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Intelligent Decision Making Real-Time Automated System for Toll Payments

  • Aditya Vikram AgarwalEmail author
  • Navneet Verma
  • Sanjeev Kumar
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 34)

Abstract

Automation is a major concern in the modern age with an increasing number of cases related to traffic jams, caused due to the lack of proper traffic management, contributing to various problems directly and indirectly. Internet of Things can potentially minimize this chaos. We can use sensors, along with some processing devices and algorithms, to minimize human efforts in regulating traffic and to definitively smoothen and fasten vehicle flow on roads. Tollbooths on highways can be automated with the help of Internet of Things and digital payment mode which will reduce, or even remove, the long toll payment queues for vehicles, can be introduced. We, in this paper, present an implementation of Internet of Things, using infrared light sensors, cameras, and image processing algorithms to develop such vehicle detection systems according to their types (heavy vehicles, small vehicles, and the like), in coherence with a database to automate tollbooth processing.

Keywords

Internet of Things Genetic Algorithm Real-time systems Databases Image processing Automation Intelligent decision making Infrared light sensors 

References

  1. 1.
    Gaur, A., Scotney, B., Parr, G., McClean, S.: Smart city Architecture and its applications based on IoT. In: The 5th International Symposium on Internet of Ubiquitous and Pervasive Things, vol. 52, pp. 1089–1094 (2015)CrossRefGoogle Scholar
  2. 2.
    Tiwari, V., Thakur, R.S.: Improving knowledge availability of forensic intelligence through forensic pattern warehouse (FPW). In: Encyclopedia of Information Science and Technology, 3rd edn, pp. 1326–1335. IGI Global (2015)Google Scholar
  3. 3.
    Spiess, P., Karnouskos, S., Guinard, D., Savio, D., Baecker, O., Souza, L., et al.: SOA-based integration of the internet of things in enterprise services. In: Proceedings of the IEEE 7th International Conference on Web Services (ICWS), pp. 968–975 (2009)Google Scholar
  4. 4.
    Bagula, A., Castelli, L., Zennaro, M.: On the design of smart parking networks in the smart cities: an optimal sensor placement model. Sens. Smart Cities 15(7), 15443–15467 (2015)Google Scholar
  5. 5.
    Yin, Y., Dalin, J.: Research and application on intelligent parking solution based on internet of things. In: 5th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), pp. 101–105 (2013)Google Scholar
  6. 6.
    Chen, M.S., Gonzalez, S., Zhang, Q., Victor Leung, C.M.: Code-centric RFID system based on software agent intelligence. IEEE Intell. Syst. 25(2), 12–19 (2010)CrossRefGoogle Scholar
  7. 7.
    Stankovic, J.A.: Research Directions for the internet of things. IEEE Internet Things J. 1(1), 3–9 (2014)CrossRefGoogle Scholar
  8. 8.
    Atzori, L., Iera, A.G., Morabito, G.: The Internet of Things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)CrossRefGoogle Scholar
  9. 9.
    Ashton, K.: That “Internet of Things” thing. RFiD J. 22, 97–114 (2009)Google Scholar
  10. 10.
    Bhadra, S., Kundu, A., Guha, S.K.: An agent based efficient traffic framework using fuzzy. In: Fourth International Conference on Advanced Computing & Communication Technologies, pp. 464–470 (2014)Google Scholar
  11. 11.
    Joo, D.Y., Kim, J.K.: Creative & active convergence model of IoT. Korea Institute for Industrial Economics & Trade, Korea (2014)Google Scholar
  12. 12.
    Libelium Communications Distributed as S.L.: 50 sensor applications for a smarter world (2014)Google Scholar
  13. 13.
    Miorandi, D., Sicari, S., De Pellegrini, F., Chlamtac, I.: Internet of things: vision, applications and research challenges. Ad Hoc Netw. 10(7), 1497–1516 (2012)CrossRefGoogle Scholar
  14. 14.
    Domingo, M.C.: An overview of the Internet of Things for people with disabilities. J. Netw. Comput. Appl. 35(2), 584–596 (2012)CrossRefGoogle Scholar
  15. 15.
    Lόpez, T.S., Ranasinghe, D.C., Harrison, M., Duncan McFarlane.: Adding sense to the Internet of Things—an architecture framework for smart object systems. Pers. Ubiquit. Comput. 16(3), 291–308 (2012)Google Scholar
  16. 16.
    Goumopoulos, C., Kameas, A., Hellas, P.: Smart objects as components of UbiComp applications. Int. J. Multimedia Ubiquit. Eng. 4(3), 1–20 (2009)Google Scholar
  17. 17.
    Shiwani, S., Purohit, G.N.: IPv4 compared to IPv6 networks for recital analysis in omnet++ environment. Global J. Comput. Sci. Technol. 13(11), 28–40 (2013)Google Scholar
  18. 18.
    Gupta, P., Shiwani, S.: Recital investigation of Ipv4 and Ipv6 using wired networks in omnet++. Int. J. Commun. Comput. Technol. 1(5), 167–171 (2013)CrossRefGoogle Scholar
  19. 19.
    Fortino, G., Guerrieri, A., Russo, W., Savaglio, C.: Integration of agent-based and cloud computing for the smart objects-oriented IoT. In: Proceedings of the 18th International Conference on Computer Supported Cooperative Work in Design, pp. 493–498 (2014)Google Scholar
  20. 20.
    Jara, A.J., Varakliotis, S., Skarmeta, A.F., Kirstein, P.: Extending the Internet of Things to the Future Internet through IPv6 support. Mobile Inf. Syst. 10(1), 3–17 (2014)CrossRefGoogle Scholar
  21. 21.
    Nakamiti, G., Silva, V.E., Ventura, J.H., Goncalves, J.M.: An agent-based simulation system for traffic control in the Brazilian intelligent cities project context. In: Proceedings of the 2012 Symposium on Agent Direct Simulation, Article No. 3 (2012)Google Scholar
  22. 22.
    Chen, B., Cheng, H.H., Palen, J.: Integrating mobile agent technology with multi-agent systems for distributed traffic detection and management systems. Transp. Res. Part C: Emerg. Technol. 17(1), 1–10 (2009)CrossRefGoogle Scholar
  23. 23.
    Karthikeyan, T., Sujatha, S.: Optimization of traffic system using TCL algorithm through FMSA and IMAC agents. Int. J. Adv. Res. Comput. Eng. Technol. 1(6), 56–61 (2012)Google Scholar
  24. 24.
    Guillemin, P., Friess, P.: Internet of things strategic research roadmap. The Cluster of European Research Projects, Tech. Rep. (2009)Google Scholar
  25. 25.
    Singh, D., Tripathi, G., Jara, A.J.: A survey of Internet-of-Things: future vision, architecture, challenges and services. IEEE World Forum Internet Things 1, 287–292 (2014)Google Scholar
  26. 26.
    Bandyopadhyay, D., Sen, J.: Internet of things: applications and challenges in technology and standardization. Int. J. Wirel. Pers. Commun. 58(1), 49–69 (2011)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Aditya Vikram Agarwal
    • 1
    Email author
  • Navneet Verma
    • 1
  • Sanjeev Kumar
    • 1
  1. 1.Department of Computer Science, School of Engineering and TechnologyJaipur National UniversityJaipurIndia

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