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Smart City Total Transport-Managing System

(A Vision Including the Cooperating, Contract-Based and Priority Transport Management)
  • Nguyen Dinh DungEmail author
  • Jozsef Rohacs
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 257)

Abstract

Today’s nations are facing numerous challenges in transforming living environments in a way better-serving people’s demands of the future. The principal point in this transformation is reinventing cities as smart cities that combine their data, their resources, their infrastructure and their people to continually focus on improving livability while minimizing the use of resources. The usage data and sensor network is the primary characteristics of any smart city. However, just having data is not enough, data points themselves are only information. It is good to have, but hardly useful by themselves.

This paper gives a short overview of the concepts for transport management system in the smart city and proposes a new transport management approach that is contract-based and priority transport management. These methods allow to estimate and control traffic efficiently. Based on these concepts, the authors propose a new transport management system that is working as a single system. This proposed system has three layers: physical, info-communication and control generation. The system deals with four different classes of tasks: (i) handling the non-cooperative vehicle, (ii) traffic management based on the cooperative vehicle information, (iii) contract-based traffic management, (iv) priority transport management. Some benefits of implementing this system are also expected in this paper.

Keywords

Smart city Transport system Intelligent transport management Contract-based transport management Priority transport management 

References

  1. 1.
    Lee, J.H., Phaal, R., Lee, S.-H.: An integrated service-device-technology roadmap for smart city development. Technol. Forecast. Soc. Change 80(2), 286–306 (2013)CrossRefGoogle Scholar
  2. 2.
    Giffinger, R., Gudrun, H.: Smart cities ranking: an effective instrument for the positioning of the cities? ACE Arch. City Environ. 4(12), 7–26 (2010)Google Scholar
  3. 3.
    Schlingensiepen, J., Mehmood, R., Nemtanu, F.C.: Framework for an autonomic transport system in smart cities. Cybern. Inf. Technol. 15(5), 50–62 (2015)Google Scholar
  4. 4.
    He, Z., Guan, W., Ma, S.: A traffic-condition-based route guidance strategy for a single destination road network. Transp. Res. Part C Emerg. Technol. 32, 89–102 (2013)CrossRefGoogle Scholar
  5. 5.
    Peeta, S., Ziliaskopoulos, A.K.: Foundations of dynamic traffic assignment: the past, the present and the future. Netw. Spat. Econ. 1(3–4), 233–265 (2001)CrossRefGoogle Scholar
  6. 6.
    Yang, H., Bell, M.G.: Traffic restraint, road pricing and network equilibrium. Transp. Res. Part B Methodol. 31(4), 303–314 (1997)CrossRefGoogle Scholar
  7. 7.
    Yang, H., Huang, H.J.: The multi-class, multi-criteria traffic network equilibrium and systems optimum problem. Transp. Res. Part C Emerg. Technol. 38(1), 1–15 (2004)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Accenture: Building and managing an intelligent city. Technical report (2011). http://www.accenturecom/SiteCollectionDocuments/PDF/Accenture-Building-Managing-Intelligent-City.pdf
  9. 9.
    Ahlgren, B., Dannewitz, C., Imbrenda, C., Kutscher, D., Ohlman, B.: A survey of information-centric networking. IEEE Commun. Mag. 50(7), 26–36 (2012)CrossRefGoogle Scholar
  10. 10.
    Yuan, Y., Wang, F.-Y.: Towards blockchain-based intelligent transportation systems. In: 19th International Conference on IEEE Intelligent Transportation Systems (ITSC) (2016)Google Scholar
  11. 11.
    Guler, S.I., Gayah, V.V., Menendez, M.: Bus priority at signalized intersections with single-lane approaches: a novel pre-signal strategy. Transp. Res. Part C Emerg. Technol. 63, 51–70 (2016)CrossRefGoogle Scholar
  12. 12.
    Eichler, M., Daganzo, C.F.: Bus lanes with intermittent priority: strategy formulae and an evaluation. Transp. Res. Part B Methodol. 40(9), 731–744 (2006)CrossRefGoogle Scholar
  13. 13.
    Galotti, V.: The Future Air Navigation System (FANS): Communications, Navigation, Surveillance – Air Traffic Management (CNS/ATM), p. 362. Aldershot, Avebury Aviation (1997)Google Scholar
  14. 14.
    Guibert, S., Guichard, L., Rihacek, C., Castelli, L., Ranieri, A.: Contract-based air transportation system to fulfil the arriving–on-time objectives. In: 26th International Congress of th International Council of aeronautical sciences, (ICAS), p. 8 (2008). https://www.eurocontrol.int/eec/gallery/content/public/document/eec/conference/paper/2008/004_CATS.pdf
  15. 15.
    Guériau, M., Billot, R., El Faouzi, N.E., Monteil, J., Armetta, F., Hassas, S.: How to assess the benefits of connected vehicles? A simulation framework for the design of cooperative traffic management strategies. Transp. Res. Part C Emerg. Technol. 67, 266–279 (2016)CrossRefGoogle Scholar
  16. 16.
    Minch, R.P.: Location privacy in the Era of the Internet of Things and Big Data analytics. In: 48th Hawaii International Conference on IEEE System Sciences (HICSS), pp. 1521–1530 (2015)Google Scholar
  17. 17.
    Coppa, I., Woodgate, P., Mohamed-Ghouse, Z.: Global outlook 2016: spatial information industry (2016)Google Scholar
  18. 18.
    Piro, G., Cianci, I., Grieco, L.A., Boggia, G., Camarda, P.: Information centric services in smart cities. J. Syst. Softw. 88, 169–188 (2014)CrossRefGoogle Scholar
  19. 19.
    Hernández-Muñoz, J.M., et al.: Smart cities at the forefront of the future internet. In: Domingue, J., et al. (eds.) The Future Internet Assembly, pp. 447–462. Springer, Heidelberg (2011).  https://doi.org/10.1007/978-3-642-20898-0_32CrossRefGoogle Scholar
  20. 20.
    Schaffers, H., Komninos, N., Pallot, M., Trousse, B., Nilsson, M., Oliveira, A.: Smart cities and the future internet: towards cooperation frameworks for open innovation. In: Domingue, J., et al. (eds.) The Future Internet Assembly, pp. 431–446. Springer, Heidelberg (2011).  https://doi.org/10.1007/978-3-642-20898-0_31CrossRefGoogle Scholar
  21. 21.
    Xylomenos, G., et al.: A survey of information-centric networking research. IEEE Commun. Surv. Tutor. 16(2), 1024–1049 (2014)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Budapest University of Technology and EconomicsBudapestHungary

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