Abstract
Traffic congestion is one of the major issues in urban areas. To mitigate this problem a centralized and personalized traffic control system is essential. This paper proposes a cloud-enabled real-time congestion free vehicular path planning system using Vehicular Ad-hoc Networks (VANETs). In this work, a novel algorithm has been proposed for finding the fastest (i.e., less density) congestion free path using real-time traffic information. This algorithm also predicts the future road traffic density and takes into account in order to find the near future congestion free path. This algorithm can be made available as Software as a Service (SaaS) on the cloud.
| Original language | English |
|---|---|
| Pages (from-to) | 3674-3678 |
| Number of pages | 5 |
| Journal | Advanced Science Letters |
| Volume | 23 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 01-01-2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities
All Science Journal Classification (ASJC) codes
- General Computer Science
- Health(social science)
- General Mathematics
- Education
- General Environmental Science
- General Engineering
- General Energy
Fingerprint
Dive into the research topics of 'Congestion free vehicular path planning system: A real-time cloud-enabled ITS application'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver