Adapting Land Use and Infrastructure for Automated Driving
Yafeng Yin, Professor of Civil and Environmental Engineering – The University of Michigan
Professor of Industrial and Operations Engineering – The University of Michigan
Srinivas Peeta, Hockema Professor of Civil Engineering – Purdue University
This project is concerned with adapting land use and transportation infrastructure for automated driving. Autonomous vehicles will likely yield a transformation of urban form, its land use and mobility system. We propose to establish quantitative modeling frameworks to analyze these impacts and implications. The frameworks will provide a quantifiable understanding of the tradeoffs, and reveal the underlying mechanism and identify key parameters that could shape the future of mobility systems and urban land use. Moreover, the proposed modeling frameworks will aid planning agencies with infrastructure adaptation planning and optimize a roadmap for shaping highway infrastructure towards automated mobility.
Award Year: 2018
Research Thrust(s): Policy & Planning