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...
title={KDD CUP 2017 Highway Tollgates Traffic Flow Prediction Dataset}, url={https://tianchi.aliyun.com/dataset/dataDetail?dataId=60}, author={Tianchi}, year={2018}, } 如果您发表的论文有使用本数据集,请发邮件到tianchi_open_dataset@alibabacloud.com,回复论文链接,我们工作人员会给您寄送天池数据...
The SZ-taxi dataset was collected in Luohu District, Shenzhen, China, and the traffic speeds at different times on the road were recorded. To Conclusion This study proposed a PKET-GCN structure for traffic flow prediction based on various main prediction models. The internal and external factors...
As a core technology of Intelligent Transportation System, traffic flow prediction has a wide range of applications. The fundamental challenge in traffic flow prediction is to effectively model the complex spatial-temporal dependencies in traffic data. Spatial-temporal Graph Neural Network (GNN) models ...
Journal of Big Data (2022) 9:83 https://doi.org/10.1186/s40537-022-00637-9 RESEARCH Open Access Traffic flow prediction based on depthwise separable convolution fusion network Yue Yu, Wei Sun, Jianhua Liu* and Changfan Zhang *Correspondence: jhliu@hut.edu.cn School of ...
Data Preprocessing: Scripts to clean and prepare the dataset for training. Model Development: A robust LSTM model for time series forecasting. Model Evaluation: Performance metrics to assess prediction accuracy. Web Application: An interactive Streamlit app for traffic flow predictions. Data Sources Hist...
Traffic flow prediction is an important part of an intelligent transportation system to alleviate congestion. In practice, most small and medium-sized activities are not given priority in transport planning, yet these activities often bring about a surge in demand for public transport. It is recogniz...
Traffic flow predictions can be classified into short-term and medium–long-term predictions according to the cycle length. Short-term traffic flow prediction is a significant subject to ensure the construction of smart transportation and the smooth operation of the transportation system. Zhang, Ch...
2.1. Traditional traffic flow prediction models The traditional methods of traffic flow prediction are to aggregate the traffic flow data into a single time series. The core is to extract the changing features and generalize the features to the predicted sequences. Traditional models include traffic ...