Prototyping a Low-cost Roadside Device System for Cooperative Automated Driving

Center for Connected and Automated Transportation/Research/Research from the University of Wisconsin/Prototyping a Low-cost Roadside Device System for Cooperative Automated Driving

Prototyping a Low-cost Roadside Device System for Cooperative Automated Driving

In Progress
Headshot of Yang Cheng. The link directs to their profile page on the CCAT website.
Yang Cheng
Headshot of Bin Ran. The link directs to their profile page on the CCAT website.
Bin Ran
Headshot of Steven Parker. The link directs to their profile page on the CCAT website.
Steven Parker
The University of Wisconsin-Madison Logo. The link directs to the funded research led by this institution.

Principal Investigator(s):

Yang Cheng, Research Scientist in the Wisconsin Traffic Operations and Safety (TOPS) Laboratory – University of Wisconsin-Madison
Bin Ran, Vilas Distinguished Achievement Professor of Civil and Environmental Engineering and Director of the ITS Program – University of Wisconsin-Madison
Steven Parker, Managing Director of the Wisconsin Traffic Operations and Safety (TOPS) Laboratory – University of Wisconsin-Madison

Project Abstract:
Although significant progress has been made in automated driving technologies, technical challenges still exist, especially for complex Operational Design Domains (ODDs). A low-cost roadside device system, the Connected Reference Marker (CRM) System, has been developed to support CAVs in those ODDs. The CRM system can facilitate CAV localization by providing real-time distance measurement and road geometry changes (i.e., work zones). Therefore, the CRM system has the potential to serve as a gateway system for infrastructure-based cooperative driving automation (CDA) due to its low cost and easy deployment. This project will evaluate the performance regarding localization and road geometry data provision in field experiments. Specifically, this project will build a prototype system and evaluate the localization accuracy in various scenarios; in addition, the prototype system will be used to detect the boundaries of work zones, as improving access to work zone data is one of the top needs identified through the USDOT Data for Automated Vehicle Integration (DAVI) effort. The detected boundaries of work zones will be later translated into a data feed following the Work Zone Data Exchange (WZDx) specification, a national work zone data standard pioneered by USDOT to meet the DAVI requirement and a critical part of the Roadway Digital Infrastructure (RDI) strategy.

Institution(s): University of Wisconsin-Madison

Award Year: 2024

Research Focus: Safety, Mobility

Project Form(s):

Project Information Form
Data Management Plan