The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
An Unsupervised Traffic Modelling Framework in IoV Using Orchestration of Road Slicing
Abstract
Presenting better traffic management in urban scenarios has endured as a challenge to reduce the fatality rate. The model developed consolidates an evolving methodology to handle traffic on roads in an abstract way in internet of vehicles (IoV) orchestrated with unsupervised machine learning (USL) techniques. At first, the roads are sliced into segments with roadside units (RSU) that provide vehicle to everything (V2X) communication in a multi-hop manner and examine traffic in real-time. The unique nature of the proposed framework is to introduce USL into the RSU to learn about traffic patterns. The RSU upon learning the traffic patterns applies the Gaussian mixture model (GMM) to observe the variation in the traffic pattern to immediately generate warning alerts and collision forward messages to the vehicles on road. The application of USL and GMM ensures speed control of vehicles with traffic alerts, thereby deteriorating the fatality rates.
Related Content
|
Tanima Sahoo, Arijit Mondal, Piyal Roy, Amitava Podder.
© 2024.
20 pages.
|
|
Hüseyin Fatih Çetinkaya, Ali Fazıl Yenidünya, Serap Çetinkaya, Burak Tüzün.
© 2024.
15 pages.
|
|
Digvijay Pandey, Vinay Kumar Nassa, Binay Kumar Pandey, Blessy Thankachan, Pankaj Dadheech, Darshan A Mahajan, A. Shaji George.
© 2024.
22 pages.
|
|
Loutfy H. Madkour.
© 2024.
38 pages.
|
|
Loutfy H. Madkour.
© 2024.
50 pages.
|
|
Rita Komalasari.
© 2024.
25 pages.
|
|
Aakifa Shahul, Balakumar Muniandi, Mukundan Appadurai Paramashivan, Digvijay Pandey, Binay Kumar Pandey, Pankaj Dadheech, Hovan George.
© 2024.
14 pages.
|
|
|