Optimal Train Speed Profiles By Dynamic
Programming With Parallel Computing
And The Fine-tuning Of Mesh
Author(s)
G. Matsuura & M. Miyatake
Abstract
In this paper the authors investigated an algorithm optimizing a train speed
profile by the Bellman’s Dynamic Programming (DP). The DP-based method
has substantial advantages of coping with complicated conditions easily,
e.g. speed limitation, non-linear tractive effort and running resistance, effects of
regenerative electric energy and so on. One of the major drawbacks of DP is that
it requires a lot of computation time. If high accuracy of solutions is required,
computation time for the optimization will increase. In this paper, the authors
introduce the parallel computing technique for DP. The parallel computing
technique will shorten computation time sharply and succeed in both raising
accuracy of simulation and shortening of computation time. While distance
between stations for the profile optimization is 1000m at the longest in our
previous work, it will be prolonged significantly, keeping a comparable
computation time. In this paper the computation times with and without parallel
computing will be compared. DP has a further advantage in its use as a real time
control algorithm to which the optimal profile can be easily reconfigured against
some disturbances such as signalling.
Keywords: train speed profile, dynamic programming, optimization,
energy-saving, parallel computing technique, computation time.
Keywords
train speed profile, dynamic programming, optimization,
energy-saving, parallel computing technique, computation time.
Related Book
Other papers in this volume
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