The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Optimal Coordination of Variable Speed Limits to Suppress Shock Waves
Abstract
When freeway traffic is dense, shock waves may appear. These shock waves result in longer travel times and in sudden large variations in the speeds of the vehicles, which could lead to unsafe situations. Dynamic speed limits can be used to eliminate or at least to reduce the effects of shock waves. However, coordination of the variable speed limits is necessary in order to prevent the occurrence of new shock waves and/or a negative impact on the traffic flows in other locations. In this paper, we present a model predictive control approach to optimally coordinate variable speed limits for freeway traffic with the aim of suppressing shock waves. First, we optimize continuous valued speed limits, such that the total travel time is minimal. Next, we include a safety constraint that prevents drivers from encountering speed limit drops larger than, e.g., 10 km/h. Furthermore, to get a better correspondence between the computed and applied control signals, we also consider discrete speed limits. We illustrate our approach with a benchmark problem.
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Cites
Constrained model predictive control: Stability and optimality
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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
Model predictive control in the process industry
Camacho, E. F., & Bordons, C. (1995) · Cited by 592
Some traffic features at freeway bottlenecks
Cassidy, M. J., & Bertini, R. L. (1999) · Transportation Research Part B: Methodological · doi:10.1016/s0191-2615(98)00023-x · Cited by 586
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Nonlinear Predictive Control and Moving Horizon Estimation — An Introductory Overview
Allgöwer, F., Badgwell, T. A., Qin, J. S., Rawlings, J. B., & Wright, S. J. (1999) · Advances in Control · doi:10.1007/978-1-4471-0853-5_19 · Cited by 474
Model Predictive Control in the Process Industry
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Cited by
A Survey on Cooperative Longitudinal Motion Control of Multiple Connected and Automated Vehicles
Wang, Z., Bian, Y., Shladover, S. E., Wu, G., Li, S. E., & Barth, M. J. (2020) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2019.2953562 · Cited by 316
Metadata
- Authors
- Hegyi, A., DeSchutter, B., & Hellendoorn, J.
- Venue
- IEEE Transactions on Intelligent Transportation Systems
- Published
- 2005-03
- Volume
- 6
- Issue
- 1
- Pages
- 102-112
- ISSN
- 1524-9050 (ISSN-L)
- OpenAlex
- W2108957357
- Cited by
- 420
- References
- 12
- FWCI
- 17.94
- Type
- journal article
- Language
- en
- Open access
- closed
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