面向车联网的交通流参数检测

将RFID技术应用到交通流检测中是交通检测的新趋势。基于RFID的车联网进行讨论,分析及解决其设计参数选取、系统结构设计和邻道干扰等问题。对如何检测交通流的空间密集度(Density)、交通量(Trafficvolume)、空间平均速度(Space mean speed)、选择概率(Selection Probability)、道路通行时间(Road Travel Time)和道路延误时间(Road Delay Time)等参数进行分析,指出因引入RFID技术,使得以往不可准确检测的道路通行时间和道路延误时间及新提出的选择概率成为可测参数,并给出具体计算方式。通过仿真实验验证了检测方式的正确性和可行性,为进一步研究车联网提供了充分的理论基础。

Detection model of traffic flow parameters oriented Internet of vehicles

RFID technology will be applied to the detection of traffic flow.This paper introduces the theory and the structure of the Internet of vehicles which uses RFID technology,analyzes the parameter selection problems,system design problems and adjacent channel interference problems,proposes the corresponding solutions as well.This paper gives the detection model based on set theory.This paper analyzes how to detect the density,traffic volume,space mean speed,selection probability,road travel time and road delay time.Because of the RFID technology,road travel time,road delay time and selection probability which is newly proposed turn into measurable parameters.This paper provides the detection models and formulas of these parameters as well.This paper designs two simulation experiments to test and verity the correctness and the feasibility of the detection models.This paper provides a sufficient theory of Internet of vehicles.