The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Ecological Vehicle Control on Roads With Up-Down Slopes
Abstract
This paper presents a novel development of an ecological (eco) driving system for running a vehicle on roads with up-down slopes. Fuel consumed in a vehicle is greatly influenced by road gradients, aside from its velocity and acceleration characteristics. Therefore, optimum control inputs can only be computed through anticipated rigorous reasoning using information concerning road terrain, model of the vehicle dynamics, and fuel consumption characteristics. In this development, a nonlinear model predictive control method with a fast optimization algorithm is implemented to derive the vehicle control inputs based on road gradient conditions obtained from digital road maps. The fuel consumption model of a typical vehicle is formulated using engine efficiency characteristics and used in the objective function to ensure fuel economy driving. The proposed eco-driving system is simulated on a typical road with various shapes of up-down slopes. Simulation results reveal the ability of the eco-driving system in significantly reducing fuel consumption of a vehicle. The fuel saving behavior is graphically illustrated, compared, and analyzed to focus on the significance of this development.
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Cites
Applied Optimal Control: Optimization, Estimation, and Control
Bryson, A. E., & Ho, Y.-C. (2018) · Routledge eBooks · doi:10.1201/9781315137667 · Cited by 6,015
Predictive Control With Constraints
Maciejowski, J. M. (2001) · Cambridge University Engineering Department Publications Database · Cited by 4,368
Predictive control with constraints
Camacho, E. F. (2003) · Automatica · doi:10.1016/s0005-1098(03)00056-6 · Cited by 3,530
Iterative methods for linear and nonlinear equations
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Iterative Methods for Linear and Nonlinear Equations
Kelley, C. T. (1995) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611970944 · Cited by 1,635
A continuation/GMRES method for fast computation of nonlinear receding horizon control
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Control of highway vehicles for minimum fuel consumption over varying terrain
Schwarzkopf, A. B., & Leipnik, R. B. (1977) · Transportation Research · doi:10.1016/0041-1647(77)90093-4 · Cited by 161
Fuel economy improvements for urban driving: Hybrid vs. intelligent vehicles
Manzie, C. G., Watson, H., & Halgamuge, S. K. (2006) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2006.11.003 · Cited by 160
Cited by
Federated Learning on the Road Autonomous Controller Design for Connected and Autonomous Vehicles
Zeng, T., Semiari, O., Chen, M., Saad, W., & Bennis, M. (2022) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2022.3183996 · Cited by 131
Mahdinia, I., Mohammadnazar, A., Arvin, R., & Khattak, A. J. (2021) · Accident Analysis & Prevention · doi:10.1016/j.aap.2021.106006 · Cited by 127
Jin, S., Sun, D.-H., Zhao, M., Li, Y., & Chen, J. (2020) · Physica A: Statistical Mechanics and its Applications · doi:10.1016/j.physa.2020.124217 · Cited by 86
Metadata
- Authors
- Kamal, M. A. S., Mukai, M., Murata, J., & Kawabe, T.
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2011-09
- Volume
- 12
- Issue
- 3
- Pages
- 783-794
- ISSN
- 1524-9050 (ISSN-L)
- 1558-0016
- OpenAlex
- W2129371268
- Cited by
- 384
- References
- 9
- FWCI
- 23.61
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kamal, M. A. S., Mukai, M., Murata, J., & Kawabe, T. (2011). Ecological Vehicle Control on Roads With Up-Down Slopes. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/tits.2011.2112648
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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