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The Use of Automatic Vehicle Location (AVL) Data for Improving Public Transport Service Regularity

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Advanced Information Networking and Applications (AINA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 227))

Abstract

Smart and sustainable mobility systems are crucial elements for tomorrow’s cities, whose facilities will be increasingly connected automated and environmentally friendly. Therefore, many strategies based on alternatively-powered vehicles, shared transport modes and micro-mobility solutions are being developed. However, the promotion of traditional public transport solutions still remains a key factor. Therefore, increasing their attractiveness, thus positively influencing the modal split, turns out to be an important goal to be achieved. In this context, we proposed a methodology, based on the use of Automatic Vehicle Location (AVL) data, for improving transit service performance. Finally, in order to show the feasibility of the proposed approach, it has been applied to a real bus line operating in the south of Italy.

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References

  1. European Parliament: The European Green Deal: European Parliament resolution of 15 January 2020 on the European Green Deal (2019/2956(RSP)), pp. 1–24 (2020). https://www.europarl.europa.eu/doceo/document/TA-9-2020-0005_EN.html. Accessed Feb 2021

  2. Dahlgren, S.: Biogas-based fuels as renewable energy in the transport sector: An overview of the potential of using CBG, LBG and other vehicle fuels produced from biogas. Biofuels (in press). https://doi.org/10.1080/17597269.2020.1821571

  3. Rizopoulos, D., Esztergár-Kiss, D.: A method for the optimization of daily activity chains including electric vehicles. Energies 13(4), 1–21 (2020). https://doi.org/10.3390/en13040906

  4. Turki, F., Guetif, A., Sourkounis, C.: Contactless charging electric vehicles with renewable energy. In: Proceedings of the 5th International Renewable Energy Congress (IREC 2014), Hammamet, Tunisia (2014). https://doi.org/10.1109/IREC.2014.6826998

  5. Adhikari, M., Ghimire, L.P., Kim, Y., Aryal, P., Khadka, S.B.: Identification and analysis of barriers against electric vehicle use. Sustainability 12(12), 1–20 (2020). https://doi.org/10.3390/su12124850

    Article  Google Scholar 

  6. Ratinho, T.: E-scooters, bikes and urban mobility: lessons from the streets of Paris. The Conversation (on line journal) (2019). https://theconversation.com/e-scooters-bikes-and-urban-mobility-lessons-from-the-streets-of-paris-125619. Accessed Feb 2021

  7. Bieliński, T., Ważna, A.: Electric scooter sharing and bike sharing user behaviour and characteristics. Sustainability 12(22), 1–13 (2020). https://doi.org/10.3390/su12229640

    Article  Google Scholar 

  8. Turoń, K., Kubuc, A., Chen, F., Wang, H., Lazarz, B.: A holistic approach to electric shared mobility systems development - modelling and optimization aspects. Energies 13(21), 1–19 (2020). https://doi.org/10.3390/en13215810

    Article  Google Scholar 

  9. Gallo, M., D’Acierno, L., Montella, B.: A multimodal approach to bus frequency design. WIT Trans. Built Environ. 116, 193–204 (2011). https://doi.org/10.2495/UT110171

    Article  Google Scholar 

  10. Cascetta, E., Cartenì, A., Carbone, A.: The quality in public transportation: the Campania regional metro system. Ing. Ferrov. 68(3), 241–261 (2013). http://www.ingegneriaferroviaria.it/web/it/node/526

  11. Di Maio, A., Botte, M., Montella, B., D’Acierno, L.: The definition of bus fleet operational parameters: the dwell time estimation. In: Proceedings of the 20th IEEE International Conference on Environment and Electrical Engineering (IEEE EEEIC 2020) and 4th Industrial and Commercial Power Systems Europe (I&CPS 2020), Madrid, Spain (2020). https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160592

  12. Esztergar-Kiss, D.: Trip chaining model with classification and optimization parameters. Sustainability 12(16), 1–15 (2020). https://doi.org/10.3390/su12166422

    Article  Google Scholar 

  13. D’Acierno, L., Botte, M.: Railway system design by adopting the Merry-Go-Round (MGR) paradigm. Sustainability 13(4), 1–21 (2021). https://doi.org/10.3390/su13042033

    Article  Google Scholar 

  14. De Martinis, V., Gallo, M., D’Acierno, L.: Estimating the benefits of energy-efficient train driving strategies: a model calibration with real data. WIT Trans. Built Environ. 130, 201–211 (2013). https://doi.org/10.2495/UT130161

    Article  Google Scholar 

  15. Cartenì, A., Henke, I.: External costs estimation in a cost-benefit analysis: the new Formia-Gaeta tourist railway line in Italy. In: Proceedings of the 17th IEEE International Conference on Environment and Electrical Engineering (IEEE EEEIC 2017) and 1st Industrial and Commercial Power Systems Europe (I&CPS 2017), Milan, Italy (2017). https://doi.org/10.1109/EEEIC.2017.7977614

  16. D’Acierno, L., Botte, M.: Passengers’ satisfaction in the case of energy-saving strategies: a rail system application. In: Proceedings of the 18th IEEE International Conference on Environment and Electrical Engineering (IEEE EEEIC 2018) and 2nd Industrial and Commercial Power Systems Europe (I&CPS 2018), Palermo, Italy (2018). https://doi.org/10.1109/EEEIC.2018.8494575

  17. Calise, F., Cappiello, F.L., Cartenì, A., Dentice d’Accadia, M., Vicidomini, M.: A novel paradigm for a sustainable mobility based on electric vehicles, photovoltaic panels and electric energy storage systems: case studies for Naples and Salerno (Italy). Renew. Sustain. Energy Rev. 111, 97–114 (2019). https://doi.org/10.1016/j.rser.2019.05.022

    Article  Google Scholar 

  18. Esztergar-Kiss, D., Braga Zagabria, C.: Method development for workplaces using mobility plans to select suitable and sustainable measures. Res. Transp. Bus. Manag. (in press). https://doi.org/10.1016/j.rtbm.2020.1005

  19. Gallo, M., Marinelli, M.: Sustainable mobility: a review of possible actions and policies. Sustainability 12(18), 1–39 (2020). https://doi.org/10.3390/su12187499

    Article  Google Scholar 

  20. Bifulco, G.N., Cartenì, A., Papola, A.: An activity-based approach for complex travel behaviour modelling. Eur. Transp. Res. Rev. 2(4), 209–221 (2010). https://doi.org/10.1007/s12544-010-0040-3

    Article  Google Scholar 

  21. Cartenì, A., Galante, G., Henke, I.: An assessment of models accuracy in predicting railways traffic flows: a before and after study in Naples. WIT Trans. Ecol. Environ. 191, 783–794 (2014). https://doi.org/10.2495/SC140661

    Article  Google Scholar 

  22. Ercolani, M., Placido, A., D’Acierno, L., Montella, B.: The use of microsimulation models for the planning and management of metro systems. WIT Trans. Built Environ. 135, 509–521 (2014). https://doi.org/10.2495/CR140421

    Article  Google Scholar 

  23. Caropreso, C., Di Salvo, C., Botte, M., D’Acierno, L.: A long-term analysis of passenger flows on a regional rail line. Int. J. Transp. Dev. Integr. 1(3), 329–338 (2017). https://doi.org/10.2495/TDI-V1-N3-329-338

    Article  Google Scholar 

  24. Di Mauro, R., Botte, M., D’Acierno, L.: An analytical methodology for extending passenger counts in a metro system. Int. J. Transp. Dev. Integr. 1(3), 589–600 (2017). https://doi.org/10.2495/TDI-V1-N3-589-600

    Article  Google Scholar 

  25. D’Acierno, L., Botte, M., Montella, B.: Assumptions and simulation of passenger behaviour on rail platforms. Int. J. Transp. Dev. Integr. 2(2), 123–135 (2018). https://doi.org/10.2495/TDI-V2-N2-123-135

    Article  Google Scholar 

  26. D’Acierno, L., Cartenì, A., Montella, B.: Estimation of urban traffic conditions using an Automatic Vehicle Location (AVL) System. Eur. J. Oper. Res. 196(2), 719–736 (2009). https://doi.org/10.1016/j.ejor.2007.12.053

    Article  MATH  Google Scholar 

  27. Dureja, A., Suman, S.: Efficient transportation: future aspects of IoV. Int. J. Veh. Inf. Commun. Syst. 5(3), 290–308 (2020). https://doi.org/10.1504/IJVICS.2020.110994

    Article  Google Scholar 

  28. Esztergar-Kiss, D., Kerenyi, T., Matrai, T., Aba, A.: Exploring the MaaS market with systematic analysis. Eur. Transp. Res. Rev. 12, 1–16 (2020). https://doi.org/10.1186/s12544-020-00465-z

    Article  Google Scholar 

  29. Etzioni, S., Hamadneh, J., Elvarsson, A., Esztergar-Kiss, D., Djukanovic, M., Neophytou, S., Sodnik, J., Polydoropoulou, A., Tsouros, I., Pronello, C., Thomopoulos, N., Shiftan, Y.: Modeling cross-national differences in automated vehicle acceptance. Sustainability 12(22), 1–22 (2020). https://doi.org/10.3390/su1222976

    Article  Google Scholar 

  30. Jung, I.: An IoT-based smart parking management system. Int. J. Comput. Vis. Robot. 10(2), 122–132 (2020). https://doi.org/10.1504/IJCVR.2020.105680

    Article  Google Scholar 

  31. Lytras, M.D., Chui, K.T., Liu, R.W.: Moving towards intelligent transportation via Artificial Intelligence and Internet-of-Things. Sensors 20(23), 1–4 (2020). https://doi.org/10.3390/s20236945

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Civil, Architectural and Environmental Engineering, Federico II University of Naples, 80125, Naples, Italy

    Benedetta Argenzio, Nicola Amatucci, Marilisa Botte, Luca D’Acierno, Luca Di Costanzo & Luigi Pariota

Authors
  1. Benedetta Argenzio
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  2. Nicola Amatucci
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  3. Marilisa Botte
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  4. Luca D’Acierno
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  5. Luca Di Costanzo
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  6. Luigi Pariota
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Corresponding author

Correspondence to Luca D’Acierno .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Computer Science, Ryerson University, Toronto, ON, Canada

    Isaac Woungang

  3. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Argenzio, B., Amatucci, N., Botte, M., D’Acierno, L., Di Costanzo, L., Pariota, L. (2021). The Use of Automatic Vehicle Location (AVL) Data for Improving Public Transport Service Regularity. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-030-75078-7_66

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