Abstract
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 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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
