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Mobility Sensing and V2X Communication for Emergency Services

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Abstract

The warning of traveling emergency response vehicles (ERVs) is performed through the help of both sound and lights when the ERV is approaching. This is not an ideal situation for, at least, two reasons: the information is received only when the ERV is very close to other vehicles; and the other vehicles cannot understand where exactly the ERV is, and which action is the best according to its location and direction. With the help of vehicular communications, this paper proposes a different approach for an ERV to be autonomously and preemptively detected. Based on the collected data through vehicle communication and sensors, primarily through Cooperative Awareness Messages (CAMs) and Radio Detection And Ranging (RADAR) data, a prediction of the ERV future location is performed in real-time, and warning messages are disseminated to vehicles just before the ERV arrival. Real-world evaluation tests, considering different warning dissemination scenarios, show that the warning messages lost during the process is significantly reduced from almost 80% down to 22%, especially when infrastructure-to-vehicle and vehicle-to-vehicle communications are used together. Moreover, 80% of the total warning messages are delivered in less than 100 ms.

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Data Availability

The datasets generated during and/or analysed during the current study are not publicly available due to privacy restrictions with the bus company, but are available from the corresponding author on reasonable request.

Notes

  1. https://mosquitto.org/

  2. https://www.sqlite.org/

  3. The messages are independent of the underlying technology, and can be sent through these two technologies in the ATCLL testbed.

  4. https://www.pcengines.ch/apu.htm

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Acknowledgements

This work is supported by the University of Aveiro through the project PAC -Portugal AutoCluster for the Future, POCI-01-0247-FEDER-046095, financed by European Regional Development Fund (FEDER), through the Competitiveness and Internationalization Operational Programme, and by the Instituto de Telecomunicações through European Regional Development Fund – ERDF, included in the “Urban Innovative Actions” programme, through project Aveiro STEAM City (UIA03-084).

Funding

This work is supported by the University of Aveiro through the project PAC -Portugal AutoCluster for the Future, POCI-01-0247-FEDER-046095, financed by European Regional Development Fund (FEDER), through the Competitiveness and Internationalization Operational Programme, and by the Instituto de Telecomunicações through European Regional Development Fund – ERDF, included in the “Urban Innovative Actions” programme, through project Aveiro STEAM City (UIA03-084).

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Authors and Affiliations

  1. Universidade de Aveiro, Aveiro, 3810-193, Portugal

    Andreia Figueiredo & Susana Sargento

  2. Instituto de Telecomunicações, Aveiro, 3810-193, Portugal

    Andreia Figueiredo, Pedro Rito, Miguel Luís & Susana Sargento

  3. ISEL - Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Lisboa, 1959-007, Portugal

    Miguel Luís

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  1. Andreia Figueiredo
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Correspondence to Andreia Figueiredo.

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Pedro Rito, Miguel Luís and Susana Sargento supervise this work.

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Figueiredo, A., Rito, P., Luís, M. et al. Mobility Sensing and V2X Communication for Emergency Services. Mobile Netw Appl 28, 1126–1141 (2023). https://doi.org/10.1007/s11036-022-02056-9

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