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A Vehicle-in-the-Loop Emulation Platform for Demonstrating Intelligent Transportation Systems

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Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 476))

Abstract

In an emerging world of large-scale, interconnected, intelligent transportation systems, demonstrating and validating novel ideas and technologies can be a challenging one. Traditionally, one is presented with a choice to make, between performing demonstrations with a few proof-of-concept “outfitted” vehicles, or experimenting with large-scale computer simulation models. In this chapter, we revisit a recent vehicle-in-the-loop (VIL) emulation platform that was developed with the goal in mind of taking steps towards countering the above validation dilemma. Roughly speaking, it was shown that a real, outfitted test vehicle, equipped with novel intelligent transportation technologies, could be “embedded” in a large-scale traffic emulation being performed with the microscopic traffic simulation package SUMO, thus allowing the real vehicle and driver to interact with thousands of simulated cars on a common road map in real-time. In our present work, we now provide an overview of the latest updates to the VIL platform, which include some enhancements to increase the platform’s versatility and improve its functionality.

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Notes

  1. 1.

    Torque Pro by Ian Hawkins. Available from Google Play: https://play.google.com/store/apps/details?id=org.prowl.torque. Last accessed on 28 September, 2017.

  2. 2.

    Under typical conditions, SUMO only allows vehicles to be on roads, and thus if an attempt is made to move a vehicle to an arbitrary location, then SUMO will place it on the nearest road to that location, taking into account certain filters. One of these filters uses bearing information so that the vehicle is map-matched to the nearest road with an orientation similar to the bearing provided by the user.

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Acknowledgements

This work was partially supported by Science Foundation Ireland grant 11/PI/1177.

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Authors and Affiliations

  1. School of Electrical, Electronic and Communications Engineering, University College Dublin, Belfield, Dublin 4, Ireland

    Wynita Griggs, Rodrigo Ordóñez-Hurtado & Robert Shorten

  2. IBM Research—Ireland, Optimisation and Control Group, IBM Dublin Technology Campus, Building 3, Damastown Industrial Estate, Mulhuddart, Dublin 15, Ireland

    Rodrigo Ordóñez-Hurtado & Giovanni Russo

Authors
  1. Wynita Griggs
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  2. Rodrigo Ordóñez-Hurtado
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  3. Giovanni Russo
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  4. Robert Shorten
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Corresponding author

Correspondence to Wynita Griggs .

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Editors and Affiliations

  1. Institute for Design and Control of Mechatronical Systems, Johannes Kepler University Linz, Linz, Austria

    Harald Waschl

  2. Department of Aerospace Engineering, University of Michigan, Ann Arbor, Michigan, USA

    Ilya Kolmanovsky

  3. Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

    Frank Willems

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Griggs, W., Ordóñez-Hurtado, R., Russo, G., Shorten, R. (2019). A Vehicle-in-the-Loop Emulation Platform for Demonstrating Intelligent Transportation Systems. In: Waschl, H., Kolmanovsky, I., Willems, F. (eds) Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions . Lecture Notes in Control and Information Sciences, vol 476. Springer, Cham. https://doi.org/10.1007/978-3-319-91569-2_7

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