An overview of traffic congestion detection and classification techniques in VANET
Vehicular traffic congestion has been and still is a major problem for many countries and knowledge about the traffic condition is important in order to schedule, plan and avoid traffic congestion. With recent development in technology, various efforts and methods are proposed in mitigating traffic...
Saved in:
Main Authors: | Idura Ramli, Nurshahrily (Author), Mohamed Rawi, Mohd Izani (Author) |
---|---|
Other Authors: | Institute of Research Management and Innovation (IRMI) (Contributor) |
Format: | EJournal Article |
Published: |
Institute of Advanced Engineering and Science,
2020-10-01.
|
Subjects: | |
Online Access: | Get fulltext |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Traffic congestion detection in a city using clustering techniques in VANETs
by: Mohanty, Anita, et al.
Published: (2019) -
Analysing Vehicular Congestion Scenario in Kuala Lumpur Using Open Traffic
by: Ali, Muhammad, et al.
Published: (2018) -
Classification of ECG signals for detection of arrhythmia and congestive heart failure based on continuous wavelet transform and deep neural networks
by: Olanrewaju, Rashidah Funke, et al.
Published: (2021) -
VANETs and Internet of Things (IoT): A Discussion
by: Mohamed Hatim, Shahirah, et al.
Published: (2018) -
Investigating Thermal Comfort for the Classroom Environment using IoT
by: Idura Ramli, Nurshahrily, et al.
Published: (2018)