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影响因子：8.089

DOI码：10.1016/j.trc.2019.05.043

所属单位：荷兰代尔夫特理工大学交通与规划系

教研室：瑞士苏黎世联邦理工学院交通规划与系统研究所

发表刊物：Transportation Research Part C: Emerging Technologies

刊物所在地：England

关键字：Freight train transport Driver advisory system Train traffic prediction Optimization

摘要：This paper proposes an approach to facilitate smooth merging of freight trains into a stream of passenger trains with short headways, to help drivers better control freight trains and avoid red signals. An algorithm architecture is proposed for Driver Advisory Systems (DASs) to compute time/speed advice for freight train drivers. The framework includes four parts: buffer stairway prediction, freight train movement prediction, merging window detection and merging optimization. The basic idea is to predict the traffic state in the merging area regularly and find the feasible merging time window. Proper advice can be presented to freight train drivers and help them to merge smoothly, by comparing the freight train movement to the feasible merging window. The performance of the proposed algorithms is illustrated on examples of merging freight trains in the Meteren and Kijfhoek areas on the Dutch railway network. The experimental results show the efficiency and quality of the proposed algorithms on real world size problems.

论文类型：期刊论文

论文编号：S0968090X18315778

学科门类：工学

文献类型：J

卷号：105

期号：Aug.

页面范围：203-221

字数：12096

ISSN号：0968-090X

是否译文：否

发表时间：2019-06-07

收录刊物：SCI、EI

发布期刊链接：https://www.sciencedirect.com/science/article/pii/S0968090X18315778