Planning for Connected & Autonomous Vehicles (CAV)

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Planning for Connected & Autonomous Vehicles (CAV)

Published Date

2019

Publisher

Resilient Communities Project (RCP), University of Minnesota

Type

Report

Abstract

These projects were completed as part of a year-long partnership between Scott County and the University of Minnesota’s Resilient Communities Project (http://www.rcp.umn.edu). The goal of the project was to research and plan for how several key sites in the county could be adapted and re-envisioned to accommodate connected and autonomous vehicles. Students in Dr. Fernando Burga’s Land Use Planning class worked with Scott County Traffic Engineer Mark Callahan to research the role of connected and autonomous vehicles in: impacting pedestrian safety, creating suburban and rural transportation hubs, master planning for an urban village, and restructuring freight and ports. Each team of students created a series of research posters that use visuals to introduce the problem, explore precedent and case studies, examine policy solutions, and provide design renderings and recommendations. Research posters from each site are available.

Description

Research posters completed by students enrolled in PA 5211 Land Use Planning, taught by Dr. Fernando Burga during Spring 2019.

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RCP-SC 10a;

Funding information

This project was supported by the Resilient Communities Project (RCP), a program at the University of Minnesota whose mission is to connect communities in Minnesota with U of MN faculty and students to advance community resilience through collaborative, course-based projects. RCP is a program of the Center for Urban and Regional Affairs (CURA). More information at http://www.rcp.umn.edu.

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Chao, Lynda; McNiel, Dan; Mohler, Elliot; Hase-Raney, Isaac; Corder, Ian; Leys, Kathryn; Molinari, Eric; Schneider, Ben; Del Rosario, Ari; Houser, Emily; Simmons, Koehl; Steinhoff, Forrest; Engstrom, Shannon; Haney, Patrick; Nowak, Jacqueline; Want, Yuyan. (2019). Planning for Connected & Autonomous Vehicles (CAV). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/206525.

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