de Souza Allan M, Maia Guilherme, Braun Torsten, Villas Leandro A
Institute of Computing, University of Campinas, Campinas 13083-852, Brazil.
Institute of Computer Science, University of Bern, 3012 Bern, Switzerland.
Sensors (Basel). 2019 May 20;19(10):2325. doi: 10.3390/s19102325.
Traffic management systems (TMS) are the key for dealing with mobility issues. Moreover, 5G and vehicular networking are expected to play an important role in supporting TMSs for providing a smarter, safer and faster transportation. In this way, several infrastructure-based TMSs have been proposed to improve vehicular traffic mobility. However, in massively connected and multi-service smart city scenarios, infrastructure-based systems can experience low delivery ratios and high latency due to packet congestion in backhaul links on ultra-dense cells with high data traffic demand. In this sense, we propose I am not interested in it (IAN3I), an interest-based approach for reducing network contention and even avoid infrastructure dependence in TMS. IAN3I enables a fully-distributed traffic management and an opportunistic content sharing approach in which vehicles are responsible for storing and delivering traffic information only to vehicles interested in it. Simulation results under a realistic scenario have shown that, when compared to state-of-the-art approaches, IAN3I decreases the number of transmitted messages, packet collisions and latency in up to 95 % , 98 % and 55 % respectively while dealing with traffic efficiency properly, not affecting traffic management performance at all.
交通管理系统（TMS）是解决交通流动性问题的关键。此外，预计5G和车辆网络将在支持TMS以提供更智能、更安全和更快的交通方面发挥重要作用。通过这种方式，已经提出了几种基于基础设施的TMS来改善车辆交通流动性。然而，在大规模连接和多服务的智慧城市场景中，由于超密集小区中具有高数据流量需求的回程链路中的数据包拥塞，基于基础设施的系统可能会出现低交付率和高延迟。从这个意义上说，我们提出了“我对此不感兴趣”（IAN3I），这是一种基于兴趣的方法，用于减少网络争用，甚至避免TMS对基础设施的依赖。IAN3I实现了一种完全分布式的交通管理和机会性内容共享方法，其中车辆仅负责将交通信息存储并传递给感兴趣的车辆。现实场景下的仿真结果表明，与现有方法相比，IAN3I在妥善处理交通效率的同时，分别将传输消息数量、数据包冲突和延迟降低了高达95%、98%和55%，且完全不影响交通管理性能。
