Solutions for planning smart hybrid public transportation system - Poznan agglomeration as a case study of satellite towns' connections

• Autorzy: Banach Marzena , Kubiak Katarzyna , Długosz Rafał

Identyfikatory

DOI

10.15439/2019F293

• Konferencja: Federated Conference on Computer Science and Information Systems (14 ; 01-04.09.2019 ; Leipzig, Germany)
• Języki publikacji: EN

Abstrakty

EN

A primary goal of the Internet of Things is to create smart spaces, including smart cities and intelligent transportation system (ITS). One of the ITS variants is smart hybrid public transportation system, whose efficient development requires a broad support from the side of information and communication technologies (ICT). For such a system to function optimally, vehicles that are part of it have to be able to exchange data with other road users and road infrastructure. This applies especially to autonomous vehicles, whose trajectories may be in the future controlled through the vehicle-to-infrastructure (V2I) communication network. In the paper we propose a system that can be used to optimize the boundaries of relatively small suburban zones, in which public autonomous vehicles would be allowed to operate. Vehicles of this type may offer the transport only to the nearest local railway stations, from which the travel to the central city of the agglomeration would be continued for example by train. The concept of the proposed solution is based on the Voronoi diagrams, in which particular suburban train stations are treated as local attractors. The proposed software system in one of its stages uses Google Maps engine that allows for the determination of road distances and travel times between particular towns. On the basis of such data it determines the mentioned zones. Their boundaries, as well as optimal routes in a given period of the day may be communicated to the vehicles through the V2I system. The system performance is presented for an exemplary case of Poznan city, Poland.

Słowa kluczowe

EN

intelligent public hybrid transport system; transport planning; autonomous vehicles; software system

PL

inteligentny publiczny system transportu hybrydowego; planowanie transportu; pojazd autonomiczny; system oprogramowania

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2019
• Tom: Vol. 20
• Strony: 67--72
• Opis fizyczny: Bibliogr. 11 poz., il., wykr., tab.

Twórcy

autor

Banach Marzena

• Poznan University of Technology, Institute of Architecture and Spatial Planning, ul. Nieszawska 13C, 61-021 Poznan, Poland

autor

Kubiak Katarzyna

• Adam Mickiewicz University Faculty of Mathematics and Computer Science, ul. Umultowska 87, 61-614 Poznan, Poland

autor

Długosz Rafał

• UTP University of Science and Technology Faculty of Telecommunication, Computer Science and Electrical Engineering, ul. Kaliskiego 7, 85-796, Bydgoszcz, Poland

Bibliografia

• 1. I. Azkuna, “Smart cities studies: International study on the situation of ICT, innovation and Knowledge in cities,” The Committee of Digital and Knowledge-based Cities of UCLG, Bilbao, 2012.
• 2. Spot Mairie, [Online]. Available: http://www.nicecotedazur.org/la-metropole/spot-mairie, (access 2019.05.15)
• 3. C. Benevolo, R. P. Dameri, B. D’Auria, (Editors: T. Torre, A.M. Braccini, R. Spinelli), “Smart Mobility in Smart City. Action taxonomy, ICT intensity and public benefits,” Empowering Organizations: Enabling Platforms and Artefacts, Springer, ISBN 978-3-319-23784-8, 2016, pp. 13–28.
• 4. Bus – Tram – Railway System in Poznan. [Online]. Available: http://bustramwajkolej.pl/
• 5. M. Banach, “Use of Intelligent hybrid solutions in sustainable public transportation system for the net of small cities”, Zarzadzanie ̨ Publiczne (Public Management), No. 3 / 2019
• 6. A. Nowak, “Application of Voronoi diagrams in contemporary architecture and town planning” Challenges of Modern Technology, Vol. 6, no. 2, pp.30–34, 2015.
• 7. M. Abellanas, B. Palop, “Urban Data Visualization with Voronoi Diagrams,” In: Gervasi O., Murgante B., Laganà A., Taniar D., Mun Y., Gavrilova M.L. (eds) Computational Science and Its Applications – ICCSA 2008. ICCSA 2008. Lecture Notes in Computer Science, vol 5072. Springer, Berlin, Heidelberg
• 8. F. Bahraminejad, K. Babaki, “Application of Voronoi diagram as an architectural and urban planning design tool,” Indian Journal of Fundamental and Applied Life Sciences, ISSN: 2231–6345, 2015 Vol.5 (S1), pp. 1776-1783, [Online]. Available: www.cibtech.org/sp.ed/jls/2015/01/jls.htm
• 9. J. Park, S. Ji, H. Jun, “The Application of Voronoi Diagram into the Space Planning for Urban Design,” 7th International Symposium on Architectural Interchanges in Asia (ISAIA 2008), pp. 524-528.
• 10. Z. Xinqi, W. Shuqing, F. Meichen, Z. Lu, Y. Shujia, (2010) “Urban Cluster Layout Based on Voronoi Diagram,” In: Elleithy K. (eds) Advanced Techniques in Computing Sciences and Software Engineering. Springer, Dordrecht
• 11. D. R. Mota, M. Takano, Pastor W. Gonzales Taco, “A Method Using GIS Integrated Voronoi Diagrams for Commuter Rail Station Identification: A Case Study from Brasilia (Brazil),” Procedia - Social and Behavioral Sciences, Volume 162, 19 December 2014, pp. 477-486.

Uwagi

1. Track 3: Network Systems and Applications

2. Technical Session: 3rd Workshop on Internet of Things - Enablers, Challenges and Applications

3. Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).