The invention discloses an urban traffic network path selection behavior prediction method and system based on a language model, a medium and equipment. Based on empirical data, a real path selectionbehavior of a traveler is obtained through a map matching algorithm; after paths are screened, a time sequence of path flow distribution is obtained, the time-varying characteristics of the path flowdistribution is predicted by using the smoothed n-order language model, and the effect is checked. According to the method, global travel behavior information can be provided for travelers, the travelers can conveniently adjust their own paths according to travel behaviors of others, and the purpose of relieving traffic jam is achieved. Compared with a prediction method based on road section flowdistribution, the method can obtain congestion source information.
本发明公开了一种基于语言模型的城市交通网络路径选择行为的预测方法、系统、介质及设备,基于实证数据,通过地图匹配算法得到出行者的真实路径选择行为,在路径筛选后,得到路径流量分布的时间序列,利用平滑处理后的n阶语言模型预测路径流量分布的时变特性并检验效果,本发明能为出行者提供全局出行行为信息,方便出行者根据他人的出行行为调整自身路径,达到缓解交通拥堵的目的。与基于路段流量分布进行预测的方法相比,本发明能够获得拥堵源头信息。
Urban traffic network path selection behavior prediction method and system based on language model, medium and equipment
基于语言模型的城市交通网络路径选择行为的预测方法、系统、介质及设备
2020-08-11
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
Road network traffic control method and device fusing path selection behavior, and storage medium
European Patent Office | 2023
|Urban traffic flow prediction method, system and equipment based on generative adversarial network
European Patent Office | 2023
|Prediction of Urban Traffic Flow Based on Generative Neural Network Model
British Library Conference Proceedings | 2018
|European Patent Office | 2022
|Urban traffic flow prediction method based on generative adversarial network
European Patent Office | 2020
|