A Physical Testbed for Intelligent Transportation Systems

Adam Morrissett, Roja Eini, Mostafa Zaman, Nasibeh Zohrabi, Sherif Abdelwahed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Intelligent transportation systems (ITSs) and other smart-city technologies are increasingly advancing in capability and complexity. While simulation environments continue to improve, their fidelity and ease of use can quickly degrade as newer systems become increasingly complex. To remedy this, we propose a hardware- and software-based traffic management system testbed as part of a larger smart-city testbed. It comprises a network of connected vehicles, a network of intersection controllers, a variety of control services, and data analytics services. The main goal of our testbed is to provide researchers and students with the means to develop novel traffic and vehicle control algorithms with higher fidelity than what can be achieved with simulation alone. Specifically, we are using the testbed to develop an integrated management system that combines model-based control and data analytics to improve the system performance over time. In this paper, we give a detailed description of each component within the testbed and discuss its current developmental state. Additionally, we present initial results and propose future work.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 12th International Conference on Human System Interaction, HSI 2019
PublisherIEEE Computer Society
Pages161-167
Number of pages7
ISBN (Electronic)9781728139807
DOIs
StatePublished - Jun 2019
Event12th International Conference on Human System Interaction, HSI 2019 - Richmond, United States
Duration: Jun 25 2019Jun 26 2019

Publication series

NameInternational Conference on Human System Interaction, HSI
Volume2019-June
ISSN (Print)2158-2246
ISSN (Electronic)2158-2254

Conference

Conference12th International Conference on Human System Interaction, HSI 2019
Country/TerritoryUnited States
CityRichmond
Period6/25/196/26/19

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Software

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