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Boosting Energy Efficiency of Heterogeneous Connected Automated Vehicle (CAV) Fleets via Anticipative and Cooperative Vehicle Guidance

Technical Report ·
DOI:https://doi.org/10.2172/1728461· OSTI ID:1728461
 [1];  [2];  [2];  [3];  [4];  [2];  [2];  [2];  [2];  [2];  [2]
  1. Clemson Univ., SC (United States); Clemson University
  2. Clemson Univ., SC (United States)
  3. Argonne National Lab. (ANL), Argonne, IL (United States)
  4. International Transportation Innovation Center (ITIC), Greenville, SC (United States)
+ Show Author Affiliations

In 2017, the Department of Energy funded a team at Clemson University and Argonne National Laboratory to develop collaborative perception and anticipative/predictive vehicle guidance schemes for Connected and Automated Vehicles (CAVs) and to quantify the energy saving potential of this technology in large scale traffic microsimulations at different levels of technology penetration and also experimentally. The project goal was demonstrating up to a 10% energy saving potential from different aspects of the implementation with a focus on reducing unnecessary braking events by anticipatory speed and lane selection. This project introduced novel anticipative car following and lane selection schemes for Connected and Automated Vehicles (CAVs). Our control schemes benefited from prediction of human driver behavior, information exchange between CAVs, and sometimes from collaboration to save energy, reduce braking events, and harmonize traffic. The energy savings was first demonstrated by traffic micro-simulations and then via a novel Vehicle-In-the-Loop (VIL) experimental testbed.

Research Organization:
Clemson Univ., SC (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office
DOE Contract Number:
EE0008232
OSTI ID:
1728461
Report Number(s):
DOE-Clemson-EE0008232
Country of Publication:
United States
Language:
English

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Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
42 ENGINEERING