The invention provides a non-networked vehicle position estimation method in an intelligent networked environment, and belongs to the technical field of intelligent networked traffic vehicle positionperception, and the method comprises the following steps: (1) obtaining the traffic flow data of a non-networked-networked following vehicle centering networked vehicle on an expressway in a T time period, wherein the non-networked vehicle is a followed vehicle, and the networked vehicle is a followed vehicle, and the traffic flow data comprises speed and acceleration data and a vehicle number; (2) preprocessing the speed and acceleration data of the networked vehicle; (3) estimating the speed of the non-networked vehicle by utilizing the speed and acceleration data of the networked vehicle based on the BP neural network; and (4) solving the position of the non-networked vehicle based on a calibrated car-following model. According to the method, the position of the non-networked vehicle followed by the networked vehicle is estimated by utilizing the intelligent networked vehicle data, so that the method has important significance for sensing the position data of the non-networked vehicle on the expressway, and a powerful technical support is provided for improving the active management level of the expressway.
本发明提供了一种智能网联环境下非网联车辆位置估计方法,属于智能网联交通车辆位置感知技术领域,包括以下步骤:(1)获取高速公路上非网联‑网联跟驰车对中网联车辆在T时间段内的交通流数据;其中,非网联车为被跟驰车辆,网联车为跟驰车辆;所述交通流数据包括速度、加速度数据以及车辆编号;(2)对网联车辆的速度和加速度数据进行预处理;(3)基于BP神经网络利用网联车辆的速度和加速度数据估计非网联车辆的速度;(4)基于标定好的跟驰模型求解非网联车辆的位置。本发明利用智能网联车辆数据估计被网联车辆跟驰的非网联车辆位置,对高速公路非网联车辆位置数据感知具有重要意义,为提升高速公路主动管理水平提供了有力的技术支撑。
Non-networked vehicle position estimation method in intelligent networked environment
一种智能网联环境下非网联车位置估计方法
2020-07-24
Patent
Electronic Resource
Chinese
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