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Title: Estimate of Fuel Consumption and GHG Emission Impact from an Automated Mobility District

This study estimates the range of fuel and emissions impact of an automated-vehicle (AV) based transit system that services campus-based developments, termed an automated mobility district (AMD). The study develops a framework to quantify the fuel consumption and greenhouse gas (GHG) emission impacts of a transit system comprised of AVs, taking into consideration average vehicle fleet composition, fuel consumption/GHG emission of vehicles within specific speed bins, and the average occupancy of passenger vehicles and transit vehicles. The framework is exercised using a previous mobility analysis of a personal rapid transit (PRT) system, a system which shares many attributes with envisioned AV-based transit systems. Total fuel consumption and GHG emissions with and without an AMD are estimated, providing a range of potential system impacts on sustainability. The results of a previous case study based of a proposed implementation of PRT on the Kansas State University (KSU) campus in Manhattan, Kansas, serves as the basis to estimate personal miles traveled supplanted by an AMD at varying levels of service. The results show that an AMD has the potential to reduce total system fuel consumption and GHG emissions, but the amount is largely dependent on operating and ridership assumptions. The study points tomore » the need to better understand ride-sharing scenarios and calls for future research on sustainability benefits of an AMD system at both vehicle and system levels.« less
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Resource Relation:
Conference: Presented at the 2015 International Conference on Connected Vehicles and Expo (ICCVE), 19-23 October 2015, Shenzhen, China; Related Information: Proceedings of the 2015 International Conference on Connected Vehicles and Expo (ICCVE), 19-23 October 2015, Shenzhen, China
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE)
Research Org:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:
NREL Laboratory Directed Research and Development (LDRD)
Country of Publication:
United States
30 DIRECT ENERGY CONVERSION; automated vehicles; mobility district; energy analysis