United States Department of Transportation
i
Connected Eco-Driving Technologies for Adaptive Traffic Signal Control
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2019-01-01
[PDF-3.18 MB]
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Edition:Final Report 2015-2018
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Abstract:Signal phase and timing (SPaT) data enable eco-driving for vehicles both approaching and departing signalized intersections. The data are often presumed to be accurate as well as obtained from the conventional fixed-time signals that operate deterministically. In practice, however, it is common to have actuated or adaptive signals in which the signal timing is dynamic and thus less predictable. This leads to less-than-perfect SPaT containing uncertain signal timing information. A new eco-driving algorithm is formulated explicitly taking into consideration the uncertainty of SPaT data from adaptive signals. A rigorous methodology is further developed to generate meaningful SPaT in the context of a real-life adaptive control system. Two test sites, New York City and Arcadia of California, are selected for simulation studies. Results indicate that the new eco-driving strategy provides the benefits of fuel consumption savings and emission reductions even with less-than-perfect signal timing info from adaptive signals. A cyclic adaptive signal control system facilitates the predictability of future signal timing because of the cyclic nature and that the dynamic timing is known ahead of local zeros. Regardless of the accuracy of SPaT data, eco-driving may have negligible network benefits when traffic becomes oversaturated; vehicles cannot apply the needed speed adjustments with the constraints from surrounding vehicles in high density. It is revealed that the network benefits of eco-driving depend on the co-existence of both eco-driving and non-eco-driving vehicles. The latter provides the leeway for eco-driving vehicles to implement optimal speed adjustments. This means network benefits may diminish with the increase of market penetration of connected eco-driving vehicles.
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