Forecasting Traffic Congestion and Traffic Reduction using Big Data Analytics
Chetana Tukkoji1, Shreyas K. S2, Arun N.K3, R. Venkatrami Reddy4, K. S Harshavardhan5
1Dr. Chetana Tukkoji*, Assistant Professor, Dept. of CSE, GITAM School of Technology-Bengaluru
2Shreyas K. S, Final Year B. Tech Students, Dept. of CSE, GITAM School of Technology-Bengaluru
3Arun N. K, Final Year B. Tech Students, Dept. of CSE, GITAM School of Technology-Bengaluru
4R.Venkatrami Reddy, Final Year B. Tech Students, Dept. of CSE, GITAM School of Technology-Bengaluru
5K.S Harshavardhan, Final Year B. Tech Students, Dept. of CSE, GITAM School of Technology-Bengaluru
Manuscript received on February 10, 2020. | Revised Manuscript received on February 22, 2020. | Manuscript published on March 10, 2020. | PP: 787-790 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2280039520/2020©BEIESP | DOI: 10.35940/ijitee.E2280.039520
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: TTraffic Jam has been one of the worst problems in the Country. Traffic Jams are leading consumption of enormous amount of Time, Energy and Money. Even though various traffic avoiding techniques are implemented, we are not able to reduce the traffic due to growing intensity of vehicles. Hence, there is a requirement for alternate method to overcome this traffic congestion. In this paper, we are implementing a separate lane for public transport by allotting a separate lane for them and to monitor the traffic we are using Artificial Number Plate Recognition camera which can capture the vehicles number plates and can store in database which can also be used as Real Time monitoring of traffic. The public will also be notified by sending them a message to use public transport so that they can save their time and money.
Keywords: ANPR, Bigdata, Congestion.
Scope of the Article: Network Traffic Characterization and Measurements.