This work presents an integrated framework of: vehicle dynamics models, with a particular attention to instabilities and traffic waves; vehicle energy models, with particular attention to accurate energy values for strongly unsteady driving profiles; and sparse Lagrangian controls via automated vehicles, with a focus on controls that can be executed via existing technology such as adaptive cruise control systems. This framework serves as a key building block in developing control strategies for human-in-the-loop traffic flow smoothing on real highways. In this contribution, we outline the fundamental merits of integrating vehicle dynamics and energy modeling into a single framework, and we demonstrate the energy impact of sparse flow smoothing controllers via simulation results.
Abstract:
Publication date:
May 18, 2021
Publication type:
Conference Paper
Citation:
Lee, J. W., Gunter, G., Ramadan, R., Almatrudi, S., Arnold, P., Aquino, J., Barbour, W., Bhadani, R., Carpio, J., Chou, F.-C., Gibson, M., Gong, X., Hayat, A., Khoudari, N., Kreidieh, A. R., Kumar, M., Lichtlé, N., McQuade, S., Nguyen, B., … Seibold, B. (2021). Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers. Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems, 41–47. https://doi.org/10.1145/3459609.3460530