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A Dynamic Holding Approach to Stabilizing a Bus Line Based on the Q-learning Algorithm with Multistage Look-ahead | Sheng-Xue He
; June Qiong Dong
; Shi-Dong Liang
; Jian-Jia He
; Peng-Cheng Yuan
; | Date: |
15 Jun 2020 | Abstract: | The unreliable service and the unstable operation of a high frequency bus
line are shown as bus bunching and the uneven distribution of headways along
the bus line. Although many control strategies, such as the static and dynamic
holding strategies, have been proposed to solve the above problems, many of
them take on some oversimplified assumptions about the real bus line operation.
So it is hard for them to continuously adapt to the evolving complex system. In
view of this dynamic setting, we present an adaptive holding method which
combines the classic approximate dynamic programming (ADP) with the multi-stage
look-ahead mechanism. The holding time, that is the only control means used in
this study, will be determined by estimating its impact on the operation
stability of the bus line system in the remained observation period. The
multi-stage look-ahead mechanism introduced into the classic Q-learning
algorithm of the ADP model makes the algorithm get through its earlier unstable
phase more quickly and easily. During the implementation of the new holding
approach, the past experiences of holding operations can be cumulated
effectively into an artificial neural network used to approximate the
unavailable Q-factor. The use of a detailed simulation system in the new
approach makes it possible to take into accounts most of the possible causes of
instability. The numerical experiments show that the new holding approach can
stabilize the system by producing evenly distributed headway and removing bus
bunching thoroughly. Comparing with the terminal station holding strategies,
the new method brings a more reliable bus line with shorter waiting times for
passengers. | Source: | arXiv, 2006.8706 | Services: | Forum | Review | PDF | Favorites |
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