Traffic Flow Prediction is the process of using data fusion techniques to forecast traffic density, travel time, and speed in order to enhance routing, dispatching, and congestion management within intelligent transportation systems. AI generated definition based on: Information Fusion, 2023 ...
(LSTM)layers for identifying short-term and long-term dependencies.Our approach may utilize the heterogeneous spatiotemporal correlation features of the traffic flowdataset to deliver better performance traffic flow prediction than existing deep learning models.The research findings show that adding spatio...
1)traffic flow prediction交通流量预测 1.Short-term traffic flow prediction method based on SVM;基于支持向量机方法的短时交通流量预测方法 2.The paper discusses and researches several methods of traffic flow prediction in the history at home and abroad considering the feature of traffic flow.公路交通...
To this end, we propose a novel Propagation Delay-aware dynamic long-range transFormer, namely PDFormer, for accurate traffic flow prediction. Specifically, we design a spatial self-attention module to capture the dynamic spatial dependencies. Then, two graph masking matrices are introduced to high...
This repository includes our works on Graph representation learning and its application on Traffic Flow Prediction. The ideas behind our works can be abstracted and demonstrated in the following big picture. All works can be deduced, inspired and created from this picture. ...
论文:Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction GitHub:https://github.com/Echo-Ji/ST-SSL AAAI 2023的论文,开始吧。 (提示:下文的交通级、交通流量级、流量级,傻傻分不清楚,反正是翻译的锅,大体意思就是交通流量上的操作) ...
The Intelligent Traffic Flow Prediction System leverages deep learning techniques to predict traffic flow in urban environments. By analyzing historical traffic data and weather conditions, the system helps in optimizing traffic management, reducing congestion, and promoting sustainable mobility. Table of Con...
To improve the prediction accuracy of traffic flow under the influence of nearby time traffic flow disturbance, a dynamic spatiotemporal graph attention network traffic flow prediction model based on the attention mechanism was proposed. Considering the macroscopic periodic characteristics of traffic flow,...
intelligent transportation system;smart city;traffic flow prediction;traffic light;machine-learning;deep-learning;recurrent neural network;artificial intelligence;regression algorithms;ITS 1. Introduction Nowadays, the accelerated growth of the population and, consequently, the number of vehicles in the cities...
The paper discusses and researches several methods oftraffic flow predictionin the history at home and abroad considering the feature of traffic flow. 公路交通流量预测的主要内容是依据主要道路交叉路口和断面的交通流量信息,利用适当的方法进行实时动态预测,为给出行者提供最佳行驶路线、为均衡交通流、优化交通管...