Road State Information Platform Based on Multi-sensors and Bigdata Analysis

Road State Information Platform Based on Multi-sensors and Bigdata Analysis
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基于多传感器和大数据分析的路况信息平台

DOI：
10.1007/978-3-030-33506-9_40
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发表时间：
2019
期刊：
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影响因子：
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通讯作者：
Noriki Uchida
Noriki Uchida
中科院分区：
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文献类型：
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作者：
Y. Shibata;Goshi Sato;Noriki Uchida

文献摘要

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为了保障行车安全，提出了一种基于人群感知和V2X技术的新一代广域路面状态信息平台。在人群感知中，集成了各种环境传感器，包括加速器，陀螺仪传感器，红外温度传感器，准静电传感器，摄像头和GPS，以精确检测各种路面状态，并在GIS上确定危险位置。这些道路信息使用V2X通信网络实时传输到相邻车辆和路边服务器。在实际道路上的V2X通信中，当车辆在道路上行驶时，通信距离的长度和数据传输的总大小必须同时最大化。传统的单一无线通信，如Wi-Fi、IEEE802.11p、LPWA，不能同时满足这些条件。为了解决这一问题，我们提出了一种新的多波长认知无线通信方法。除了当前流行的具有不同波长的局域网之外，还集成了包括IEEE802.11ac/ad/ah/的多个下一代无线局域网以组织认知无线通信。认知无线网络的最佳链路由SDN决定。驾驶员可以从对面的车辆或路边服务器接收路面状态信息，并最终在遇到危险位置之前注意他/她的驾驶。这项技术也可以应用于自动驾驶汽车。
In this paper, in order to keep safe and secure driving, a new generation wide area road surface state information platform based on crowd sensing and V2X Technologies is introduced. In crowd sensing, various environmental sensors including accelerator, gyro sensor, infrared temperature sensor, quasi electrical static sensor, camera and GPS are integrated to precisely detect the various road surface states and determine the dangerous locations on GIS. Those road information are transmitted the neighbor vehicles and road side server in realtime using V2X communication network. In V2X communication on the actual road, both the length of communication distance and the total size of data transmission must be maximized at the same time when vehicle are running on the road. The conventional single wireless communication such as Wi-Fi, IEEE802.11p, LPWA, cannot satisfy those conditions at the same time. In order to resolve such problems, N-wavelength cognitive wireless communication method is newly introduced in our research. Multiple next generation wireless LANS including IEEE802.11ac/ad/ah/in addition to the current popular LANs with different wavelengths are integrated to organize a cognitive wireless communication. The best link of the cognitive wireless is determined by SDN. Driver can receive the road surface status information from the vehicle in opposite direction or road side server and eventually pay attentions to his/her driving before encountering the danger location. This technology can also apply for automatic driving car.