Economical Acquisition of Intersection Data to Facilitate CAV Operations Phase II – Implementation

Center for Connected and Automated Transportation/Research/Research from Purdue University/Economical Acquisition of Intersection Data to Facilitate CAV Operations Phase II – Implementation

Economical Acquisition of Intersection Data to Facilitate CAV Operations Phase II – Implementation

In Progress
Headshot of James Krogmeier. The link directs to their profile page.
James Krogmeier
Samuel Labi Headshot. The link directs to their profile page.
Samuel Labi
Purdue University Logo. The link directs to the funded research led by this institution.

Principal Investigator(s):

James Krogmeier, Professor of Electrical and Computer Engineering – Purdue University
Samuel Labi, Professor of Civil Engineering – Purdue University
Director – NEXTRANS
Associate Director – Center for Connected and Automated Transportation (CCAT)

Project Abstract:
Cost-effective collection and distribution of intersection data are needed to facilitate traffic operations at intersections in the HDV era and particularly, in the prospective era of CAVs. Existing methods are time consuming and costly. The first part of this research (executed under CCAT Project Nr. 71), which ended August 2023, developed a cost-effective intersection data collection and distribution device for this purpose (see photo). This device prototype was bench tested in Spring and Summer of 2023 at Lansing and Owosso, respectively, and was found to successfully make SPaT and MAP data easy to collect and dissimulate via to mobile devices. The proposed research (Phase 2) will provide research personnel resources to deploy the device at a number of intersections in the City of Owosso, MI.

Institution(s): Purdue University

Award Year: 2023

Research Focus: Safety

Project Form(s):

Project Information Form
Data Management Plan