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Congestion Based Mechanism for Route Discovery in a V2I-V2V System Applying Smart Devices and IoT

机译:应用智能设备和物联网的V2I-V2V系统中基于拥塞的路由发现机制

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摘要

The Internet of Things is a new paradigm in which objects in a specific context can be integrated into traditional communication networks to actively participate in solving a determined problem. The Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) technologies are specific cases of IoT and key enablers for Intelligent Transportation Systems (ITS). V2V and V2I have been widely used to solve different problems associated with transportation in cities, in which the most important is traffic congestion. A high percentage of congestion is usually presented by the inappropriate use of resources in vehicular infrastructure. In addition, the integration of traffic congestion in decision making for vehicular traffic is a challenge due to its high dynamic behavior. In this paper, an optimization model over the load balancing in the congestion percentage of the streets is formulated. Later, we explore a fully congestion-oriented route discovery mechanism and we make a proposal on the communication infrastructure that should support it based on V2I and V2V communication. The mechanism is also compared with a modified Dijkstra’s approach that reacts at congestion states. Finally, we compare the results of the efficiency of the vehicle’s trip with the efficiency in the use of the capacity of the vehicular network.
机译:物联网是一种新的范例,其中可以将特定上下文中的对象集成到传统的通信网络中,以积极参与解决已确定的问题。车对车(V2V)和车对基础设施(V2I)技术是IoT的特殊情况,也是智能交通系统(ITS)的关键推动力。 V2V和V2I已被广泛用于解决与城市交通相关的各种问题,其中最重要的是交通拥堵。通常,车辆基础设施中对资源的不当使用会造成很大比例的拥堵。另外,由于交通拥堵的高动态行为,在交通决策中整合交通拥堵也是一个挑战。本文提出了一种基于街道拥堵率的负载均衡优化模型。后来,我们探索了一种完全面向拥塞的路由发现机制,并针对基于V2I和V2V通信的通信基础设施提出了建议。该机制也与改良的Dijkstra的方法进行了比较,后者在拥塞状态下会做出反应。最后,我们将车辆出行效率与车辆网络容量使用效率的结果进行了比较。

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