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Eco-Efficient Mobility in Smart City Scenarios

Author

Listed:
  • Ramon Sanchez-Iborra

    (Department of Information and Communication Engineering, University of Murcia, 30100 Murcia, Spain)

  • Luis Bernal-Escobedo

    (Department of Information and Communication Engineering, University of Murcia, 30100 Murcia, Spain)

  • José Santa

    (Department of Electronics, Computer Technology and Projects, Technical University of Cartagena, 30202 Cartagena, Spain)

Abstract

Cooperative-Intelligent Transportation Systems (C-ITS) have brought a technological revolution, especially for ground vehicles, in terms of road safety, traffic efficiency, as well as in the experience of drivers and passengers. So far, these advances have been focused on traditional transportation means, leaving aside the new generation of personal vehicles that are nowadays flooding our streets. Together with bicycles and motorcycles, personal mobility devices such as segways or electric scooters are firm sustainable alternatives that represent the future to achieve eco-friendly personal mobility in urban settings. In a near future, smart cities will become hyper-connected spaces where these vehicles should be integrated within the underlying C-ITS ecosystem. In this paper, we provide a wide overview of the opportunities and challenges related to this necessary integration as well as the communication solutions that are already in the market to provide these moving devices with low-cost and efficient connectivity. We also present an On-Board Unit (OBU) prototype with different communication options based on the Low Power Wide Area Network (LPWAN) paradigm and several sensors to gather environmental information to facilitate eco-efficiency services. As the attained results suggest, this module allows personal vehicles to be fully integrated in smart city environments, presenting the possibilities of LoRaWAN and Narrow Band-Internet of Things (NB-IoT) communication technologies to provide vehicle connectivity and enable mobile urban sensing.

Suggested Citation

  • Ramon Sanchez-Iborra & Luis Bernal-Escobedo & José Santa, 2020. "Eco-Efficient Mobility in Smart City Scenarios," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:20:p:8443-:d:427569
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    References listed on IDEAS

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    1. Lo, Pak Lam & Martini, Gianmaria & Porta, Flavio & Scotti, Davide, 2020. "The determinants of CO2 emissions of air transport passenger traffic: An analysis of Lombardy (Italy)," Transport Policy, Elsevier, vol. 91(C), pages 108-119.
    2. Olumide F. Abioye & Maxim A. Dulebenets & Junayed Pasha & Masoud Kavoosi, 2019. "A Vessel Schedule Recovery Problem at the Liner Shipping Route with Emission Control Areas," Energies, MDPI, vol. 12(12), pages 1-28, June.
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    Cited by:

    1. Franklin Oliveira & Dilan Nery & Daniel G. Costa & Ivanovitch Silva & Luciana Lima, 2021. "A Survey of Technologies and Recent Developments for Sustainable Smart Cycling," Sustainability, MDPI, vol. 13(6), pages 1-28, March.
    2. Filip Škultéty & Dominika Beňová & Jozef Gnap, 2021. "City Logistics as an Imperative Smart City Mechanism: Scrutiny of Clustered EU27 Capitals," Sustainability, MDPI, vol. 13(7), pages 1-16, March.
    3. Ulfia A. Lenfers & Nima Ahmady-Moghaddam & Daniel Glake & Florian Ocker & Daniel Osterholz & Jonathan Ströbele & Thomas Clemen, 2021. "Improving Model Predictions—Integration of Real-Time Sensor Data into a Running Simulation of an Agent-Based Model," Sustainability, MDPI, vol. 13(13), pages 1-14, June.
    4. Ulfia Annette Lenfers & Nima Ahmady-Moghaddam & Daniel Glake & Florian Ocker & Jonathan Ströbele & Thomas Clemen, 2021. "Incorporating Multi-Modal Travel Planning into an Agent-Based Model: A Case Study at the Train Station Kellinghusenstraße in Hamburg," Land, MDPI, vol. 10(11), pages 1-20, November.

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