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Dynamic Organisation of Traffic Flows in the Transport Network in Terms of Sustainable Mobility and the Development of Industry 4.0

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Sustainable Logistics and Production in Industry 4.0

Part of the book series: EcoProduction ((ECOPROD))

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Abstract

The chapter presents a concept for the method of traffic flow organisation in the transport network by dynamic changes to various components of the infrastructure. Proposed improvements include continuous (dynamic) changes of traffic flow organisation based on collected and processed data that describe the road network as regards its instantaneous use. The data in this approach are acquired with respect to specific profiles of the road network. Road network components in question enable to change dynamically and improve the traffic flow organisation based on data collected and processed in Big Data sets. Those sets are associated with the entire urban socio-economic system rather than a specific transport network. For their legitimate use, data acquired from multiple sources, examples of which are presented in the chapter, undergo complex processing and modification according to the Industry 4.0 concept (in this sense, transport network user is integrated into network-based IT systems). At the same time, the idea of dynamic traffic improvement, regarding nearly all components of the transport infrastructure, should lead to reduced cost and better traffic flow distribution in the transport network from the point of view of the entire system. The above means that the traffic distribution should be typically implemented in transport systems with controlled traffic. The introduction of a large number of reasonable changes to a number of road network cross sections reduces the stochastic nature of the road traffic. At the same time, the aim is to promote sustainable mobility not only in designated sections of the transport network, but also in the entire area.

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References

  • Arbaiza A, Lucas-Alba (2012) A variable message signs harmonisation. Principles of VMS design deployment guideline. http://www.transport.gov.mt/admin/uploads/media-library/files/principlesofvmsdesign.pdf. Accessed 10 Jan 2019

  • Banister D (2008) The sustainable mobility paradigm. Transp Policy 15:73–80

    Article  Google Scholar 

  • Borkowski P (2017) Towards an optimal multimodal travel planner—lessons from the European experience. In: Sierpiński G (ed) Intelligent transport systems and travel behavior. Advances in intelligent systems and computing, vol 505. Springer, pp 163–174

    Google Scholar 

  • Bressan A, Han K (2011) Optima and equilibria for a model of traffic flow. SIAM J Math Anal 43:2384–2417

    Article  MathSciNet  Google Scholar 

  • Celiński I, Sierpiński G (2013a) A dynamic management of a public transportation fleet. LogForum 9(3):135–143

    Google Scholar 

  • Celiński I, Sierpiński G (2013b) Traffic signal control system with extended logic in the context of the modal split. IERI Procedia 4:148–154

    Article  Google Scholar 

  • Celiński I, Sierpiński G, Staniek M, Barcik J, Czech P (2015) Traffic data as a support for control of vide system of variable message signs. Logistyka 4:1307–1314

    Google Scholar 

  • Clean Power for Transport: A European alternative fuels strategy, COM (2013), 17, Brussels, 24 January 2013

    Google Scholar 

  • Dalenogare LS, Benitez GB, Ayala NF, Frank AG (2018) The expected contribution of Industry 4.0 technologies for industrial performance. Int J Prod Econ 204:383–394

    Article  Google Scholar 

  • Er-hui Ch, Jing L, Yun-ling W, Juan X (2013) A study on variable message signs graphical comparation. Procedia—Soc Behav Sci 96:2523–2528

    Article  Google Scholar 

  • Erke A, Sagberg F, Hagman R (2007) Effects of route guidance variable message signs (VMS) on driver behaviour. Transp Res Part F: Traffic Psychol Behav 10(6):447–457

    Article  Google Scholar 

  • Faheem M, Shah SBH, Butt RA, Raza B, Anwar M, Ashraf MW, Ngadi MA, Gungor VC (2018) Smart grid communication and information technologies in the perspective of Industry 4.0: opportunities and challenges. Comput Sci Rev 30:1–30

    Article  Google Scholar 

  • Groot N, De Schutter B, Hellendoorn H (2012) Dynamic optimal routing based on a reverse Stackelberg game approach. In: Proceedings of the 15th international IEEE conference on intelligent transportation systems (ITSC 2012), pp 782–787, Anchorage, Alaska

    Google Scholar 

  • Grzybowska K (2012) Supply chain sustainability—analysing the enablers. In: Golinska P, Romano CA (eds) Environmental issues in supply chain management—new trends and applications. Springer, pp 25–40

    Google Scholar 

  • Grzybowska K, Łupicka A (2019) Key competencies of supply chain managers—comparison of the expectations of practitioners and theoreticians’ vision. In: Burduk A, Chlebus E, Nowakowski T, Tubis A (eds) Intelligent systems in production engineering and maintenance. Advances in intelligent systems and computing, vol 835. Springer Nature Switzerland AG, pp 742–752

    Google Scholar 

  • Gunasekaran A, Subramanian N, Ngai WTE (2019) Quality management in the 21st century enterprises: research pathway towards Industry 4.0. Int J Prod Econ 207:125–129

    Article  Google Scholar 

  • Hu T, Yang J, Li X, Gong P (2016) Mapping urban land use by using landsat images and open social data. Remote Sens 8(151):1–18

    Google Scholar 

  • Jacyna M (2008) Wybrane zagadnienia modelowania systemów transportowych. Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa (in Polish: Selected issues of modeling transport systems)

    Google Scholar 

  • Jacyna M, Żak J, Jacyna-Gołda I, Merkisz J, Merkisz-Guranowska A, Pielucha J (2013) Selected aspects of the model of proecological transport system. J KONES, Powertrain Transp 20:193–202

    Article  Google Scholar 

  • Jaunzems D, Lektauers A (2013) Suitability analysis of routing algorithms for web-based transportation planning. Inf Technol Manag Sci 16:79–84

    Google Scholar 

  • Kijewska K, Małecki K, Iwan S (2016) Analysis of data needs and having for the integrated urban freight transport management system. Commun Comput Inf Sci 640:135–148

    Google Scholar 

  • Li M, Lin X, He F, Jiang H (2016) Optimal locations and travel time display for variable message signs. Transp Res Part C: Emerg Technol 69:418–435

    Article  Google Scholar 

  • Małecki K, Pietruszka P, Iwan S (2017) Comparative analysis of selected algorithms in the process of optimization of traffic lights. In: Asian conference on intelligent information and database systems. Lecture notes in computer science, vol 10192. Springer, pp 497–506

    Google Scholar 

  • NCHRP SYNTHESIS 383 (2008) Changeable message sign displays during non-incident, non-roadwork periods

    Google Scholar 

  • Ortúzar J, Willumsen LG (2011) Modelling transport, 4th edn. Wiley

    Google Scholar 

  • Our Common Future (1987) Report of the World Commission on Environment and Development, Transmitted to the General Assembly as an Annex to document A/42/427—Development and International Cooperation: Environment. http://www.un-documents.net/wced-ocf.htm

  • Sierpiński G (2017) Technologically advanced and responsible travel planning assisted by GT planner. In: Macioszek E, Sierpiński G (eds) Contemporary challenges of transport systems and traffic engineering. Lecture notes in network and systems, vol 2. Springer, pp 65–77

    Google Scholar 

  • Sierpiński G, Celiński I (2012) Use of GSM technology as the support to manage the modal distribution in the cities. In: Subic A, Wellnitz J, Leary M, Koopmans L (eds) Sustainable automotive technologies 2012. Springer, Heidelberg, pp 235–244

    Chapter  Google Scholar 

  • Sierpiński G, Staniek M (2016) Education by access to visual information—methodology of moulding behaviour based on international research project experiences. In: Gómez Chova L, López Martínez A, Candel Torres I (eds) ICERI2016 proceedings. IATED Academy, pp 6724–6729

    Google Scholar 

  • Sierpiński G, Staniek M, Celiński I (2016) Travel behavior profiling using a trip planner. Transp Res Procedia 14C:1743–1752

    Article  Google Scholar 

  • Stanley J (2014) Land use/transport integration: starting at the right place. Res Transp Econ 48:381–388

    Article  Google Scholar 

  • Szarata A (2013) The simulation analysis of suppressed traffic. Adv Transp Stud 29:35–44

    Google Scholar 

  • Valerio D (2009) Road traffic monitoring from cellular network signaling. FTW-TR-2009-003, p 48

    Google Scholar 

  • Verma A, Ramanayya TV (2014) Public transport planning and management in developing countries. CRC Press, Taylor & Francis Group

    Google Scholar 

  • White Paper: Roadmap to a single European transport area—towards a competitive and resource efficient transport system. COM (2011), 144

    Google Scholar 

  • Zezulka F, Marcon P, Vesely I, Sajdl O (2016) Industry 4.0—an introduction in the phenomenon. IFAC-PapersOnLine 49(25):8–12

    Article  Google Scholar 

  • Zezulka F, Marcon P, Bradac Z, Arm J, Benesl T, Vesely I (2018) Communication systems for Industry 4.0 and the IIoT. IFAC-PapersOnLine 51(6):150–155

    Article  Google Scholar 

Download references

Acknowledgements

The selection of the present research has been financed from the means of the National Centre for Research and Development as a part of the international project within the scope of ERA-NET Transport III Future Travelling Programme ‘A platform to analyse and foster the use of Green Travelling options (GREEN_TRAVELLING)’.

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Correspondence to Grzegorz Sierpiński .

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Sierpiński, G., Celiński, I. (2020). Dynamic Organisation of Traffic Flows in the Transport Network in Terms of Sustainable Mobility and the Development of Industry 4.0. In: Grzybowska, K., Awasthi, A., Sawhney, R. (eds) Sustainable Logistics and Production in Industry 4.0. EcoProduction. Springer, Cham. https://doi.org/10.1007/978-3-030-33369-0_11

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