A Novel Algorithm for predicting road traffic congestion in a IOT based smart city
| Author(s) | : | Suguna Devi, T. Neetha |
| Institution | : | Department of Computer Science & Engineering, , Brilliant Grammer School educational institutions, group of institutions-integrated campus(Faculty of engineering),Hyderabad,India |
| Published In | : | Vol. 4, Issue 13 — January 2017 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Accurate and promptly flow of road traffic information is important for the successful deployment ofintelligent transportation systems. Existing traffic flow prediction methods mainly use Neural Networks and otherprediction models which take presumably more time and need manual intervention due to which they are stillunsatisfying for many real-world applications. So, here, we predict the traffic congestion problem using a novelalgorithm which runs at regular t time intervals and predicts the traffic congestion well before, so that the travelerapproaching a junction can decide which direction to go well in advance.
Suguna Devi, T. Neetha, “A Novel Algorithm for predicting road traffic congestion in a IOT based smart city”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 13, pp. -, January 2017.
