The Optimal Control of a Train
By P. Howlett. Annals of Operations Research, 2000
368 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Mechanical Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/e6acdb210fd6381933839ef4f3085faf09bcf42e
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In Industrial and Manufacturing Engineering
In Mechanical Engineering
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Citations in the corpus
- Optimal trajectory planning for trains – A pseudospectral method and a mixed integer linear programming approach (2013, methodology): “The maximum traction force umax is often considered as constant in the literature (Howlett, 2000).”
- Local energy minimization in optimal train control (2009, methodology): “The theory of discrete control has been extended to continuous control by Khmelnitsky [14] and others [11,12,16] and to control of solar–powered cars [4,10].”
- A Survey on Energy-Efficient Train Operation for Urban Rail Transit (2016, methodology): “In 2000, Howlett [26] considered the problem with a generalized equation of motion, and concluded that the optimal speed profile for a discrete control model can be used to approximate as closely as we please the optimal speed profile by using a continuous control model.”
- Optimal trajectory planning for trains under fixed and moving signaling systems using mixed integer linear programming (2014, methodology): “, maximum traction, 18 cruising, coasting, and maximum braking) (Howlett et al., 1994; Howlett, 2000; Khmelnitsky, 19 2000; Liu & Golovicher, 2003).”
- A two-step linear programming model for energy-efficient timetables in metro railway networks (2015, methodology): “When a train makes a trip from an origin platform to a destination platform, its optimal speed profile consists of four phases: 1) maximum acceleration, 2) speed hold, 3) coast and 4) maximum brake ( Howlett and Pudney, 1995 ), as shown in Fig.”
- An Energy-Efficient Train Operation Approach by Integrating the Metro Timetabling and Eco-Driving (2020, methodology): “Cheng and Howlett [16], [17] and Howlett [18] proposed a discrete eco-driving model and presented an analytical method to find an idealized strategy by solving the optimal duration of the control sequences.”
- Single-Train Trajectory Optimization (2013, methodology): “The Pontryagin maximum principle is the common method used to compute the solution in cases where the input signals are either continuous or discrete [9].”
- A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy (2012, background): “For taking the theory into practice, variable gradients, variable speed limits, and traction efficiency were gradually considered [23]–[29].”
- Energy saving potentials of connected and automated vehicles (2018, background): “This is classic problem that has been addressed in optimal control of trains that have to travel between two stations in a fixed amount of time [23], [24].”