English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The main content of this paper is the prediction algorithm of the time that the campus bus needs to arrive at the position of the passenger. The prediction algorithm uses a method of piecewise prediction. According to the historical average velocity data of each section of route, the residence time of the campus bus on each section is predicted, and then the total time is predicted. The historical average velocity data is updated by the exponential smoothing method, which makes the new data account for a higher proportion of the forecast. Keywords— arrival time prediction; Intelligent Transportation; exponential smoothing method; historical average model

Research on the Prediction Algorithm of the Arrival Time of Campus Bus