CFP last date
22 April 2024
Reseach Article

People as Sensors for Smart City

by Sagar Vaidya, Prathamesh Shingvi, Kamalesh Wankhede, Akshay Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 116 - Number 18
Year of Publication: 2015
Authors: Sagar Vaidya, Prathamesh Shingvi, Kamalesh Wankhede, Akshay Sharma
10.5120/20438-2776

Sagar Vaidya, Prathamesh Shingvi, Kamalesh Wankhede, Akshay Sharma . People as Sensors for Smart City. International Journal of Computer Applications. 116, 18 ( April 2015), 28-31. DOI=10.5120/20438-2776

@article{ 10.5120/20438-2776,
author = { Sagar Vaidya, Prathamesh Shingvi, Kamalesh Wankhede, Akshay Sharma },
title = { People as Sensors for Smart City },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 116 },
number = { 18 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 28-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume116/number18/20438-2776/ },
doi = { 10.5120/20438-2776 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:57:30.840244+05:30
%A Sagar Vaidya
%A Prathamesh Shingvi
%A Kamalesh Wankhede
%A Akshay Sharma
%T People as Sensors for Smart City
%J International Journal of Computer Applications
%@ 0975-8887
%V 116
%N 18
%P 28-31
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A city becomes smart when common problems like traffic and issues related to local governance are successfully dealt with. Today the biggest problem any city faces is the increase in traffic due to increasing population of people and vehicles. Real time data obtained from smartphones as well as data collected over a significant period of time can help us in solving this problem to some extent. A system is proposed which uses people as sensors for solving the common problem of any city which is traffic. People's participation can help in bringing effective changes in local governance. A communication network that spans across an entire city will be built so that people can contribute to the betterment of themselves. The application under consideration is assumed to be built for the local governing body. Hence officials from various departments of the governing body can have direct communication with the common man of a city. This can indirectly prevent malpractices like corruption. Any end user will be able to raise his voice against any grievance he faces which on approval by the system and if well supported by other users, will be notified to the concerned authority with the help of notifications.

References
  1. Luis Sánchez , Ignacio Elicegui, Javier Cuesta, Luis Muñoz and Jorge Lanza, "Integration of Utilities Infrastructures in a Future Internet Enabled Smart City Framework",2013 .
  2. P. E. Hart, N. J. Nilsson, and B. Raphael. A Formal Basis for the Heuristic Determination of Minimum Cost Paths. IEEE Transactions on Systems Science and Cybernetics, Vol. SSC-4, No. 2, pages 100-107, 1968.
  3. Liping Cheng, Chuanxi Liu, Bo Yan, "Improved hierarchical A-star algorithm for optimal path planning of the large parking lot", pages 695-698, July 2014.
  4. M. Halvey, T. Keane, and B. Smyth. Predicting Navigation Patterns on the Mobile-Internet Using Time of the Week. In Proceeding of the 14thinternational conference on World Wide Web, pages 958-959, Chiba, Japan, May 2005.
  5. H. Gonzalez, J. Han, X. Li, M. Myslinska, and J. P. Sondag. Adaptive Fastest Path Computation on a Road Network: A Traffic Mining Approach. In Proceeding of the 14th international conference on Very Large Data Bases, Vienna, Austria, September 2007.
  6. Lu, E. H. -C. ; Chia-Ching Lin; Tseng, V. S. ,"Mining the Shortest Path within a Travel Time Constraint in Road Network Environments",in proceeding of the 11thInternational IEEE Conference on Intelligent Transportation Systems, Tainan, October 2008.
  7. Google directions API–Android Developer https://developers. google. com/maps/documentation/directions.
  8. BagrechaKomal, S. , BramhechaAmit, R. , ChhajedSneha, S. andKhivsara, B. A. , "Android Application using GPS Navigation", Issue of Internationa l Journal of Electronics, Communication and Soft Computing Science and Engineering, Berkeley, vol. 5, pages 84–89, 2012.
  9. A. Prakash and R. Manickavasagam, "Elegant Way of Reaching Destination Using GPS and Drivers Ability", Volume 4, Issue 3, pages 908-911,March 2014.
  10. Xiucheng Yang, Danfeng Liu, Lin Cong, Ligang Liang, "Shortest path algorithm based on distance comparison", pages 3137-3139, July 2014.
  11. ShouChih Lo, Fu Chiand Huang, Chien Chung Wang, "Transport Route Planning for Mobile Tour Applications", pages 387-392, Sept 2014.
  12. Madli, R, Hebbar, S, Pattar, P, GV, P, "Automatic Detection and Notification of Potholes and Humps on Roads to Aid Drivers", Sensors Journal, Volume: PP, Issue: 99, page 1, March 2015.
Index Terms

Computer Science
Information Sciences

Keywords

Global Positioning System Google API's Android Smartphones Shortest path