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Real-world heavy-duty truck trajectories on signalized corridors

Citation

Wei, Zhensong; Brown, Dylan; Hao, Peng; Boriboonsomsin, Kanok (2022), Real-world heavy-duty truck trajectories on signalized corridors, Dryad, Dataset, https://doi.org/10.6086/D1BT3K

Abstract

This dataset contains real-world trajectories of a heavy-duty truck traveling on two urban freight corridors—Alameda St and Wilmington Ave—near the Ports of Los Angeles and Long Beach in California. Some of the signalized intersections on these two corridors have been instrumented with communication devices to enable a connected vehicle application called Eco-Approach and Departure (EAD). The EAD application uses signal phase and timing information from the upcoming traffic signal along with the information about the state of the host vehicle and preceding traffic to determine the best course of action for the host vehicle to pass through the intersection. The truck trajectories in this dataset were collected during the real-world experiment to evaluate the effectiveness of a truck EAD system in reducing energy consumption of the truck. The dataset contains truck trajectories when driving with and without the use of the truck EAD system in both directions of the two corridors.

Methods

Both real-world baseline and eco-drive data files are in .csv format. The contents of each file include vehicle speed (in mph), fuel rate (in liters/s), and distance to the next intersection (in meters) collected every second (1Hz).

Funding

California Energy Commission

California Air Resources Board