Improved Prediction Density Measuring Technique of Traffic in India using Poisson Distribution

Authors(2) :-Anshul Mahajan, Ashima Sood

In present time, technology world move faster day by day and Intelligent Transportation System (ITS) work as a new technology as well as improving technology which is used for transportation. Our work is to resolve the problem that comes in day to day life related to Vehicles. We made a technique which helps us to avoid congestion and route changing and also used sensors for V2V (Vehicle to Vehicle) communication and V2I (Vehicle to infrastructure) communication. This Density Measuring proposed technique helpful for Calculating number of vehicles, routes, intersections, junction, speed of a particular vehicle, average speed of the vehicles on the same lane, in which vehicle on the map of five cities at a particular instance of time has been estimated. After estimation of traffic vehicle on the road, the prediction of that Traffic on the roads has been done. For generation of values Simulation of Urban Mobility (SUMO) simulator is used. The computed values have been used for estimating the density of vehicles for different cities based on different road side scenarios. For random generation of vehicles Poisson distribution has been used and the obtained values have been evaluated to compare the densities of vehicles for these five cities. Finally the realistic comparison between the densities of roads on different cities has been done.

Authors and Affiliations

Anshul Mahajan
Rajouri, J&K, India
Ashima Sood
Bilaspur, Himachal Pradesh, India

ITS; V2V; Density Estimation; Poisson distribution; SUMO simulator; Linear Regression.

  1. Sabih ur Rehman, M. Arif Khan, Tanveer A. Zia, Lihong Zhengørper. “Vehicular Ad-Hoc Networks (VANETs) - An Overview and Challenges”. In School of Computing and Mathematics, Charles Sturt University, Australia, Journal of Wireless Networking and Communications 3 (3): pp. 29-38, 2013.
  2. Ruixue Mao, Student Member, IEEE, and Guoqiang Mao, Senior Member, IEEE, “Road Traffic Density Estimation in Vehicular Networks”, in Communications and Networking Conference (WCNC), IEEE, pp.4653-4658, 2013.
  3. Hongzi Zhu, Luoyi Fu, Guangtao Xue, Yanmin Zhu, Minglu Li, Lionel M. Ni, “Recognizing Exponential Inter-Contact Time in VANETs”, in Mini-Conference at IEEE INFOCOM, 2010.
  4. Andreas Buchenscheit, Florian Schaub, Frank Kargl, and Michael Weber, “A VANET-based Emergency Vehicle Warning System”, in Virtual Network Computing(VNC) conference, in IEEE, 2009.
  5. Zongjian He, Jiannong Cao, Tao Li, “MICE: A Real-time Traffic Estimation based Vehicular Path Planning Solution using VANETs”, at IEEE, 2012.
  6. Sooksan Panichpapiboon, Member, IEEE, and Wasan Pattara-atikom, Member, IEEE, “Exploiting Wireless Communication in Vehicle Density Estimation”, IEEE transaction on vehicular technologyVol 60, No 6, July 2011.
  7. K.Venkateswara Rao and Mohamed Ahmed Ali, “SURVEY ON BIG DATA AND APPLICATIONS OF REAL TIME BIG DATA ANALYTICS”, International Journal of Computer Engineering and Applications, Volume IX, Issue VIII, August 2015, ISSN 2321-3469.
  8. B.Tulasi, “Significance of Big Data and Analytics in Higher Education”, International Journal of Computer Applications, Volume 68– No.14, April 2013, ISSN No.0975 – 8887.
  9. G.Shyam Prasad, Sudheer Kumar Battula, CH. Divya Sruthi, A. Shruthi, P.Bhagavathi and P.Akhila, “Weather Damage Prophecy using Big-Data Analytics”, International Journal of Advanced Research in Computer Science, Volume 5, No. 4, April 2014, ISSN No. 0976-5697.
  10. Hongzi Zhu, Luoyi Fu, Gyangtao Xue, Yanmin Zhu, Minglu Li and Lionel M.Ni, “Recognizing Exponential Inter-Contact Time in VANETs”, Mini-Conference at IEEE INFOCOM 2010.
  11. Fengzhong Qu, Fei-Yue Wang, Liuqing Yang, “Intelligent Transportation Spaces: Vehicles, Traffic, Communications, and Beyond”, IEEE Communications Magazine, November 2010.
  12. Kumar Neeraj, Jaskaran Preet Singh, Rasmeet S. Bali, Sudip Misra, and Sana Ullah, “An intelligent clustering scheme for distributed intrusion detection in vehicular cloud computing.” Cluster Computing 18, no. 3 (2015): 1263-1283.

Publication Details

Published in : Volume 4 | Issue 1 | March-April 2018
Date of Publication : 2018-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 98-105
Manuscript Number : CSEIT411816
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Anshul Mahajan, Ashima Sood, "Improved Prediction Density Measuring Technique of Traffic in India using Poisson Distribution", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 1, pp.98-105, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT411816

Article Preview

Follow Us

Contact Us