A Variance Maximization Based Weight Optimization Method for Railway Transportation Safety Performance Measurement

Sun, Dongye; Jia, Yang; Qin, Lingqiao; Yang, Yang; Zhang, Jie

doi:10.3390/su10082903

Cited by 11 publications

(7 citation statements)

References 24 publications

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“…The weights assigned by experts must be objective and rational. Therefore, the weights of evaluation indices were divided into ten intervals according to the fuzzy classification theory [24]. The result of interval division indicates that the index weight is divided into 10 intervals from 0 to 1, and the weight of each interval is 0.1.…”

Section: A Index Weighting 1) Weight Intervalsmentioning

confidence: 99%

A Multi-Index Fusion Clustering Strategy for Traffic Flow State Identification

Bao

2019

IEEE Access

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This paper attempts to improve the identification accuracy of traffic flow states, and disclose the impacts of different evaluation indices on the identification results. To this end, a multi-index fusion clustering strategy is proposed in this research. Firstly, flow, velocity and occupancy were selected as the evaluation indices. Then, the weights of the three indices were initialized by a group of experts. After that, the objective function of a weight optimization model was set up to maximize the distance between projection centers of samples under different traffic flow states and to minimize the projection variance between samples under the same traffic flow state. The model was solved by the method of Lagrange multipliers, producing the optimal weight combination. Then, the optimal weights were introduced to the fuzzy c-means (FCM) clustering, forming the multi-index fusion clustering method. The results of example analysis show that our method differentiated between traffic flow states more accurately than the original FCM clustering. And the traffic flow identification accuracy improved from 94.0% to 96.6%. This is because the improved method retains most of the original features of the evaluation indices, which further facilitates the accurate clustering of traffic flow states. INDEX TERMS Identification of traffic flow states, index fusion, weight optimization, fuzzy c-means (FCM) clustering.

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Section: A Index Weighting 1) Weight Intervalsmentioning

confidence: 99%

A Multi-Index Fusion Clustering Strategy for Traffic Flow State Identification

Bao

2019

IEEE Access

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“…In this case, the weights of diferent factors which are used to distinguish the impact of diferent factors and the evaluation method which is used to measure the railway transportation performance have a great infuence on the assessment results. Terefore, how to determine the index weights [12] and evaluation method [13,14] reasonably become the key problems of railway transportation performance assessment. In the process of solving the index weight problem of multicriteria decisionmaking, there are three kinds of reliable methods.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Railway Transportation Performance Based on CRITIC-Relative Entropy Method in China

Zhang

Cheng

Qu³

2023

Journal of Advanced Transportation

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Railway transportation affects the overall transportation process and integrated sustainable development. Evaluation of the railway transportation performance is of great significance for building an efficient and comprehensive railway transportation system. The research establishes a methodology to evaluate railway transportation performance in China. Firstly, the research determines the indexes for evaluation of railway transportation performance, including railway safety, infrastructure, equipment, operation efficiency, and green development. Second, the weight of each index is calculated by using criteria importance through the intercriteria correlation method (CRITIC). Third, the railway transportation performance is assessed based on multi-criteria decision-making (MCDM), by applying the CRITIC-relative entropy method. Finally, the empirical analysis shows that, in 2018, the railway transportation performance is underdeveloped in almost half of China’s railway bureaus and that there are obvious differences between railway bureaus in the east and west. The evaluation of railway transportation performance could be used to improve the sustainable ability of railway transportation in China.

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“…Compared with traditional models, these models are good at linear or nonlinear approximation. Nevertheless, the generalization ability of such models is rather limited, calling for verification against massive measured data [17], [18].…”

Section: Introductionmentioning

confidence: 99%

Cause Analysis of Traffic Accidents on Urban Roads Based on an Improved Association Rule Mining Algorithm

Cai

2020

IEEE Access

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The traffic accidents on urban roads are result of joint actions between multiple factors, namely, human, vehicle, road and environment. To identify the key causes to such accidents, it is necessary to mine the association rules between relevant risk factors out of the statistics on these accidents. Considering the multiple layers and dimensions of accident data, this paper improves the Apriori algorithm to mine the association rules between risk factors, and probes deep into the causes of traffic accidents on urban roads. According to the layer and dimension of specific attributes, the parameters like support, confidence and lift were adjusted to find the qualified association rules between risk factors. The results were further screened to obtain a series of meaningful association rules. The research results enable the traffic department to formulate pertinent accident control measures, and promote the traffic safety on urban roads. INDEX TERMS Urban roads, causes of traffic accidents, data mining, association rules, Apriori algorithm.

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A Variance Maximization Based Weight Optimization Method for Railway Transportation Safety Performance Measurement

Cited by 11 publications

References 24 publications

A Multi-Index Fusion Clustering Strategy for Traffic Flow State Identification

A Multi-Index Fusion Clustering Strategy for Traffic Flow State Identification

Evaluation of Railway Transportation Performance Based on CRITIC-Relative Entropy Method in China

Cause Analysis of Traffic Accidents on Urban Roads Based on an Improved Association Rule Mining Algorithm

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