI:
10.1109/tits.2021.3084907
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发表时间:
2020-05
影响因子:
8.5
通讯作者:
Zineb Mahrez;Essaid Sabir;E. Badidi;W. Saad;M. Sadik
Zineb Mahrez;Essaid Sabir;E. Badidi;W. Saad;M. Sadik
中科院分区:
工程技术1区
文献类型:
--
作者:
Zineb Mahrez;Essaid Sabir;E. Badidi;W. Saad;M. Sadik

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世界各地的城市正在急剧扩张,到2050年,城市人口增长将达到近25亿人,道路交通增长将超过12亿辆汽车。运输部门的经济贡献占欧洲国内生产总值的5%,在美国平均花费4,820.5亿美元。这些数字表明工业城市的迅速崛起,以及从传统城市向智慧城市转变的迫切需要。本文概述了不同的方法和技术,例如智能交通系统(ITS),它利用通信技术来帮助维护道路使用者在驾驶时的安全,并通过优化控制系统来支持自动驾驶。当与精确的人工智能模型相结合时,ITS的作用得到了加强,这些模型用于优化城市规划,分析人群行为和预测交通状况。由于数十亿用户通过使用新技术和在线社交媒体生成的大量移动数据的存在,人工智能驱动的ITS正在成为可能。城市规划的优化提高了车辆的路径选择能力,解决了交通拥堵问题,如本文所讨论的。从生态的角度来看,我们讨论的措施和激励措施,以促进使用的流动性系统。我们还强调政治意愿在促进交通部门开放数据方面的作用,认为这是开发城市变得更健康和更可持续所需的技术解决方案的重要组成部分。
Cities around the world are expanding dramatically, with urban population growth reaching nearly 2.5 billion people in urban areas and road traffic growth exceeding 1.2 billion cars by 2050. The economic contribution of the transport sector represents 5% of the GDP in Europe and costs an average of US $\$ $ 482.05 billion in the United States. These figures indicate the rapid rise of industrial cities and the urgent need to move from traditional cities to smart cities. This article provides a survey of different approaches and technologies such as intelligent transportation systems (ITS) that leverage communication technologies to help maintain road users safe while driving, as well as support autonomous mobility through the optimization of control systems. The role of ITS is strengthened when combined with accurate artificial intelligence models that are built to optimize urban planning, analyze crowd behavior and predict traffic conditions. AI-driven ITS is becoming possible thanks to the existence of a large volume of mobility data generated by billions of users through their use of new technologies and online social media. The optimization of urban planning enhances vehicle routing capabilities and solves traffic congestion problems, as discussed in this paper. From an ecological perspective, we discuss the measures and incentives provided to foster the use of mobility systems. We also underline the role of the political will in promoting open data in the transport sector, considered as an essential ingredient for developing technological solutions necessary for cities to become healthier and more sustainable.