Sydney Water Corporation operational control strategy

2005 ◽  
Author(s):  
M. Wassell
Keyword(s):  
Control Strategy ◽  
Operational Control

The impact of dwell time variability on transit signal priority performance

2014 ◽  
Vol 41 (2) ◽  
pp. 154-163 ◽  
Author(s):  
Mohammad S. Ghanim ◽  
Francois Dion ◽  
Ghassan Abu-Lebdeh
Keyword(s):  
Control Strategy ◽  
Dwell Time ◽  
Signalized Intersections ◽  
Time Variability ◽  
Transit Signal Priority ◽  
Operational Control ◽  
Priority Systems ◽  
Bus Delay ◽  
Transit Agencies ◽  
The Impact

Transit signal priority (TSP) is an operational control strategy that provides preferential treatments for transit vehicles at signalized intersections. Many transit agencies are currently considering the implementation of priority systems providing buses with preferential treatments at signalized intersections. While studies have demonstrated potential bus delay reductions, none has attempted to identify the problems posed by variable dwell times at bus stops. This study identifies the impacts of variable dwell times on the efficiency of transit signal priority systems. Results also show that, in general, variable dwell times negatively affect the TSP performance. However, and contrary to expectations, a number of scenarios with variable dwell times resulted in lower average bus delays than scenarios with fixed dwell times. These results are attributed to changes in progression and bus arrival patterns under variable dwell times resulting in an increasing number of buses arriving close enough to benefit from preferential treatments.

Dealing with various sources of uncertainty in the operational control of water systems using ensemble based MPC with convex optimization

2020 ◽  
Author(s):  
Klaudia Horvath ◽  
Maarten Smoorenburg ◽  
Diederik Vreeken ◽  
Ruben Sinnige ◽  
Rodolfo Alvarado Montero ◽  
...  
Keyword(s):  
Convex Optimization ◽  
Open Source ◽  
Goal Programming ◽  
Control Strategy ◽  
Computational Cost ◽  
Water Systems ◽  
Optimal Operation ◽  
Optimization Techniques ◽  
Mixed Integer ◽  
Operational Control

<p>Model Predictive Control (MPC) can be an effective tool for the operational control of water systems, but there are still many open questions about how this technique can effectively take into uncertainties of forecasts, initial states or the model setup. Moreover, computational cost and robustness often prohibit the use of existing methods in practice. We here report recent developments in the open source RTC-Tools software framework that allow representing these uncertainties through ensembles and computing the optimal control strategy with convex optimization techniques in combination with lexicographical goal programming. Convex optimization is required to have robust mathematical solutions within the short computation times that are feasible in operational practice. Goal programming is here used to facilitate straightforward optimization of competing objectives with results understandable for end-users. Adaptations of Raso’s Tree-Based MPC (e.g. Raso et al., 2014) are used to represent the possibilities offered in future control steps, permitting a realistic moving horizon control strategy while not being excessively conservative.</p><p>The developments are illustrated with applications in different water systems using methods for convex optimization of linear Mixed Integer problems as well as quadratically constrained problems with both open source and commercial solvers. We also demonstrate how RTC-Tools build-in methods can be used for linearization of system equations and objectives. The applications were evaluated in controlled experiments to learn about strengths and weaknesses in comparison with other ensemble and deterministic MPC methods.</p><p>Exploration of the added value of selected uncertainty representation techniques within MPC solutions is presented in a separate contribution (Smoorenburg et al. 2020, session HS4.3 “Ensemble hydrological forecasting: Decision making under uncertainty”).</p><p>Raso, L., D. Schwanenberg, N. C. van de Giesen, and P. J. van Overloop. 2014. “Short-Term Optimal Operation of Water Systems Using Ensemble Forecasts.” Advances in Water Resources 71 (September): 200–208.</p>

Human operator control strategy model

1980 ◽  
Author(s):  
Harold F. Engler ◽  
Esther L. Davenport ◽  
Joanne Green ◽  
William E. Sears
Keyword(s):  
Control Strategy ◽  
Human Operator ◽  
Strategy Model ◽  
Operator Control

Supply Chain Inventory Control Strategy Based on Risk Attitude

ICTE 2015 ◽  
2015 ◽  
Author(s):  
Ming Jian ◽  
Yuanyuan Li ◽  
Rajapov Azamat
Keyword(s):  
Supply Chain ◽  
Inventory Control ◽  
Control Strategy ◽  
Risk Attitude
Sign in / Sign up

Export Citation Format

Share Document