Abstract
Expressway travel time is an important parameter to describe the traffic status, which can accurately reflect the efficiency of expressway traffic. To further simplify the complexity of the travel time prediction method, and improve the prediction accuracy, in this paper, the travel time prediction of the expressway is divided into three cases for discussion. First of all, based on the Greenberg model, under the premise of a comprehensive analysis of the section flow, traffic density, and other factors, to establish different sections under the peak period expressway vehicle travel time prediction model. Finally, the model is verified by taking the expressway around the city as an example. The results shows that the prediction results are always within 10% of the actual measurement error, which shows that compared with the measured data, the error of the model proposed is small, the prediction accuracy is high, within the acceptable range.
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: International Journal of Simulation and Process Modelling
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.
