Real-time congestion prediction for urban arterials using adaptive data-driven methods

标题
Real-time congestion prediction for urban arterials using adaptive data-driven methods
作者
关键词
Data mining, Congestion prediction, Adaptive K-means cluster, Two-dimensional speed prediction, Intelligent transportation system
出版物
MULTIMEDIA TOOLS AND APPLICATIONS
Volume 75, Issue 24, Pages 17573-17592
出版商
Springer Nature
发表日期
2016-03-30
DOI
10.1007/s11042-016-3474-3

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now