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Natural disaster warning system for safe operation of a high-speed railway

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Transportation Safety and Environment 2021年第4期3卷 34-45页

作者： hu qizhou Fang Xin Bian Lishuang School of Automation Nanjing University of Science and TechnologyNanjing 210094China

In this paper,the least square support vector machine(LSSVM)is used to study the safety of a high-speed *** to the principle of LSSVM regression prediction,the parameters of the LSSVM are optimized to model the natural disaster early warning of safe operation of a high-speed railway,and the management measures and methods of high-speed railway safety operation under natural disasters are *** relevant statistical data of China’s high-speed railway are used for training and *** experimental results show that the LSSVM can well reflect the nonlinear relationship between the accident rate and the influencing factors,with high simulation accuracy and strong generalization ability,and can effectively predict the natural disasters in the safe operation of a high-speed ***,the early warning system can improve the ability of safety operation evaluation and early warning of high-speed railway under natural disasters,realize the development goals of high-speed railway(safety,speed,economic,low-carbon and environmental protection)and provide a theoretical basis and technical support for improving the safety of a high-speed railway.

关键词： high-speed railway safe operation natural disaster early warning system least square support vector machine(LSSVM)

Earthquake Emergency Response System of High-speed Railway by Least Square Method

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Journal of Harbin Institute of Technology(New Series) 2023年第2期30卷 1-11页

作者： qizhou hu Yikai Wu School of Automation Nanjing University of Science and TechnologyNanjing 210094China

This paper studies the Least Square Method to define high-speed railway(HSR) earthquake risk and solve the problem of its emergency response mechanism. Based on the construction of a monitoring system for HSR earthquake emergency response, the technical operational procedures for HSR seismic emergency response are proposed. The quantity, scale, and location of HSR earthquake emergency response mechanism are defined, and the corresponding emergency response system is built. In particular, the earthquake emergency response system can conduct real-time continuous dynamic monitoring of seismic activity along the railway. When earthquake occurs, the intensity of the ground motion is detected by the system. When the earthquake monitoring value reaches the earthquake alarm threshold, it will send an alarm signal to the dispatch center, and the emergency power supply will be forced to cut off. The earthquake emergency response system will continue to monitor the follow-up ground motion acceleration. The system provides the operation scheduling center with a basis for train operation control to resume operation after stopping. The monitoring result of the system reduces the disaster, and the secondary disaster is caused by the earthquake. This paper improves the HSR response mechanism in detecting earthquake disasters. The result improves the ability of HSR to deal with earthquake disasters, and reduces casualties and economic and property loss caused by earthquake disasters.

关键词： high-speed railway(HSR) earthquake monitoring emergency response mechanism

Decision-making method for high-speed rail early warning system in complex earthquake situations

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Transportation Safety and Environment 2024年第3期6卷 47-61页

作者： Minjia Tan qizhou hu Yikai Wu Juanjuan Lin Xin Fang School of Automation Nanjing University of Science and TechnologyNanjing 210094JiangsuChina

To address the shortcomings in decision-making methods for ground motion threshold warning models in high-speed rail earthquake early warning systems(HSREEWs),we propose a dual judgement method and corresponding early warning process for earthquake early warning decisions based on joint peak ground acceleration(PGA)and complex earthquake environmental risk evaluation(ERE)***,we analyse the characteristics of four complex earthquake environments based on the characteristics of high-speed rail(HSR)operating ***,we establish an earthquake environmental risk evaluation index system and propose an adversarial interpretive structure modelling method-based complex earthquake situation evaluation model(AISM-based ESEM).The AISM method firstly evaluates the proximity by the TOPSIS(technique for order preference by similarity to an ideal solution)method,then effectively rank targets with fuzzy attributes through opposite hierarchical extraction rules without sacrificing system *** PGA can reflect the current size of earthquake energy,combining PGA thresholds with ESEM-derived values of ERE can effectively determine the risk status of each train and make decisions on the most appropriate alarm form and control measures for that ***,case analysis results under the background of Wenchuan Earthquake show that the new early warning decisionmaking method accurately assesses environmental risks in affected areas and provides corresponding warning levels as a supplement to existing HSREEWs warning models.

关键词： high-speed rail(HSR) earthquake situation earthquake risk decision-making earthquake early warning

Order Exponential Evaluation Model for Road Traffic Safety in City Clusters

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Journal of Harbin Institute of Technology(New Series) 2021年第1期28卷 53-61页

作者： qizhou hu S.C.Wong Y.C.Li Minjia Tan School of Automation Nanjing University of Science and TechnologyNanjing 210094China Department of Civil Engineering The University of Hong KongHong Kong 999077China

This study presents an order exponential model for estimating road traffic safety in city *** proposed model introduces the traffic flow intrinsic properties and uses the characteristics and regular patterns of traffic development to identify road traffic safety levels in city ***,an evaluation index system of city cluster road traffic safety was constructed based on the spatial and temporal *** Order Exponential Evaluation Model(OEEM),a comprehensive model using order exponent function for road traffic safety evaluation,was put forward,which considers the main characteristics and the generation process of traffic *** model effectively controlled the unsafe behavior of the traffic *** could define the levels of city cluster road traffic safety and dynamically detect road safety *** proposed model was verified with statistical data from three Chinese city clusters by comparing the common model for road traffic safety with an ideal *** results indicate that the order exponent approach undertaken in this study can be extended and applied to other research topics and fields.

关键词： city cluster road traffic safety evaluation model order exponential function

基于混合Logit模型的旅客对短途高速铁路列车选择行为

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中国铁道科学 2021年第2期42卷 183-192页

作者：程谦杨光胡启洲南京铁道职业技术学院运输管理学院江苏南京210031 中国铁路上海局集团公司上海客运段上海200071 南京理工大学自动化学院江苏南京210094

以南京到上海和南京到杭州的短途高速铁路客流为背景,应用行为调查法与意向调查法开展客流调查,获取客流数据。基于选择行为理论,以旅客对列车的选择作为因变量,旅客个体特征、出行特征、列车服务水平作为自变量,基于多项式Logit模型构... 详细信息

以南京到上海和南京到杭州的短途高速铁路客流为背景,应用行为调查法与意向调查法开展客流调查,获取客流数据。基于选择行为理论,以旅客对列车的选择作为因变量,旅客个体特征、出行特征、列车服务水平作为自变量,基于多项式Logit模型构建混合Logit模型,拟合客流调查数据。结果表明:混合Logit模型的拟合优度高于多项式Logit模型;出发时间是影响旅客选择行为的关键因素,77%的旅客偏好选择6:00—7:00出发列车,仅有10%的旅客偏好选择20:00—21:00出发列车;列车旅行时间、票价水平与旅客对列车的选择行为负相关;女性、50岁以上、学生、低收入、自费购票等类的旅客对票价敏感度较高;公务人员及企业职员偏好选择8:00—11:00开行的列车,休闲出行旅客偏好选择8:00—11:00及14:00—17:00开行的列车;行前接驳选择自驾换乘的旅客,偏好选择5:00—8:00开行的列车;旅客对6:00-10:00开行列车的支付意愿最高,对17:00—22:00开行列车的支付意愿最低。

关键词：短途高速铁路客流交通出行选择旅客偏好混合Logit模型多项式Logit模型

Projection pursuit model of vehicle emission on air pollution at intersections based on the improved bat algorithm

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Journal of Southeast University(English Edition) 2019年第3期35卷 389-392页

作者： hu qizhou Deng Wei Tan Minjia Bian Lishuang School of Automation Nanjing University of Science and TechnologyNanjing 210094China School of Transportation Southeast UniversityNanjing 210096China

The projection pursuit model is used to study the assessment of air pollution caused by vehicle emissions at intersections. Based on the analysis of the characteristics and regularities of vehicle emissions at intersections, a vehicle emission model based on projection pursuit is established, and the bat algorithm is used to solve the optimization function. The research results show that the projection pursuit model can not only measure the air pollution of vehicle emissions at intersections, but also effectively evaluate the level of vehicle exhaust emissions at intersections. Taking the air pollution caused by vehicle emissions at intersections as the research object and considering the influence factors of vehicle emissions on air pollution comprehensively, the evaluation index system of vehicle emissions at intersections on air pollution is constructed. Based on large data analysis, a prediction model of air pollution caused by vehicle emissions at intersections is constructed, and an improved bat algorithm is used to realize the assessment process. The application results show that the prediction model of vehicle emissions at intersections can define the degree of air pollution caused by vehicle emissions, and it has good guiding significance and practical value for solving the problem of air pollution caused by vehicle emissions.

关键词： intersection vehicle emission pollutants projection pursuit bat algorithm

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基于四维消耗的公交线网优化模型及蚁群算法

东南大学学报（自然科学版） 2008年第2期38卷 304-308页

作者：胡启洲邓卫田新现东南大学交通学院南京210096 平顶山教育学院平顶山467000

针对城市公交线网的优化问题,应用四维消耗概念进行了综合研究,给出了公交线网优化的多目标线性规划模型及蚁群算法.在定义时间、空间、环境、能源等四维消耗概念的基础上,从点、线、面3个方面对公交线网优化问题进行研究.在考虑效益最... 详细信息

针对城市公交线网的优化问题,应用四维消耗概念进行了综合研究,给出了公交线网优化的多目标线性规划模型及蚁群算法.在定义时间、空间、环境、能源等四维消耗概念的基础上,从点、线、面3个方面对公交线网优化问题进行研究.在考虑效益最大化、成本最小化、发展可持续化的情况下,利用效用函数建立了公交线网优化的多目标线性规划模型.并用蚁群算法对多目标线性规划模型求解,得到最佳的公交线路网络布局结构和公交线网运营效率.实例表明,利用蚁群算法优化后公交线网利用率增大、可达性良好、乘客出行时间减少,优化结果符合城市交通的实际情况,该方法合理可行.

关键词：交通工程线网优化蚁群算法四维消耗

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城市道路车辆排放对大气污染的线性诊断模型

东南大学学报（自然科学版） 2018年第5期48卷 967-971页

作者：胡启洲邓卫李晓菡南京理工大学自动化学院南京210094 东南大学交通学院南京210096

为了评价车辆排放对大气污染的污染程度,提出了一种诊断模型.通过在不同路段诊断车辆排放强度,构建车辆排放强度的函数式,探索车辆运行状况下车辆排放具有的时空相关性.并在此基础上,获得机动车各种排放污染物的单车排放因子,构建不同... 详细信息

为了评价车辆排放对大气污染的污染程度,提出了一种诊断模型.通过在不同路段诊断车辆排放强度,构建车辆排放强度的函数式,探索车辆运行状况下车辆排放具有的时空相关性.并在此基础上,获得机动车各种排放污染物的单车排放因子,构建不同道路类型上不同车辆排放诊断模型;并在分析机动车排放特性和规律基础上,建立不同道路环境下机动车排放的函数关系式,提出车辆排放对大气污染的线性诊断模型.应用结果表明:在同等条件下,快速路、主干道、次干道和支路中,支路的污染最严重;重型、中型、轻型和微型等不同车型排放差别较大,即使同一车型在不同速度下排放量也不同,速度越大,污染物排放量越小;对车辆尾气排放程度的有效评估后,可进行大数据分析,利用Matlab软件实现车辆排放过程监测; 4个车辆排放检测样本的有效误差为1. 16%,1. 35%,2. 20%和0. 80%,说明该模型误差小和具有较好的实用价值.

关键词：车辆排放污染物诊断模型线性函数

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车辆排放对大气污染的综合测度模型

东南大学学报（自然科学版） 2016年第4期46卷 884-887页

作者：胡启洲吴鹏邓卫诸云南京理工大学自动化学院南京210094 东南大学交通学院南京210096

利用功效函数研究车辆排放对大气污染的测定问题.通过在不同地点测定车辆排放强度,构建车辆排放强度之间的关联函数式,探索交通运行状况下车辆排放具有的时空相关性.在此基础上,获得机动车各种排放污染物的单车排放因子,构建车辆排放诊... 详细信息

利用功效函数研究车辆排放对大气污染的测定问题.通过在不同地点测定车辆排放强度,构建车辆排放强度之间的关联函数式,探索交通运行状况下车辆排放具有的时空相关性.在此基础上,获得机动车各种排放污染物的单车排放因子,构建车辆排放诊断方法.并在分析机动车排放特性和规律的基础上,构建车辆排放的测度指标体系,建立基于功效函数的机动车排放综合测度模型,提出车辆排放的测度方法.应用结果表明,该模型不但能够界定车辆排放对大气污染的评估问题,而且能有效评估汽车尾气排放水平,并对解决车辆排放对大气污染的治理问题有较好的指导意义和实用价值.

关键词：车辆排放污染物测度模型功效函数