Realtime Road State Decision System Based on Multiple Sensors and AI Technologies
Realtime Road State Decision System Based on Multiple Sensors and AI Technologies
复制标题
基于多传感器和人工智能技术的实时路况决策系统
DOI：
10.1007/978-3-030-22354-0_11
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Noriki Uchida
中科院分区：
文献类型：
--
作者：
Y. Shibata;Akira Sakuraba;Goshi Sato;Noriki Uchida
本文介绍了一种基于各类环境传感器的城乡道路状态实时决策系统。这些传感器安装在车辆上，并在沿着街道行驶时收集各种路面状况的传感器数据。根据采集到的传感器数据，由传感器服务器决定路面状态，如干、湿、雪、结冰等。确定的道路状态可以通过V2 V和V2I通信协议与许多车辆共享。本文介绍了道路状态实时监测系统的组成和决策方法。利用所提出的系统对原型进行了性能评估，以验证所提出方法的效果。
This paper introduces a realtime road state decision system in both urban and country roads based on various typed environmental sensors. Those sensors are installed on the vehicle and collects the sensor data with various road surfaces conditions while running along the street. From the collected sensor data, the road surface states are decided such as dry, wet, snowy, icy by sensor server. The decided road states can be share with the many vehicles through V2 V and V2I communication protocols. In this paper, the system configuration and decision method of road state conditions in realtime are introduced. Performance evaluation of the prototype with the proposed system is carried out to verify the effect of our suggest method.