Demonstration of a time-efficient mobility system using a scaled smart city

ABSTRACT

The implementation of connected and automated vehicle (CAV) technologies enables a novel computational framework to deliver real-time control actions that optimise travel time, energy, and safety. Hardware is an integral part of any practical implementation of CAVs, and as such, it should be incorporated in any validation method. However, high costs associated with full scale, field testing of CAVs have proven to be a significant barrier. In this paper, we present the implementation of a decentralised control framework, which was developed previously, in a scaled-city using robotic CAVs, and discuss the implications of CAVs on travel time. Supplemental information and videos can be found at https://sites.google.com/view/ud-ids-lab/tfms.

KEYWORDS:

• Connected and automated vehicles
• optimal control
• emerging mobility systems
• smart city
• scaled city

Acknowledgements

The authors would like to acknowledge Michael Lashner, Kunzheng Li, Haley Lloyd, Thomas Patterson, and the rest of the UDSSC Senior Design team for their effort in designing, building, and testing the newest generation of CAVs used in this paper. The authors would also like to thank Ioannis Vasileios Chremos for his valuable comments and feedback on the manuscript. This support is gratefully acknowledged.

Disclosure statement

No potential conflict of interest was reported by the author(s).

ORCID

R. Zayas  http://orcid.org/0000-0001-8674-8631

A. A. Malikopoulos  http://orcid.org/0000-0003-4817-0976

Additional information

Funding

This research was supported in part by ARPAE's NEXTCAR program under the award number DE-AR0000796 and by the Delaware Energy Institute (DEI)–University of Delaware.