Design of Urban Landscape and Road Networks to Accommodate CAVs Phase 1 and 2.
The advent of connected and automated vehicles (CAVs) offers the promise of enhanced safety and mobility for travelers and enhanced efficiency for transportation system operations. CAVs will also have significant impacts on the form and function of the built environment. There is a need for transportation planners and policymakers to revisit existing urban landscape and road network design guidelines and develop new design guidelines to accommodate the transition to full adoption of CAVs in the future. The transition period can be classified into: initial adoption of CAVs at low market penetrations, mixed CAV and non-CAV traffic, and full adoption of CAVs. In Phase 1, the project team will analyze and develop urban landscape and road network designs to accommodate CAVs that can maximize safety and comfort for all road users, including motorists, public transit users, cyclists and pedestrians. Then, these designs will be evaluated based on a stated preference survey of road users to understand their perceived safety and comfort levels. The similarities and dissimilarities of different types of road users’ preferences will also be studied using statistical and econometric methods. The results and insights will be used to develop urban landscape and road network design guidelines in a CAV environment. In Phase 2, this study will construct various urban landscape and road network designs developed in Phase I of the project in an interactive driving simulator environment to understand how drivers of CAVs and human-driven vehicles (HDVs) interact with other vehicles and urban environment in these designs. We will evaluate the efficiency, safety and comfort levels of these designs from driver perspectives based on their behavior, psychological response through physiological factors (such as brain electrical activity and heart rate) and self-reported response to stated preference surveys. In addition, we will also evaluate the impacts of different urban landscape and road network designs, and other contributing factors on the adoption of CAVs. The results and insights will be used to develop urban landscape and road network design guidelines in a CAV environment, and design policies to influence CAV adoption speed through implementing various urban landscape and road network designs.
- Record URL:
Language
- English
Project
- Status: Completed
- Funding: $138,597 (USDOT) and $129,776 (Purdue CS)
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Contract Numbers:
69A3551747105
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Center for Connected and Automated Transportation
University of Michigan Transportation Research Institute
Ann Arbor, MI United States 48109 -
Project Managers:
Tucker-Thomas, Dawn
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Performing Organizations:
Purdue University, Lyles School of Civil Engineering
550 Stadium Mall Drive
West Lafayette, IN United States 47907 -
Principal Investigators:
Peeta, Sninivas
- Start Date: 20170801
- Expected Completion Date: 20220930
- Actual Completion Date: 20230302
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: City planning; Econometrics; Guidelines; Highway design; Intelligent vehicles; Mobile communication systems; Policy making; Stated preferences; Statistical analysis; Travelers; Urban design
- Subject Areas: Data and Information Technology; Design; Highways; Operations and Traffic Management; Planning and Forecasting; Policy; Vehicles and Equipment;
Filing Info
- Accession Number: 01645372
- Record Type: Research project
- Source Agency: Center for Connected and Automated Transportation
- Contract Numbers: 69A3551747105
- Files: UTC, RIP
- Created Date: Aug 31 2017 1:58PM