Provided is a method of predicting traffic events based on a spatio-temporal Hawkes process, which includes the following steps: step 1: collecting historical spatio-temporal data of all types of traffic events; step 2: establishing a spatio-temporal Hawkes process model, which can describe a correlation and probability intensity of the spatio-temporal data; step 3: estimating parameters of the spatio-temporal Hawkes process model by training the spatio-temporal data; step 4: using the trained model to predict traffic events. The technical scheme can use the spatio-temporal Hawkes process model to effectively solve the problems and challenges faced by the existing method of predicting traffic events, effectively capture the spatio-temporal correlation and accurately predict the occurrence of traffic events based on the spatio-temporal data.
METHOD OF PREDICTING TRAFFIC EVENTS BASED ON SPATIO-TEMPORAL HAWKES PROCESS
2025-05-22
Patent
Electronic Resource
English
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
Predicting Multiple Traffic Features using a Spatio-Temporal Neural Network Architecture
TIBKAT | 2022
|Traffic state prediction method based on adaptive spatio-temporal information
European Patent Office | 2024
|MLP for Spatio-Temporal Traffic Volume Forecasting
IEEE | 2021
|