印度铁路平交道口事故成本分析与预测

IF 1.7 4区 工程技术 Q4 TRANSPORTATION
Anil Kumar Chhotu, Sanjeev Kumar Suman
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引用次数: 0

摘要

随着车辆数量的大幅增加,密集的交通流量可能导致事故和死亡。在交通系统中,事故造成的损失是无法估量的。已有大量研究对致命事故的成本进行了预测,但提供的都是实际值。因此,本研究开发了基于猴子的模块化神经系统(MbMNS)来识别事故成本。收集事故案例和成本数据并进行预处理以去除噪声,然后使用蜘蛛猴函数提取所需的特征。根据提取的特征,确定了事故和成本。对于铁路工程而言,这将有助于评估不同时间间隔的铁路道口事故数量。此外,还通过不同的成本分析约束条件来衡量每起事故的影响,包括保险、医疗、法律和行政成本。因此,本研究通过收集和整理来自道口清单仪表盘的现有铁路平交道口事故数据,为该领域做出了贡献。其次,本研究的主要贡献是引入了用于成本分析的新型 MbMNS,以进一步丰富铁路平交道口保护系统。第三个贡献是将模块化神经网络的预测层调整到所需的水平,以获得最高的预测精确度得分。因此,设计的 MbMNS 在 Python 环境中进行了测试,并在召回率、准确率、F-measure、精确度和误差值方面对结果进行了验证;还进行了对比分析,以确认改进之处。新型 MbMNS 在事故和成本分析方面的准确率高达 96.29%,优于其他传统方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Cost Analysis and Prediction of Railroad Level Crossing Accidents for Indian Railways

Cost Analysis and Prediction of Railroad Level Crossing Accidents for Indian Railways

With the tremendous increase in the number of vehicles, the dense traffic created can lead to accidents and fatalities. In a traffic system, the costs for accidents are immeasurable. Numerous studies have been carried out to predict the cost of fatal accidents but have provided the actual values. Therefore, in this study, a monkey-based modular neural system (MbMNS) is developed to identify accident cost. The accident cases and cost data were collected and preprocessed to remove the noise, and the required features were extracted using the spider monkey function. Based on the extracted features, the accidents and the costs were identified. For rail engineering, this will support evaluating the number of railroad crossing accidents with different time intervals. The impact of every accident was also measured with different cost analysis constraints, including insurance, medical, and legal and administrative costs. Therefore, the present study contributes to the field by collecting and organizing the present railroad level crossing accident data from crossing inventory dashboards. Then, the introduction of a novel MbMNS for the cost analysis is the primary contribution of this study to further enrich the railroad level crossing protection system. The third contribution is the tuning of the prediction layer of a modular neural network to the desired level to achieve the highest predictive exactness score. Hence, the designed MbMNS was tested in the Python environment, and the results were validated with regard to recall, accuracy, F-measure, precision, and error values; a comparative analysis was also conducted to confirm the improvement. The novel MbMNS recorded high accuracy of 96.29% for accident and cost analysis, which is better than that reported for other traditional methods.

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来源期刊
Urban Rail Transit
Urban Rail Transit Multiple-
CiteScore
3.10
自引率
6.70%
发文量
20
审稿时长
5 weeks
期刊介绍: Urban Rail Transit is a peer-reviewed, international, interdisciplinary and open-access journal published under the SpringerOpen brand that provides a platform for scientists, researchers and engineers of urban rail transit to publish their original, significant articles on topics in urban rail transportation operation and management, design and planning, civil engineering, equipment and systems and other related topics to urban rail transit. It is to promote the academic discussions and technical exchanges among peers in the field. The journal also reports important news on the development and operating experience of urban rail transit and related government policies, laws, guidelines, and regulations. It could serve as an important reference for decision¬makers and technologists in urban rail research and construction field. Specific topics cover: Column I: Urban Rail Transportation Operation and Management • urban rail transit flow theory, operation, planning, control and management • traffic and transport safety • traffic polices and economics • urban rail management • traffic information management • urban rail scheduling • train scheduling and management • strategies of ticket price • traffic information engineering & control • intelligent transportation system (ITS) and information technology • economics, finance, business & industry • train operation, control • transport Industries • transportation engineering Column II: Urban Rail Transportation Design and Planning • urban rail planning • pedestrian studies • sustainable transport engineering • rail electrification • rail signaling and communication • Intelligent & Automated Transport System Technology ? • rolling stock design theory and structural reliability • urban rail transit electrification and automation technologies • transport Industries • transportation engineering Column III: Civil Engineering • civil engineering technologies • maintenance of rail infrastructure • transportation infrastructure systems • roads, bridges, tunnels, and underground engineering ? • subgrade and pavement maintenance and performance Column IV: Equipments and Systems • mechanical-electronic technologies • manufacturing engineering • inspection for trains and rail • vehicle-track coupling system dynamics, simulation and control • superconductivity and levitation technology • magnetic suspension and evacuated tube transport • railway technology & engineering • Railway Transport Industries • transport & vehicle engineering Column V: other topics of interest • modern tram • interdisciplinary transportation research • environmental impacts such as vibration, noise and pollution Article types: • Papers. Reports of original research work. • Design notes. Brief contributions on current design, development and application work; not normally more than 2500 words (3 journal pages), including descriptions of apparatus or techniques developed for a specific purpose, important experimental or theoretical points and novel technical solutions to commonly encountered problems. • Rapid communications. Brief, urgent announcements of significant advances or preliminary accounts of new work, not more than 3500 words (4 journal pages). The most important criteria for acceptance of a rapid communication are novel and significant. For these articles authors must state briefly, in a covering letter, exactly why their works merit rapid publication. • Review articles. These are intended to summarize accepted practice and report on recent progress in selected areas. Such articles are generally commissioned from experts in various field s by the Editorial Board, but others wishing to write a review article may submit an outline for preliminary consideration.
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