Advertisement

ProMaaS - Mobility as a Service for Professionals

Integrated Sectorial Business Platform for Multimodal Cross Border Mobility
  • Christophe FeltusEmail author
  • Adnan Imeri
  • Sébastien Faye
  • Gérald Arnould
  • Djamel Khadraoui
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 879)

Abstract

In recent years, multimodal mobility and Mobility as a Service (MaaS) have emerged as fundamental concepts in several professional sectors. This trend comes with a wide number of sector-specific technical and functional requirements, including for example delivery time and location in the construction sector, strict in-time delivery for sensitive materials in the healthcare sector and lower transportation times and overall costs in the logistics sector. In this context, this paper introduces a study towards developing ProMaaS: a platform concept developed to open and extend existing mobility services and technologies by addressing multimodal cross-border mobility issues through the lens of sectorial business approaches. This conceptual solution aims to facilitate the daily mobility of professional drivers in Luxembourg, which due to the country size, has an exceptionally high volume of business-related commuting needs from and to neighbouring countries (e.g. to meet partners or to visit customers).

Keywords

Multimodal transportation Cross-border mobility Platform Sectorial mobility Mobility as a service 

References

  1. 1.
    Van Der Velde, M.: The power of cross-border labour market immobility. Tijdschrift voor economische en sociale geografie 95(1), 100–107 (2004)CrossRefGoogle Scholar
  2. 2.
    EUTRAVEL Project ID: 636148, H2020-EU.3.4. Optimodal European Travel Ecosystem, 2015–2017. http://www.eutravelproject.eu/
  3. 3.
    BONVOYAGE Project ID: 635967, H2020-EU.3.4. From Bilbao to Oslo, intermodal mobility solutions and interfaces for people and goods, supported by an innovative communication network, 2015–2018. http://bonvoyage2020.eu/
  4. 4.
    MASAI Project ID: 636281, H2020-EU.3.4. Mobility based on Aggregation of Services and Applications Integration, 2015–2018. http://masai.solutions/about/m2c/
  5. 5.
    Faye, S., Cantelmo, G., Tahirou, I., Derrmann, T., Viti, F., Engel, T.: MAMBA: a platform for personalised multimodal trip planning. In: IEEE VNC 2017, Torino, Italy (2017)Google Scholar
  6. 6.
    Heinz, F.F. et al., Cross-border labour mobility within an enlarged EU (2006)Google Scholar
  7. 7.
    Fellini, I., Ferro, A., Fullin, G.: Recruitment processes and labour mobility: the construction industry in Europe. Work Employ. Soc. 21(2), 277–298 (2007)CrossRefGoogle Scholar
  8. 8.
    Kabene, S.M., et al.: The importance of human resources management in health care: a global context. Hum. Resour. Health 4(1), 20 (2006)CrossRefGoogle Scholar
  9. 9.
    Hevner, R., March, S.T., Park, J.: Design science in information systems research. MIS Q. 28(1), 6 (2004)CrossRefGoogle Scholar
  10. 10.
    Aubert, J., Feltus, C., Kostakis, A., Khadraoui, D.: Smart-X: an adaptive multi-agent platform for smart-topics. In: The 7th International Symposium on Frontiers in Ambient and Mobile Systems (FAMS), In conjunction with the 8th ANT. Springer, (2017)Google Scholar
  11. 11.
    Khadraoui, D., Feltus, C.,: Towards a framework for applying the visualization of smart monitoring architectures to a distributed ubiquity mobility platform. In: The 13th International Conference on Autonomic and Autonomous Systems (2017)Google Scholar
  12. 12.
    Baresi L, et al.: SeSaMe.: Towards a semantic self-adaptive middleware for smart spaces. In: International Workshop on Engineering Multi-Agent Systems. Springer (2013)Google Scholar
  13. 13.
    Zambonelli, F., et al.: Programming self-organizing pervasive applications with SAPERE. In: Intelligent Distributed Computing VII, pp. 93–102. Springer International Publishing (2014)Google Scholar
  14. 14.
    Rouvoy, R., et al.: Music: middleware support for self-adaptation in ubiquitous and service-oriented environments. In: Software Engineering for Self-Adaptive Systems, pp. 164–182 Springer, Heidelberg (2009)Google Scholar
  15. 15.
    Ben Abdelkrim, I., Baina, A., Bellafkih, M., Feltus, C., Aubert, J., Khadraoui, D.: Coalition-OrBAC: an agent-based access control model for dynamic coalitions. In: The 6th World Conference on Information Systems and Technologies (WorldCist 2018), Napoli, Italy (2018)Google Scholar
  16. 16.
    Sabatucci, L., Cavaleri, A., Cossentino, M.: Adopting a middleware for self-adaptation in the development of a smart travel system. In: Intelligent Interactive Multimedia Systems and Services 2016, pp. 671–681. Springer, Cham (2016)Google Scholar
  17. 17.
    OPTIMUM Project, ID: 636160, H2020-EU.3.4. Optimised Network Architectures for Multimedia Services, 2015–2018. http://www.optimumproject.eu/
  18. 18.
    IT2Rail, Project ID: 636078, H2020-EU.3.4. Information Technologies for Shift2Rail, 2015–2017. http://www.it2rail.eu/
  19. 19.
    ETC project ID: 636126, H2020-EU.3.4. The European Travellers Club: Account-Based Travelling across the European Union, 2015–2018. http://www.europeantravellersclub.eu
  20. 20.
    MOBiNET Project ID: 318485, ICT-2011.6.7. Europe-Wide Platform for Cooperative Mobility Services, 2012–2017. http://www.mobinet.eu/
  21. 21.
    Fok, C.L., et al.: A mobile agent middleware for self-adaptive wireless sensor networks. ACM TAAS 4(3), 16 (2009)MathSciNetGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Christophe Feltus
    • 1
    Email author
  • Adnan Imeri
    • 1
  • Sébastien Faye
    • 1
  • Gérald Arnould
    • 1
  • Djamel Khadraoui
    • 1
  1. 1.ITIS DepartmentLuxembourg Institute of Science and Technology (LIST)Esch/AlzetteLuxembourg

Personalised recommendations