FINDING THE TRAFFIC LOCATION NAME IN GOOGLE MAP

Authors

  • Deepa Shree C UG Students, Department of CSE, SET-JU, Bangalore, India
  • Nishchitha R Kasyap UG Students, Department of CSE, SET-JU, Bangalore, India
  • Manjunath C R Associate Professor, Department of CSE, SET-JU, Bangalore, India

DOI:

https://doi.org/10.29121/granthaalayah.v5.i6.2017.1999

Keywords:

Traffic Congestion, Alternate Route, K-Nearest Neighbour

Abstract [English]

Aim of the project is to reduce the traffic congestion at a particular location in peak hours with the help of Google maps. Google maps, one of the widely used user-friendly app which helps an individual to give an alert of traffic congestion in that particular location in which she is actually going. As a result of this, Google maps will suggest an individual to take an alternative route, as the major route is highly affected by traffic jam. This alternative route suggested by Google maps is a faster route without traffic and help to reach an individual to her destination on time without much delay. For an individual, from different places doesn’t have any clue about the city and at which   locations do traffic exists and continue to persist over a long period of time.

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References

Eyad Abdullah, Ahmed Emam. Engineering Student, College of Computer an Information Sciences Ahmed Emam. Traffic Accidents Analyzer Using Big Data. International Conference on Computational Science and Computational Intelligence 2015 DOI: https://doi.org/10.1109/CSCI.2015.187

E. Florido, O. Casta˜no, A. Troncoso, F. Mart´ınez-´Alvarez. Data mining for predicting traffic congestion and its application to Spanish data. IEEE papers 2015 DOI: https://doi.org/10.1007/978-3-319-19719-7_30

Obuhuma, J. I., Moturi, C. International journal of scientific and technology research. volume 1, issue 10. A Use of GPS with Road Mapping For Traffic Analysis. IEEE paper November 2012

Sandeep G. Panchal1, Ravindra S. Apare2 Engineering Student, Smt. Kashibai Navale College of Engineering Pune, Savitribai Phule Pune University, India. A Survey on Traffic Detection from Twitter Tweets Analysis. International Journal of Science and Research 2015

Trisha A. Hauser, William T. Scherer University of Virginia. Data Mining Tools for Real-Time Traffic Signal Decision Support & Maintenance. IEEE paper 2001

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Published

2017-06-30

How to Cite

C, D. S., Kasyap , N. R., & Manjunathc. (2017). FINDING THE TRAFFIC LOCATION NAME IN GOOGLE MAP. International Journal of Research -GRANTHAALAYAH, 5(6), 78–81. https://doi.org/10.29121/granthaalayah.v5.i6.2017.1999