A vehicle-in-the-loop emulation platform for demonstrating intelligent transportation systems

Wynita Griggs, Rodrigo Ordóñez-Hurtado, Giovanni Russo, Robert Shorten

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationControl Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions
Subtitle of host publicationDevelopment, Testing and Verification
EditorsHarald Waschl, Ilya Kolmanovsky, Frank Willems
Place of PublicationCham Switzerland
Number of pages22
ISBN (Electronic)9783319915692
ISBN (Print)9783319915685
Publication statusPublished - 2019
Externally publishedYes

Publication series

NameLecture Notes in Control and Information Sciences
ISSN (Print)0170-8643
ISSN (Electronic)1610-7411

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