Skip to main content
SpringerLink
Log in

IoT Based Intelligent Transportation System (IoT-ITS) for Global Perspective: A Case Study

  • Chapter
  • First Online:
Internet of Things and Big Data Analytics for Smart Generation

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 154))

Abstract

Big data analytics helps in analyzing a huge set of data whereas IoT is about data, devices and connectivity. Internet of Things (IoT) involves connecting physical objects to the Internet to build smart systems and universal mobile accessibility advanced technologies like Intelligent Transportation System (ITS). IoT solutions are playing a major role in driving the global IoT in Intelligent Transportation System. Communication between vehicles using IoT will be a new era of communication that leads to ITS. IoT is a combination of storing and processing sensor data and computing using data analytics to achieve and assist in managing the Traffic system effectively. IoT based Intelligent transportation system (IoT-ITS) helps in automating railways, roadways, airways and marine which enhance customer experience about the way goods are transported, tracked and delivered. A case study on Intelligent Traffic Management System based on IoT and big data, which will be a part of, smart traffic solutions for smarter cities. The ITS-IoT system itself forms an eco-system comprising of sensor systems, monitoring system and display system. There are several techniques and algorithms involved in full functioning of IoT-ITS. The proposed case study will examine and explain a complete design and implementation of a typical IoT-ITS system for a smart city scenario set on typical Indian subcontinent. This case study will also explain about several hardware and software components associated with the system. How concepts like Multiple regression analysis, Multiple discriminant analysis and logistic regression, Cojoint analysis, Cluster analysis and other big data analytics techniques will merge with IoT and help to build IoT-ITS will also be emphasized. The case study will also display some big data analytics results and how the results are utilized in smart transportation systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Kyriazis, D., Varvarigou, T.: Smart, autonomous and reliable Internet of Things. Procedia Comput. Sci. 21, 442–448 (2013)

    Article  Google Scholar 

  2. Sheng-nan, L., Pei-pei, D., Jian-li, F., Xiao-he, L.: The implementation of intelligent transportation system based on the internet of things. J. Chem. Pharm. Res. 7(3), 1074–1077 (2015)

    Google Scholar 

  3. Sherly, J., Somasundareswari, D.: Internet of things based smart transportation systems. Int. Res. J. Eng. Technol. 2(3), 1207–1210 (2015)

    Google Scholar 

  4. Aceves, S.M., Paddack, E.E.: Developing intelligent transportation systems in an integrated systems analysis environment. World Congress on Intelligent Transportation Systems, pp. 1–10 (2002)

    Google Scholar 

  5. Shandiz, H., Khosravi, M., Doaee, M.: Intelligent transport system based on genetic algorithm. World Appl. Sci. J. 6(7), 908–913 (2009)

    Google Scholar 

  6. William, H., Barry, J., Rolphe, E.: Multivariate Data Analysis. Pearson Publication, pp. 4–761 (2010)

    Google Scholar 

  7. Petracca, M., Pagano, P., Pelliccia, R., Ghibaudi, M., Salvadori, C., Nastasi, C.: On-board unit hardware and software design for vehicular ad-hoc networks. IGI Global, pp. 1–23 (2015)

    Google Scholar 

  8. de la Garza, J.M., Taylor, C.J.E., Sinha, S.K.: An integrated framework and smart algorithm for vehicle localization in intelligent transportation systems, pp. 2–115 (2013)

    Google Scholar 

  9. Bojan, T.M., Kumar, U.R., Bojan, V.M.: An internet of things based intelligent transportation system. In: IEEE International Conference on Vehicular Electronics and Safety, pp. 1–7

    Google Scholar 

  10. Ashokkumar, K., Sam, B., Arshadprabhu, R., Britto.: Cloud based intelligent transport system. Procedia Comput. Sci. 50, 58–63 (2015)

    Google Scholar 

  11. Grob, G.R., Iseo, E.S.: Future transportation with smart grids & sustainable energy. In: Proceedings of the SSD 2009 6th International Multi-Conference on Systems, Signals and Devices, Djerba, Tunisia, pp. 23–2 (2009)

    Google Scholar 

  12. Costa, E.; Seixas, J.: Contribution of electric cars to the mitigation of CO2 emissions in the city of São Paulo. In: Proceedings of the 2014 IEEE Vehicle Power and Propulsion Conference (VPPC), Coimbra, Portugal, pp. 27–30 (2014)

    Google Scholar 

  13. Mehar, S., Zeadally, S., Remy, G., Senouci, S.M.: Sustainable transportation management system for a fleet of electric vehicles. IEEE Trans. Intell. Trans. Syst. 16, 1–14 (2015)

    Article  Google Scholar 

  14. Iturrate, M.; Gurrutxaga, I.; Oses, U.; Calvo, P.M.: Sustainable transport at the university of the basque country in San Sebastian. In: Proceedings of the 2015 4th International Work Conference on Bio inspired Intelligence (IWOBI), San Sebastian, Spain, 10–12 (2015)

    Google Scholar 

  15. Harilakshmi, V.S., Rani, P.A.J.: Intelligent vehicle counter—a road to sustainable development and pollution prevention (P2). In: Proceedings of the 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS), Nagercoil, India, 7–8; pp. 877–880 (2016)

    Google Scholar 

  16. . Fabbri, G., Medaglia, C.M., Ippolito, M., Saraceno, E., Antonucci, M., Fiorentino, L., Bistolfi, M., Cozzolino, P., Gallarate, M.: An innovative system for a clean and sustainable public transport system in smart cities. In: Proceedings of the 2016 IEEE 25th International Symposium on Industrial Electronics (ISIE), Santa Clara, CA, USA, 8–10 June 2016; pp. 974–979 (2016)

    Google Scholar 

  17. Abdalla, A.M., Abaker, M.: A survey on automobile collision avoidance system. Int. J. Recent Trends Eng. Res. 2, 1–6 (2016)

    Google Scholar 

  18. Jurecki, R.S.: An analysis of collision avoidance maneuvers in emergency traffic situations. Arch. Automot. Eng. Arch. Motoryzac. 72, 73–93 (2016)

    Google Scholar 

  19. Desai, S., Desai. S.: Smart vehicle automation. Int. J. Comput. Sci. Mobile Comput. 6(9), 46–50 (2017)

    Google Scholar 

  20. Petrov, T., Dado, M., Ambrosch, K.E.: Computer modelling of cooperative intelligent transportation systems. Procedia Eng. 192, 683–688 (2017)

    Article  Google Scholar 

  21. Agarwal, Y., Jain, K., Karabasoglu, O.: Smart vehicle monitoring and assistance using cloud computing in vehicular Ad Hoc networks. Int. J. Transp. Sci. Technol. 7, 60–73 (2018)

    Article  Google Scholar 

  22. Kyriazisa, D., Varvarigoua, autonomous and reliable Internet of Things.: Smart autonomous and reliable Internet of Things. International Workshop on Communications and Sensor Networks (ComSense), pp 442–448 (2013)

    Google Scholar 

  23. Gaura, A., Scotneya, B., Parra, G., McCleana, S.: Smart city architecture and its applications based on IoT. In: The 5th International Symposium on Internet of Ubiquitous and Pervasive Things (IUPT 2015), vol. 52, pp 1089–1094 (2015)

    Article  Google Scholar 

  24. Angelidou, M.: Smart cities: a conjuncture of four forces. Cities 47, 95–106 (2015)

    Article  Google Scholar 

  25. Sta, H.B.: Quality and the efficiency of data in ‘‘Smart-Cities”. Future Gener. Comput. Syst. 74, 409–416 (2017)

    Article  Google Scholar 

  26. Khajenasiri, I., Estebsari, A., Verhelsta, M., Gielena, G.: A review on Internet of Things solutions for intelligent energy control in buildings for smart city applications. In: 8th International Conference on Sustainability in Energy and Buildings, SEB-16, 11–13 Sept, vol. 111, pp. 770–779 (2017)

    Article  Google Scholar 

  27. Kim, T.-h., Ramos, C., Mohammed, S.: Smart city and IoT. Future Gener. Comput. Syst. 76, 159–162 (2017)

    Article  Google Scholar 

  28. Kummitha, R.K.R., Crutzen, N.: How do we understand smart cities? An evolutionary perspective. Cities 67, 43–52 (2017)

    Article  Google Scholar 

  29. Archenaa, J., Mary Anita, E.A.: A survey of big data analytics in healthcare and government. In: 2nd International Symposium on Big Data and Cloud Computing, vol. 50, pp. 408–413 (2015)

    Article  Google Scholar 

  30. Saravana kumar, N., Eswari, T., Sampath, P., Lavanya, S.: Predictive methodology for diabetic data analysis in big data. In: 2nd International Symposium on Big Data and Cloud Computing, vol. 50, pp. 203–208 (2015)

    Article  Google Scholar 

  31. Anuradha, I.: A brief introduction on BigData 5vs characteristics and Hadoop Technology. In: International Conference on Intelligent Computing, Communication and Convergence, vol. 48, pp. 319–324 (2015)

    Google Scholar 

  32. Oussous, A., Benjelloun, F.-Z., Lahcen, A.A., Belfkih,S.: Big Data technologies: a survey. J. King Saud Univ. Comput. Inf. Sci. (2017)

    Google Scholar 

  33. Wang, Y., Kung, L.A., Byrd, T.A.: Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technol. Forecast. Soc. Change 126, 3–13 (2018)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Information Technology, Thiagarajar College of Engineering, Madurai, India

    S. Muthuramalingam

  2. Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, India

    A. Bharathi

  3. Department of Computer Science and Engineering, PTR College of Engineering and Technology, Assistant Professor, Department of Information Technology, Thiagarajar College of Engineering, Madurai, India

    S. Rakesh kumar & N. Gayathri

  4. Assistant Professor, Department of Information Technology, G.G.R. College of Engineering, Anna University, Chennai, India

    R. Sathiyaraj

  5. School of Computing Science and Engineering, Galgotias University, Greater Noida, India

    B. Balamurugan

Authors
  1. S. Muthuramalingam
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Bharathi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. Rakesh kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. N. Gayathri
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. R. Sathiyaraj
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. B. Balamurugan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to B. Balamurugan .

Editor information

Editors and Affiliations

  1. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

  2. Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, Telangana, India

    Vijender Kumar Solanki

  3. Department of Computer Science and Engineering, LNCT College, Jabalpur, Madhya Pradesh, India

    Raghvendra Kumar

  4. Department of Computer Science and Engineering, Ambedkar Institute of Advance Communication Technologies and Research, Government of NCT Delhi, New Delhi, Delhi, India

    Manju Khari

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Muthuramalingam, S., Bharathi, A., Rakesh kumar, S., Gayathri, N., Sathiyaraj, R., Balamurugan, B. (2019). IoT Based Intelligent Transportation System (IoT-ITS) for Global Perspective: A Case Study. In: Balas, V., Solanki, V., Kumar, R., Khari, M. (eds) Internet of Things and Big Data Analytics for Smart Generation. Intelligent Systems Reference Library, vol 154. Springer, Cham. https://doi.org/10.1007/978-3-030-04203-5_13

Download citation

Publish with us

Policies and ethics

Search

Navigation