Item talk:Q168222

{

 "OpenAlex": {
   "display_name": "Traffic Flow Prediction and Forecasting",
   "description": "This cluster of papers focuses on the application of deep learning, neural networks, and spatio-temporal data analysis for traffic flow prediction and forecasting in urban environments. The research covers topics such as short-term forecasting, graph convolutional networks, time series analysis, and the integration of intelligent transportation systems.",
   "keywords": [
     "Deep Learning",
     "Traffic Flow",
     "Short-Term Forecasting",
     "Spatio-Temporal Data",
     "Neural Networks",
     "Urban Traffic",
     "Graph Convolutional Networks",
     "Time Series Analysis",
     "Intelligent Transportation Systems",
     "Probabilistic Forecasting"
   ],
   "ids": {
     "openalex": "https://openalex.org/T11344",
     "wikipedia": "https://en.wikipedia.org/wiki/Traffic_flow_prediction"
   },
   "subfield": {
     "id": "https://openalex.org/subfields/2215",
     "display_name": "Building and Construction"
   },
   "field": {
     "id": "https://openalex.org/fields/22",
     "display_name": "Engineering"
   },
   "domain": {
     "id": "https://openalex.org/domains/3",
     "display_name": "Physical Sciences"
   },
   "updated_date": "2024-08-12T05:18:46.390785",
   "created_date": "2024-01-23",
   "type": "topic",
   "oa_id": "T11344",
   "id": "https://openalex.org/T11344"
 }

}