five

Reliable Vehicle to Vehicle Communication Networks: Applications in Fuel-Efficient Platooning

收藏
DataCite Commons2025-12-18 更新2025-04-16 收录
下载链接:
https://purr.purdue.edu/publications/3722/1
下载链接
链接失效反馈
官方服务:
资源简介:
<p>A dataset consisting of testing and simulation data used to develop our models and understanding. Includes field-testing data for loops performed around a singular obstacle and through an urban canyon at selected transmission powers, taking into account 40 dB of attenuation added. Also include the WinProp database and context files used to perform the simulations.</p> <p>This data was acquired from the logs of Cohda Wireless MK5 On-Board Unit (OBU) DSRC radios and Qualcomm Autotalks pre-production CV2X radios. These logs were produced across a series of tests for the two testing scenarios as given above, the singular obstacle blocking LOS in one direction only and the urban canyon blocking LOS on all sides but offering reflection and waveguiding opportunities. In each case, communication was evaluated between radios mounted on two vehicles. A moving vehicle drove in loops around or through the obstacle in question and around a stationary vehicle. Also included are supplementary files which were used with Altair's 'WinProp' Simulation Suite to generate the expected received power from an antenna at the stationary vehicle location to every position in the region of interest.</p> <p>The objective behind collecting this data was to analyze the reliability of the two different communication methods, DSRC and CV2X, under difficult conditions where packet failures would be likely. This allows us to develop models for packet error rate vs simulated received power via the results of simulation of the scenarios in question, even for lost packets which obviously do not have a logged received signal strength indicator (RSSI) because they were lost and therefore not logged. We can use these models to make accurate predictions about the efficacy of communication in untested scenarios, as well as comparing the models against each other to get an idea of how CV2X compares to DSRC as a technology.</p>
提供机构:
Purdue University Research Repository
创建时间:
2021-03-12
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作