Travel Route Prediction Using Travel Habits and Real-Time Traffic Condition

Wanguo Mu
2020 IOP Conference Series: Materials Science and Engineering  
The traffic problems of cities at home and abroad, especially major cities, have become focus issues. To solve this problem, traffic guidance is one of the most important solutions. For traffic guidance, precisely prediction of travel route of the users becomes one more and more urgent issue. To find out which factor affects the prediction mostly or to propose one efficient route prediction algorithm is attracting more researchers' attentions. In this paper, we proposed one route prediction
more » ... oute prediction model to deal with the problem by considering both travel habits and real-time traffic condition. By embedding LSTM model, the proposed approach has the ability of predict sequence data to predict the travel route. Also the logistical model is introduced to embedding the real-time traffic condition data into the proposed model. Experiment results have evaluated the performance of the proposed approach.
doi:10.1088/1757-899x/719/1/012061 fatcat:lcqhdofmeve33ljrjzzrkxjpxa