The construction of a sustainable transport network for people or goods will gain and harm mobility depending on their nature and implementation, using new technology and business models. The regular mobile handoff and replacement of connections allow the efficient mobility management of asynchronous wireless transfer mode (ATM) networks. Hence, the design of the broad spectrum usability network architecture for public ATM systems has been given considerable attention in the literature. Since it has been done on the critical subject of estimating user mobility and the prediction, which aims to improve communication efficiency and the bandwidth efficiency of the underlying system architecture, this article addresses the problem by developing the impact of hierarchical framework of service on transportation and traffic pattern (HFSTTP). The growth in mobile Internet and the use of mobile devices over the last decade allowed for omnipresent information on traffic. With the growing use of unique mobile apps, the number of routing users has evolved to be sufficiently large to interrupt the traffic flow pattern. Modern carriage systems and urban logistics improve the efficiency of the transport of goods and slow down the use of road infrastructure. Numerical examples of vehicle traffic include proof of ties between the network traffic and the routing decision-making layer. The partnership between a cooperative control layer and a lower control layer to optimize freight transport is a second example. The congestion price in all over the world shows how to incorporate the social plan layer in future mobility services.

中文翻译：

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智慧城市信息处理物联网云平台

使用新技术和商业模式为人员或货物构建可持续的运输网络将根据其性质和实施情况来获得和损害流动性。定期移动切换和连接替换允许对异步无线传输模式 (ATM) 网络进行有效的移动管理。因此，公共 ATM 系统的广谱可用性网络架构的设计在文献中得到了相当大的关注。由于它已经完成了估计用户移动性和预测的关键主题，旨在提高底层系统架构的通信效率和带宽效率，因此本文通过开发分层服务框架对交通和交通的影响来解决这个问题。流量模式 (HFSTTP)。过去十年移动互联网的发展和移动设备的使用使得交通信息无处不在。随着独特的移动应用程序的使用越来越多，路由用户的数量已经发展到足以中断交通流模式。现代运输系统和城市物流提高了货物运输效率并减缓了道路基础设施的使用。车辆流量的数值示例包括网络流量和路由决策层之间关系的证明。合作控制层和较低控制层之间的合作伙伴关系以优化货运是第二个例子。世界各地的拥堵价格显示了如何将社会计划层纳入未来的出行服务。