Abstract
Traffic signals typically introduce vehicle stops along a trip and thus increase vehicle fuel consumption levels. In attempt to enhance vehicle fuel efficiency, eco-cooperative adaptive cruise control (Eco-CACC) systems are being developed that receive signal phasing and timing data from downstream signalized intersections via vehicle-to-infrastructure communication. In this paper, an Eco-CACC algorithm is developed that computes the fuel-optimum vehicle trajectory through a signalized intersection by ensuring that the vehicle arrives at the intersection stop bar just as the last queued vehicle is discharged. A simulation analysis demonstrates that the proposed Eco-CACC system produces vehicle fuel savings up to 40%, when the market penetration rate (MPR) is 100%. The results also demonstrate that for single-lane approaches, the algorithm reduces the overall fuel consumption levels for all vehicles, and that higher MPRs result in larger savings. Alternatively, on multi-lane approaches, lower MPRs produce negative impacts on the overall intersection fuel efficiency, and only when MPRs are greater than 30% does the algorithm produce overall intersection fuel consumption savings.
Published Version
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