HIGHLIGHTS
- who: Ofem Ajah Ofem and colleagues from the University of Calabar, Nigeria have published the research: DOI: 10.4018/IJSI.315660 *Corresponding Author, in the Journal: (JOURNAL)
- what: In this study a timely arrival recommender system (TARS) using Viterbi and hidden Markov Model (HMM) was developed. This study demonstrated the validity and rationality of the model as results showed that prediction accuracy can reach 83.4%, which is 5.8% higher than that of the autoregressive moving average model. The model focused more on congestion prediction than on recommending alternative routes and early time of . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.