By Topic

Agent-based modeling of Eco-Cooperative Adaptive Cruise Control systems in the vicinity of intersections

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kamalanathsharma, R.K. ; Civil & Environ. Eng. Dept., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA ; Rakha, H.

Eco-Cooperative Adaptive Cruise Control (ECACC) systems are a type of Cooperative Adaptive Cruise Control (CACC) that compute the most fuel-efficient (or near-fuel efficient) vehicle trajectory using available information regarding roadway characteristics, set-speed, upcoming signal changes and interaction with other vehicles. ECACC leverages information transfer between vehicles and infrastructure to predict future fuel consumption for alternate vehicle trajectories and selects the fuel optimal trajectory for implementation. ECACC is vehicle-dependent and hence can be modeled using adaptive agents. The ECACC algorithm defined in this paper is vehicle-sensitive and is hence emulated using agent-based models. Simulations to measure the effectiveness of the proposed system using a state-of-the-art fuel-consumption model shows reductions in fuel consumption levels of up to 30 percent in proximity of signalized intersections.

Published in:

Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on

Date of Conference:

16-19 Sept. 2012