Skip to main content
SpringerLink
Log in

Analytics for Maintenance of Transportation in Smart Cities

  • Chapter
  • First Online:
Quality, IT and Business Operations

Part of the book series: Springer Proceedings in Business and Economics ((SPBE))

Abstract

Cities typically face a wide range of management and maintenance problems. They are complex environments in which digital technologies are more and more pervasive; this digitization of urban environment provided a scope for enriched environment that has capability for data-driven methods. The connections and exchange of data increase and the need for data acquisition, processing, and management become an extremely important added value to the community. The inclusion of digitization and incorporation of predictive analytics provide a base for a sustainable smart city. This work considers an overview of different challenges that utilizes different technologies within a smart city maintenance with respect to transportation. A conceptual framework is proposed to handle the generated data for decision for control, monitoring, fault diagnosis, and maintenance of more and more complex 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
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
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. UN (2014) World’s population increasingly urban with more than half living in urban areas. [Online]: http://www.un.org/en/development/desa/news/population/world-urbanization-prospects-2014.html

  2. Pal K. How Big data helps build smart cities. http://www.kdnuggets.com/2015/10/big-data-smart-cities.html 10th October, 2015

  3. Barton D (2016) 7 Uses For Analytics In Smart Cities. https://channels.theinnovationenterprise.com/articles/158-7-uses-for-analytics-in-smart-cities,

  4. Khan Z, Anjum A, Kiani SL (2013) Cloud based big data analytics for smart future cities. In: Proceedings of the 2013 IEEE/ACM 6th international conference on utility and cloud computing, IEEE Computer Society, pp 381–386

    Google Scholar 

  5. Khan Z, Anjum A, Soomro K, Tahir MA (2015) Towards cloud based big data analytics for smart future cities. J Cloud Comput 4(1):1

    Article  Google Scholar 

  6. Rathore MM, Ahmad A, Paul A, Rho S (2016) Urban planning and building smart cities based on the internet of things using Big Data analytics. Comput Netw 101:63–80

    Article  Google Scholar 

  7. Puiu D, Barnaghi P, Tönjes R, Kümper D, Ali MI, Mileo A, Parreira JX et al (2016) CityPulse: large scale data analytics framework for smart cities. IEEE Access 4:1086–1108

    Article  Google Scholar 

  8. Bradley PE (2015) Supporting data analytics for smart cities: an overview of data models and topology. In: International symposium on statistical learning and data sciences. Springer, Cham, pp 406–413

    Chapter  Google Scholar 

  9. Pendse P (2015) Smart cities and analytics

    Google Scholar 

  10. Ismail A (2016) Utilizing big data analytics as a solution for smart cities. In: 2016 3rd MEC International Conference on Big Data and Smart City (ICBDSC). IEEE, Piscataway, pp 1–5

    Google Scholar 

  11. Behl M, Mangharam R (2016) Interactive analytics for smart cities infrastructures. In: 2016 1st International Workshop on Science of Smart City Operations and Platforms Engineering (SCOPE) in partnership with Global City Teams Challenge (GCTC)(SCOPE-GCTC). IEEE, Piscataway, pp 1–6

    Google Scholar 

  12. Debnath AK, Chin HC, Haque MM, Yuen B (2014) A methodological framework for benchmarking smart transport cities. Cities 37:47–56

    Article  Google Scholar 

  13. Farkas K, Feher G, Benczur A, Sidlo C (2015) Crowdsending based public transport information service in smart cities. IEEE Commun Mag 53(8):158–165

    Article  Google Scholar 

  14. Bakillah M, Liang SHL, Zipf A (2012) Toward coupling sensor data and volunteered geographic information (VGI) with agent-based transport simulation in the context of smart cities. In: Proceedings of the first ACM SIGSPATIAL workshop on sensor web enablement. ACM, New York, pp 17–23

    Chapter  Google Scholar 

  15. Navarro C, Roca-Riu M, Furió S, Estrada M (2016) Designing new models for energy efficiency in urban freight transport for smart cities and its application to the spanish case. Transp Res Procedia 12:314–324

    Article  Google Scholar 

  16. Agarwal PK, Gurjar J, Agarwal AK, Birla R (2015) Application of artificial intelligence for development of intelligent transport system in smart cities. J Int J Trans Eng Traffic Syst 1(1):20–30

    Google Scholar 

  17. Schlingensiepen J, Mehmood R, Nemtanu FC (2015) Framework for an autonomic transport system in smart cities. Cybern Inf Technol 15(5):50–62

    Google Scholar 

  18. Simonis I (2015) Sensing models and sensor network architectures for transport infrastructure monitoring in smart cities. EGU Gen Assembly Conference Abstr 17:9183

    Google Scholar 

  19. Santana Beneyto, Marta Irene (2015) The role of transport in the smart cities

    Google Scholar 

  20. Boulton A, Brunn SD, Devriendt L (2011) Cyberinfrastructures and “smart” world cities: physical, human, and soft infrastructures. In: Taylor P, Derudder B, Hoyler M, Witlox F (eds) International handbook of globalization and world cities. Edward Elgar, Cheltenham. Available from http://www.neogeographies.com/documents/cyberinfra structure_smart_world_cities.pdf

  21. Hollands RG (2008) Will the real smart city please stand up? City 12(3):303–320

    Article  Google Scholar 

  22. Giffinger R, Fertner C, Kramar H, Kalasek R, Pichler-Milanović N, Meijers E (2007) Smart cities: ranking of European medium-sized cities. Centre of Regional Science (SRF), Vienna University of Technology, Vienna

    Google Scholar 

  23. Hall RE (2000) The vision of a smart city. In: Proceedings of the 2nd international life extension technology workshop, Paris, France, September 28. Available from http://www.osti.gov/bridge/servlets/purl/773961-oyxp82/webviewable/773961.pdf

  24. Harrison C, Eckman B, Hamilton R, Hartswick P, Kalagnanam J, Paraszczak J, Williams P (2010) Foundations for smarter cities. IBM J Res Dev 54(4)

    Google Scholar 

  25. Natural Resources Defense Council. What are smarter cities?, Available from http://smartercities.nrdc.org/about

  26. Toppeta D (2010) The Smart City vision: how Innovation and ICT can build smart, “Livable”, sustainable cities. The Innovation Knowledge Foundation. Available from phttp://www.thinkinnovation.org/file/research/23/en/Top peta_Report_005_2010.pdf

  27. Washburn D, Sindhu U, Balaouras S, Dines RA, Hayes NM, Nelson LE (2010) Helping CIOs understand “Smart City” initiatives: defining the Smart City, its drivers, and the role of the CIO. Cambridge, MA: Forrester Research, Inc. Available from http://public.dhe. ibm.com/partnerworld/pub/smb/smarterplanet/forr_help_cios_und_smart_city_initiatives.pdf

    Google Scholar 

  28. IEEE, http://smartcities.ieee.org/about

  29. Department of Business Innovation & Skills, Smart cities: background Paper. October 2013

    Google Scholar 

  30. Chourabi H, Nam T, Walker S, Ramon Gil-Garcia J, Mellouli S, Nahon K, Pardo TA, Scholl HJ (2012) Understanding smart cities: an integrative framework. In: System science (HICSS), 2012 45th Hawaii international conference on. IEEE, Maui, pp 2289–2297

    Chapter  Google Scholar 

  31. Lee J, Bagheri B, Kao H-A (2015) A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf Lett 3:18–23

    Article  Google Scholar 

  32. Smart cities Council, “Transportation”, http://smartcitiescouncil.com/smart-cities-information-center/transportation

  33. Kumar S, Prakash A (2016) Role of big data and analytics in smart cities. Intl J Sci Res 5(2):31–33. https://www.ijsr.net/archive/v5i2/NOV161007.pdf

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Luleå University of Technology, Luleå, Sweden

    Adithya Thaduri & Uday Kumar

  2. Western Norway University of Applied Sciences, Haugesund, Norway

    Ajit Kumar Verma

Authors
  1. Adithya Thaduri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ajit Kumar Verma
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Uday Kumar
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Adithya Thaduri .

Editor information

Editors and Affiliations

  1. Amity Center for Interdisciplinary Research, Amity University, Noida, Uttar Pradesh, India

    P.K. Kapur

  2. Division of Operation & Maintenance Engineering, Luleå University of Technology, Luleå, Sweden

    Uday Kumar

  3. Western Norway University of Applied Sciences, Haugesund, Norway

    Ajit Kumar Verma

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this chapter

Cite this chapter

Thaduri, A., Verma, A.K., Kumar, U. (2018). Analytics for Maintenance of Transportation in Smart Cities. In: Kapur, P., Kumar, U., Verma, A. (eds) Quality, IT and Business Operations. Springer Proceedings in Business and Economics. Springer, Singapore. https://doi.org/10.1007/978-981-10-5577-5_7

Download citation

Publish with us

Policies and ethics

Search

Navigation