The invention relates to a traffic state reconstruction method and system based on sparse microscopic vehicle trajectory data. The method comprises the following steps: extracting trajectory data in a traffic flow through an ngsim data set, and traversing the trajectory data until interruption or missing occurs; constructing a self-adaptive smooth space-time interpolation algorithm, dividing the traffic flow into free traffic and congested traffic based on the self-adaptive smooth space-time interpolation algorithm, and calculating speed fields of the free traffic and the congested traffic; the basis of the adaptive smooth space-time interpolation algorithm for traffic state reconstruction processing is a discrete convolution function; calculating the traffic congestion degree according to the speed fields of the two traffic states; and calculating the average speed of the traffic flow according to the superposition of the speed fields and the traffic congestion degree, predicting the traffic flow information of the traffic flow at different time-space positions through the average speed, and completing traffic state reconstruction processing. According to the method, the accuracy, generalization ability and real-time performance of traffic state prediction are remarkably improved, the calculation amount is reduced, and the calculation efficiency is effectively improved.
本发明涉及一种基于稀疏微观车辆轨迹数据的交通状态重构方法及系统。本发明通过ngsim数据集提取交通流中的轨迹数据,遍历轨迹数据直至出现中断或缺失;构建自适应平滑时空插值算法,基于自适应平滑时空插值算法将交通流划分为包括自由交通与拥堵交通,并计算自由交通和拥堵交通的速度场;自适应平滑时空插值算法进行交通状态重构处理的基础为离散卷积函数;根据两种交通状态的速度场计算交通拥堵程度;根据速度场的叠加和交通拥堵程度计算交通流的平均速度,通过平均速度预测所述交通流在不同时空位置的交通流信息,完成交通状态重构处理。本发明显著提高交通状态预测的准确性、泛化能力和实时性,减少计算量,有效提高计算效率。
Traffic state reconstruction method and system based on sparse microscopic vehicle trajectory data
基于稀疏微观车辆轨迹数据的交通状态重构方法及系统
2024-11-12
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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