High-Speed Railway Passenger Node Classification Method and Train Stops Scheme

Zhou, Peng; Han, Bowen; Zhang, Qi

doi:10.4028/www.scientific.net/amm.505-506.632

Cited by 2 publications

(2 citation statements)

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“…Vogel and Graham [26], Cui et al [27] and Mayer [28] clustered airports, and explored the formation mechanism of airport groups and the relationships among airport categories, cargo types and geographical areas. Zhou et al [29] and Zhao et al [30] classified the stations in the HSR network according to the daily average volume of passenger traffic, laying the foundation for the design of a train planning.…”

Section: Clustering Methods Used In the Transportation Fieldmentioning

confidence: 99%

A Two-Dimensional Clustering Method for High-Speed Railway Trains in China Based on Train Characteristics and Operational Performance

Deng

Chen

et al. 2020

IEEE Access

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At present, China has the world's longest high-speed railway (HSR) network, but most trains do not have clear market positioning and hierarchical standard. The current train hierarchies and adjustment is empirically set by HSR organisers. This paper applies a clustering method and cross-over analysis to study the classification of China's HSR trains and provides scientific operation suggestions. By adopting the timetable data and ticket booking data of Shanghai-Nanjing intercity railway, we establish a clustering index system consists of train characteristics indexes and operational performance indexes, then use t-distributed Stochastic Neighbour Embedding (t-SNE) to do dimensionality reduction for original data. We obtain the optimal clustering number by validity indexes and use k-means to cluster the HSR trains. After clustering, we use a cross-over analysis to illustrate the relationship between train characteristics, passenger demand and operational performance. We find there are two main types of train on Shanghai-Nanjing intercity HSR: trains departing on the hour that have good operational performance, trains with staggered stops and low-capacity based on the strategies of ''low capacity, high density'' that have better operational performance at peak time. After 19:00, due to the passenger demand decrease, train capacity can be reduced to avoid unnecessary waste. Short-distance trains could easily be replaced by long-distance trains with similar stop schedules and need to maintain a certain operation frequency. The proposed clustering method has universal applicability for Chinese HSR lines. INDEX TERMS High-speed railway train, clustering analysis, train characteristics, operational performance, cross-over analysis.

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Section: Clustering Methods Used In the Transportation Fieldmentioning

confidence: 99%

A Two-Dimensional Clustering Method for High-Speed Railway Trains in China Based on Train Characteristics and Operational Performance

Deng

Chen

et al. 2020

IEEE Access

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“…They have become the inevitable choice and core technology of modern railway transportation and have strong competitiveness in medium-distance travel [ 1 , 2 , 3 ]. The technical requirements of high-speed railways for high smoothness, high stability, durability, and less maintenance have promoted the leap of the overall technology of railway track [ 4 ]. At present, the large-scale design, construction, and operation of China’s high-speed railway in the early stage have almost been completed, and the existing line has begun to enter the long-term stable operation stage.…”

Section: Introductionmentioning

confidence: 99%

Research on Dynamic Performance of CRTSⅢ Type Slab Ballastless Track under Long-Term Service

et al. 2022

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To fill the blank in the research on the dynamic performance of track structure under long-term service, the dynamic response study of China Railway Track System Ⅲ type slab ballastless track (CRTSIII SBT) under the action of fatigue for 30 million times and the parting between track slab and self-compacting concrete (SCC) was carried out. By establishing the finite element model of the CRTSIII SBT structure and taking the stiffness change of isolation layer and fastener under fatigue state and the parting during service as the research objects, combined with the full-scale model test, the dynamic response amplitude and vibration law of track structure was analyzed based on the finite element model of axle falling test method. The results show the following: (1) Under the fatigue load, the acceleration of rail and base increases obviously, the longitudinal tensile stress of SCC surface decreases, the longitudinal tensile stress of base surface increases, and the vertical stress of each layer of track structure increases as well. (2) Under the action of the parting, the dynamic response of each structural layer increases, and the change of acceleration and stress of each layer under the action point of axle falling is the most obvious. (3) The fatigue load will weaken the vibration damping performance of the track, and the parting will continue to develop under the action of the falling axle, resulting in partial or total failure of the SCC layer. Both of them will aggravate the dynamic response of the track structure and affect driving safety, which should be paid attention to during maintenance.

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High-Speed Railway Passenger Node Classification Method and Train Stops Scheme

Cited by 2 publications

References 0 publications

A Two-Dimensional Clustering Method for High-Speed Railway Trains in China Based on Train Characteristics and Operational Performance

A Two-Dimensional Clustering Method for High-Speed Railway Trains in China Based on Train Characteristics and Operational Performance

Research on Dynamic Performance of CRTSⅢ Type Slab Ballastless Track under Long-Term Service

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