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The use of the risk matrix method for assessing the risk of implementing rail freight services 运用风险矩阵法评估实施铁路货运服务的风险
Q2 Engineering Pub Date : 2022-12-31 DOI: 10.5604/01.3001.0016.1185
Lucyna Szaciłło, M. Krześniak, Dobromir Jasiński, D. Valis
The article presents a proposal for the use of a risk matrix for assessing the safety of the implementation of rail freight transport. The starting point for considerations related to risk assessment is the conditions arising from the business need and the obligation of entities operating in the railway market to ensure the safety of the implementation of freight tasks. The authors presented selected literature within the framework of the issues discussed. The layers of risk assessment, which include the analytical layer, the decision layer and the elimination layer, indicate the possibility of considering the problem of risk assessment from different perspectives. The identification of direct causes and consequences of undesirable events during the implementation of rail freight transport was also made. The article describes one of the methods of risk management which is the risk matrix. The authors stressed that the construction of a risk matrix should be preceded by an analysis of the factors that affect the safety of rail transportation. This is possible by determining their probability of occurrence and setting values for the consequences of adverse events. The article divides the assignment of levels of adverse events to a five-level risk matrix (slight, low, medium, high, very high). Also presented is a case study considering the risk assessment of rail freight transport in Poland using the risk matrix method for railway accidents in the area of railway lines. Thanks to the development of the risk matrix, a risk management strategy can be used. The last part of the article is a summary, which highlights the possibility of applying the presented approach to risk assessment among entities operating in the rail transport market.
本文提出了使用风险矩阵来评估铁路货物运输实施的安全性的建议。与风险评估有关的考虑的出发点是由于业务需要和在铁路市场上运营的实体有义务确保货运任务的安全执行而产生的条件。作者在讨论的问题框架内提出了选定的文献。风险评估的层次包括分析层、决策层和消除层,表明了从不同角度考虑风险评估问题的可能性。对铁路货物运输实施过程中不良事件的直接原因和后果进行了识别。本文介绍了风险管理的一种方法——风险矩阵。作者强调,在构建风险矩阵之前,应对影响轨道交通安全的因素进行分析。这可以通过确定它们发生的概率和为不良事件的后果设定值来实现。文章将不良事件的级别划分为5级风险矩阵(轻微、低、中、高、非常高)。还提出了一个案例研究,考虑波兰铁路货运的风险评估,使用风险矩阵法对铁路线路区域的铁路事故进行评估。由于风险矩阵的发展,可以使用风险管理策略。文章的最后一部分是总结,强调了在铁路运输市场中运营的实体之间应用所提出的方法进行风险评估的可能性。
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引用次数: 3
Modelling the acoustic signature and noise propagation of high speed railway vehicle 高速铁路车辆声特征及噪声传播建模
Q2 Engineering Pub Date : 2022-12-31 DOI: 10.5604/01.3001.0016.1051
K. Polak, Jarosław Korzeb
The proportion of high speed railway vehicles in the rolling stock of national carriers providing public transport services is constantly increasing. Currently, Alstom vehicles run at the highest speed on railway lines in Poland. The paper attempts to identify the acoustic signature of high speed railway vehicles. There are many works and studies aimed at identifying or defining the acoustic signature of high speed railway vehicles. However, the authors of these works carried out their research in a rather narrow scope, i.e. the measurement cross-section had only 1 or 2 measure-ment points with one microphone at each point. As part of the conducted experimental research, the location of testing grounds was determined, the measurement apparatus was selected and the methodology for carrying out measurements including the assessment of noise emission on curve and straight line were specified for electric multiple units. The object of the tests were railway vehicles of Alstom company, type ETR610, series ED250, the so-called Pendolino, moving on a selected measuring route without stops at a speed of 200 km/h. Measurements were carried out on the railway line no. 4 Grodzisk Mazowiecki – Zawiercie, section Grodzisk Mazowiecki - Idzikowice at kilometre 18+600 (curve) and 21+300 (straight section). When measuring the acoustic signals with a microphone array (4x2), 8 meas-urement microphones operating in the audible range were used. The microphones were placed at a distance of 5 m, 10 m, 20 m and 40 m from the track centre, at a height of 4 m (from the rail head) and at the rail head (approx. 0.8 m from the ground surface). In addition, an acoustic camera with 112 directional microphones was used to locate the main noise sources, which was located at a distance of approximately 20 m from the track centreline. The identification of the main noise sources for high speed railway vehicles, basig on actual acoustic measurements, made it possible to isolate the dominant noise sources, as well as to find out the amplitude-frequency characteristics in the range from 20 Hz to 20 kHz, divided into one third octave bands.
高速铁路车辆在提供公共交通服务的国家航空公司机车车辆中的比例不断增加。目前,阿尔斯通车辆在波兰铁路线上以最高速度运行。本文试图识别高速铁路车辆的声学特征。有许多工作和研究旨在识别或定义高速铁路车辆的声学特征。然而,这些工作的作者在相当狭窄的范围内进行了研究,即测量截面只有1或2个测量点,每个点都有一个麦克风。作为所进行的实验研究的一部分,确定了试验场的位置,选择了测量设备,并规定了电动动车组的测量方法,包括评估曲线和直线上的噪声排放。试验对象是阿尔斯通公司的铁路车辆,ETR610型,ED250系列,即所谓的Pendolino,在选定的测量路线上以200km/h的速度不停地行驶。对4号铁路线Grodzisk Mazowiecki至Zawiercie、Grodziisk Mazowieki至Idzikowice段18+600公里(曲线)和21+300公里(直线段)进行了测量。当使用麦克风阵列(4x2)测量声学信号时,使用了在可听范围内工作的8个测量麦克风。麦克风分别放置在距离轨道中心5米、10米、20米和40米的位置,高度为4米(距离轨头)和轨头(距离地面约0.8米)。此外,还使用了一台带有112个定向麦克风的声学摄像机来定位主要噪声源,该噪声源位于距离轨道中心线约20m的位置。根据实际声学测量,识别高速铁路车辆的主要噪声源,可以隔离主要噪声源并找出20 Hz至20 kHz范围内的幅频特性,分为三分之一倍频程。
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引用次数: 1
Assessment of ship manoeuvring safety in waterway systems by relative navigational risk 用相对航行风险评价水路系统船舶操纵安全
Q2 Engineering Pub Date : 2022-12-31 DOI: 10.5604/01.3001.0016.1230
S. Gucma, W. Ślączka, A. Bąk
The safety of vessels navigating in the sea waterway system is ensured by fulfilling the acceptable restrictions called safe ship operation conditions in that system. The assessment of navigation safety is particularly important when the conditions for safe operation of ships in the waterway system are changed concerns increasing the maximum parameters of vessels, increasing the allowable hydrometeorological conditions or changing the minimum tug assistance. The article presents a method for assessing navigation safety when the conditions for the safe operation of vessels in the waterway system get changed. The method uses two indicators, which are difference in navigation risks and relative navigation risk. To determine the navigational risk, algorithms were developed for calculating the probability of accidents caused by the deterioration of navigation conditions and technical failure of ship equipment and tugs. Another algorithm was developed for calculating the consequences of the accidents that involve blocking a waterway by a ship anchoring in an emergency, grounding, impact of the ship against a port structure or moored ship and a collision with another ship in motion. The method developed for assessing navigation safety by means of relative navigation risk can be used in practice when changing the conditions for safe operation of vessels in the waterway system and when the system is modernized. Navigational safety management is a decision process that is implemented in the loop presented in the article. The acceptable risk is determined on the basis of vessel traffic intensity and ship parameters defined by safe operation conditions for a given waterway system. Relative navigational risk may be used in assessment and comparison of various conditions of safe ship operation. The probability of an accident caused by ship's moving outside the available navigable area due to technical failures of ship equipment or tugs is determined, depending on the type of port waterway and the manoeuvres performed.
船舶在海上航道系统中的航行安全是通过满足该系统中可接受的船舶安全操作条件来保证的。当船舶在水路系统中安全运行的条件发生变化,包括增加船舶的最大参数、增加允许的水文气象条件或改变最小拖轮辅助时,航行安全评估就显得尤为重要。本文提出了航道系统中船舶安全运行条件发生变化时的航行安全评估方法。该方法采用导航风险差异和相对导航风险两个指标。为了确定航行风险,开发了计算船舶设备和拖船因航行条件恶化和技术故障而导致事故概率的算法。另一种算法用于计算事故的后果,包括船舶在紧急情况下锚泊阻塞水道,搁浅,船舶与港口结构或系泊船舶的碰撞以及与另一艘正在行驶的船舶的碰撞。本文提出的以相对航行风险评价船舶航行安全的方法,在航道系统船舶安全运行条件发生变化和航道系统现代化的实际应用中具有一定的应用价值。导航安全管理是一个决策过程,在本文中介绍的循环中实现。可接受风险是根据给定航道系统安全运行条件所规定的船舶交通强度和船舶参数来确定的。相对航行风险可用于评估和比较船舶安全运行的各种条件。由于船舶设备或拖轮的技术故障导致船舶驶出可用通航区域而发生事故的概率,根据港口航道的类型和所进行的操纵来确定。
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引用次数: 2
The optimum strategy for mode choice modelling of interregional fish transport considering shippers' heterogeneity 考虑货主异质性的区域间鱼类运输模式选择模型的最优策略
Q2 Engineering Pub Date : 2022-12-31 DOI: 10.5604/01.3001.0016.1046
Ansu V., Anjaneyulu M.V.L.R.
The determinants of mode choice of interregional transport of fish, which is highly perishable, vastly differ from that of other commodities. These determinants are to be identified to improve transport efficiency. A questionnaire survey of shippers is used to collect the data. Highly correlated observed variables are combined to form four latent factors by factor analysis to reduce the errors in modelling. Logical relations among the component variables of latent factors are perceived, and mathematical formulations are used to estimate new variables. It is found that transportation costs and shipment weight contributes to factor 1, while distance contributes to factor 2. However, transportation costs are associated with distance and shipment weight. Thus, the variable, transportation cost per q-km, is estimated. Survey respondents' attitudes are also incorporated into modelling by including qualitative factors obtained by the factor analysis of shippers' preference ratings. A latent class analysis confirmed the existence of heterogeneity among ship-pers. Misrepresentations of effects occur in modelling if the heterogeneity in the data is not considered. No studies have found the best combination of observed variables, latent factors, estimated variables, and qualitative factors, consider-ing shippers' heterogeneity in freight mode choice. Hence, this study is done to find the optimum modelling strategy. Modelling revealed that models built with estimated variables outperformed those built with latent factors. Including qualitative factors along with observed variables and estimated variables showed further improvement. However, the model that includes observed variables, estimated variables, and qualitative factors considering shippers' heterogenei-ty is the best. It was found that the mode selection behaviour of different latent classes of shippers is distinct. A mode shift from road to rail could be achieved by lowering transportation costs and increasing speed, reliability, and safety for fish transport. Expanding roll on–roll off facilities, dedicated freight corridors, parcel trains, refrigerated contain-ers, and piecemeal service by rail promote a mode shift from road to rail and reduce energy usage.
区域间鱼类运输方式选择的决定因素与其他商品有很大不同,鱼类极易腐烂。要确定这些决定因素,以提高运输效率。通过对托运人的问卷调查来收集数据。通过因子分析,将高度相关的观测变量组合成四个潜在因素,以减少建模中的误差。感知潜在因素的组成变量之间的逻辑关系,并使用数学公式来估计新的变量。研究发现,运输成本和运输重量对因子1有贡献,而距离对因子2有贡献。然而,运输成本与距离和运输重量有关。因此,估计了变量,即每q公里的运输成本。调查对象的态度也被纳入模型,包括通过托运人偏好评级的因素分析获得的定性因素。潜在类别分析证实了船舶乘客之间存在异质性。如果不考虑数据的异质性,则在建模中会出现效应的错误表示。没有研究发现观察变量、潜在因素、估计变量和定性因素的最佳组合,考虑托运人在货运模式选择中的异质性。因此,本研究旨在寻找最佳建模策略。建模表明,用估计变量建立的模型优于用潜在因素建立的模型。包括定性因素以及观察变量和估计变量显示出进一步的改进。然而,考虑到托运人的异质性,包括观察变量、估计变量和定性因素的模型是最好的。研究发现,不同潜在类别托运人的模式选择行为是不同的。通过降低运输成本,提高鱼类运输的速度、可靠性和安全性,可以实现从公路到铁路的模式转变。扩大滚装-滚装设施、专用货运走廊、包裹列车、冷藏集装箱和铁路零散服务,促进了从公路到铁路的模式转变,并减少了能源使用。
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引用次数: 0
Research on the site selection and path layout of the logistics distribution center of marine ships based on a mathematical model 基于数学模型的船舶物流配送中心选址与路径布局研究
Q2 Engineering Pub Date : 2022-09-30 DOI: 10.5604/01.3001.0015.9925
Haolin Tong
For logistics enterprises, site selection and path layout are related to the cost and efficiency of distribution, which is a very critical issue and has an important impact on the development of enterprises. Compared with land logistics, the cost of marine ship logistics is higher due to the high cost of ships, so the research on the location and path layout of its distribution centers is also particularly important. This paper established a two-layer model under the assumption that unit transportation costs and administration expenses are known for the site selection and path layout problems of marine ship logistics distribution centers. Corresponding constraint conditions were set. The upper layer was the optimization model of the site selection problem of the distribution center, and the objective function was to minimize operating and construction costs and was solved using the quantum particle swarm optimization (QPSO) algorithm. The lower layer was the optimization model of the distribution path layout, and the objective function was to minimize the logistics distribution cost and was solved using the ant colony optimization (ACO) algorithm. The model was veri-fied through an example analysis. It was assumed that there were three ships, five candidate distribution centers, and ten customer points. The model was solved in MATLAB software. The results of the example analysis showed that com-pared with K-means, genetic algorithm (GA), and particle swarm optimization (PSO)-ACO algorithms, the QPSO-ACO algorithm had the shortest running time, about 60 s, which saved about 50% compared to the K-means algorithm. The optimal cost of the QPSO-ACO algorithm was 293,400 yuan, which was significantly lower than the K-means, GA, and PSO-ACO algorithms (459,600 yuan, 398,300 yuan, and 357,700 yuan). In this example, the site obtained by the QPSO-ACO algorithm was distribution center 2, and the obtained path distribution was 1-7-5-4, 2-6-3, and 10-8-9. The results verify the effectiveness of the QPSO-ACO algorithm in solving the problem of site selection and path layout. The QPSO-ACO algorithm can be applied in the actual marine ship logistics.
对于物流企业来说,选址和路径布局关系到配送的成本和效率,是一个非常关键的问题,对企业的发展有着重要的影响。与陆地物流相比,由于船舶成本较高,海运物流的成本较高,因此对其配送中心的选址和路径布局的研究也显得尤为重要。本文在单位运输成本和管理费用已知的前提下,建立了船舶物流配送中心选址和路径布局问题的两层模型。设置相应的约束条件。上层为配送中心选址问题的优化模型,以运营成本和建设成本最小为目标函数,采用量子粒子群优化算法求解。下层为配送路径布局优化模型,目标函数为物流配送成本最小,采用蚁群优化算法求解。通过算例分析验证了模型的正确性。假设有三艘船,五个候选配送中心和十个客户点。在MATLAB软件中对模型进行了求解。算例分析结果表明,与K-means、遗传算法(GA)和粒子群优化(PSO)-ACO算法相比,QPSO-ACO算法运行时间最短,约为60 s,比K-means算法节省约50%的时间。QPSO-ACO算法的最优成本为29.34万元,显著低于K-means、GA和PSO-ACO算法(45.96万元、39.83万元、35.77万元)。本例中,QPSO-ACO算法得到的站点为配送中心2,得到的路径分布为1-7-5-4、2-6-3和10-8-9。结果验证了QPSO-ACO算法在解决选址和路径布局问题上的有效性。QPSO-ACO算法可以应用于实际的船舶物流。
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引用次数: 1
Fuel Saving Indeks Assessment on Driving Behavior Control System Prototype Model Using Neural Network 基于神经网络的驾驶行为控制系统原型模型节油指标评估
Q2 Engineering Pub Date : 2022-09-30 DOI: 10.5604/01.3001.0016.0019
S. Munahar, A. Triwiyatno, M. Munadi, J. Setiawan
Efficient fuel consumption in the world is essential in automotive technology development due to the increase in vehicle usage and the decrease in global oil production. Several studies have been conducted to increase fuel consumption savings, Fuel Cells (FCs), the application of alternative energy vehicles and the Engine Control Unit (ECU) system. FCs do not require oil energy to propel the vehicle, so this technology promises to reduce energy consumption and emissions. However, this research still leaves problems. FCs are susceptible to short circuit hazards, and ownership costs are very high. Alternative energy applications produce less power, less responsive acceleration, and insufficient energy sources to enter mass production. The ECU application still has an orientation toward achieving stoichiometry values, so the increase in fuel efficiency has the potential to be improved. Driving behavior is a variable that has a close relationship with fuel consumption efficiency. However, research on driving behavior is only studied for implementation in autonomous car-following technologies, safety systems, charging needs characteristic of electric vehicles, emission controls, and display images on in-vehicle information systems. Meanwhile, research on driving behavior as a control system to improve fuel efficiency has not been carried out. To that end, this study proposes the use of driving behavior for a newly designed control system to improve fuel efficiency. The control system in this research is a prototype model to be assessed using the Fuel Saving Index (FSI) analysis. An artificial neural network is used to help the recognition of driving behavior. The results showed that the newly designed control system was categorized on scale IV of FSI. On this scale, the power generated by the engine is quite optimal when it is in the eco-scheme driving behavior. The driving behavior control system can significantly improve the efficiency of fuel consumption. Air to Fuel Ratio (AFR) is achieved above the stoichiometric value
由于汽车使用量的增加和全球石油产量的减少,世界上有效的燃料消耗对汽车技术的发展至关重要。已经进行了几项研究,以增加燃料消耗节约,燃料电池(fc),替代能源汽车的应用和发动机控制单元(ECU)系统。燃料电池汽车不需要石油能源来驱动汽车,因此这项技术有望减少能源消耗和排放。然而,这项研究仍然存在一些问题。fc容易出现短路危险,而且拥有成本非常高。替代能源应用产生的功率更小,加速反应更慢,而且能源不足,无法进入大规模生产。ECU的应用仍然以达到化学计量值为导向,因此燃油效率的提高有可能得到改善。驾驶行为是一个与油耗效率关系密切的变量。然而,对驾驶行为的研究仅针对自动跟随汽车技术、安全系统、电动汽车充电需求特性、排放控制、车载信息系统显示图像等方面的实现。同时,将驾驶行为作为提高燃油效率的控制系统的研究尚未开展。为此,本研究提出将驾驶行为用于新设计的控制系统,以提高燃油效率。本研究中的控制系统是一个原型模型,将使用燃油节约指数(Fuel Saving Index, FSI)分析进行评估。使用人工神经网络来帮助识别驾驶行为。结果表明,新设计的控制系统符合FSI量表IV。在此尺度下,在生态方案驾驶行为下,发动机产生的功率是相当理想的。驾驶行为控制系统能显著提高汽车的油耗效率。空气燃料比(AFR)达到高于化学计量值
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引用次数: 0
Model of operational planning of freight transportation by tram as part of a green logistics system 作为绿色物流系统一部分的有轨电车货运运营规划模型
Q2 Engineering Pub Date : 2022-09-30 DOI: 10.5604/01.3001.0015.9929
N. Shramenko, A. Merkisz-Guranowska, Marcin Kiciński, V. Shramenko
The introduction of environmentally friendly technologies is becoming increasingly necessary to combat global warm-ing and air pollution in cities. The concept of eco-logistics is seen as an effective approach to the management of materials and related flows in order to reduce environmental and economic damage to the environment. The sustaina-ble development of green supply chains is based on the use of environmentally friendly types of vehicles, reduction of energy and other resources consumption, optimization of transport and technological processes in delivery systems. As part of the development of green supply chain, it is proposed to transport goods by freight trams, which eliminates the need for heavy trucks in the city, improves traffic conditions and reduces the environmental impact of transport. The research was conducted for the city of Poznan. The distribution system of the city of Poznan operates in conditions of stochastic demand for deliveries from clients and the risk of lack of sufficient supplies in distribution centers. To take into account the specificity of the distribution system of cargo delivery in conditions of uncertainty and risk, a simula-tion model of the organization of the material flows within the transport system of the city of Poznan has been pro-posed. The result of simulation is the optimal assignment of clients to the distribution centers, as well as the value of total mileage with the load, which is a random variable. It is assumed that the random variable is distributed according to the normal distribution law. The results were calculated and compared for two variants, i.e. for constant demand and sufficient quantity of cargo in distribution centers, and for variable demand and uncertainty conditions, e.g. insuffi-cient cargo quantity in distribution centers. The purpose of the paper is to develop a simulation model for planning supplies of small consignments of goods by trams implementing green logistics concept with variable demand for transportation. After a short introduction of the problem, the literature review related to the concept of green logistics and requirements of transport and distribution system are presented in section 2. In section 3, the research problem and research methodology are described. Section 4 provides the results of assignment of clients to distribution centers. The paper ends with concluding remarks.
为了应对全球变暖和城市空气污染,引入环保技术变得越来越必要。生态物流的概念被视为管理材料和相关流动的有效方法,以减少对环境的环境和经济损害。绿色供应链的可持续发展是基于使用环保型车辆、减少能源和其他资源消耗、优化运输和交付系统的技术流程。作为绿色供应链发展的一部分,建议通过货运有轨电车运输货物,这消除了城市对重型卡车的需求,改善了交通条件,减少了运输对环境的影响。这项研究是在波兹南市进行的。波兹南市的配送系统在客户对配送的随机需求和配送中心供应不足的风险下运行。考虑到货物配送系统在不确定性和风险条件下的特殊性,提出了波兹南市运输系统内物流组织的模拟模型。模拟的结果是客户到配送中心的最佳分配,以及负载下的总里程值,这是一个随机变量。假设随机变量是按照正态分布规律分布的。计算并比较了两种变体的结果,即配送中心的恒定需求和充足的货物数量,以及可变需求和不确定性条件,例如配送中心的货物数量不足。本文的目的是开发一个模拟模型,用于有轨电车在运输需求可变的情况下实施绿色物流概念,规划小批量货物的供应。在简要介绍了这个问题后,第2节介绍了与绿色物流概念和运输配送系统要求相关的文献综述。第三部分介绍了研究问题和研究方法。第4节提供了将客户分配到配送中心的结果。论文以结束语结尾。
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引用次数: 1
A Study on Two-stage Selection Model of Tourism Destination at the Scale of Urban Agglomerations 城市群规模下旅游目的地的两阶段选择模型研究
Q2 Engineering Pub Date : 2022-09-30 DOI: 10.5604/01.3001.0016.0020
J. Gao, Yongli Wang, Junchao Zhou
Considering that the demand of tourism destination is variable on the scale of urban agglomeration, the selection process of travel destination is divided into two stages. The traditional transportation combination model based on the multinomial Logit cannot reflect this characteristic. And it is the lack of consideration of the influence of travel distribution and the dynamic transfer of passenger flow between various transport routes. Therefore, this thesis established a combination model of travel demand distribution and transportation assignment with two-stage terminal selection characteristics based on the nested Logit. Based on the analysis of tourists' trip process on the scale of urban agglomeration, a tourist flow transport network with travel destination nest structure is constructed. The generalized cost impedance function of transportation route is constructed based on the direct cost of transportation mode and the indirect cost of travel time. Based on the characteristics of two-stage destination selection of tourists, the form of travel distribution function of tourist flow is given. Through the first-order optimization conditions, it proved that the volume of travel distribution and tourism passenger transport assignment can meet the two-stage equilibrium conditions in the equilibrium state. Based on the idea of MSA algorithm, it designed the solution algorithm of the model and verified the feasibility of the model and algorithm in a simplified example. The calculation results show that the two-stage equilibrium assignment model proposed in this paper can obtain the volume of travel distribution and transportation assignment at the same time, meanwhile compared with the multinomial logit model, the nested Logit structure fully considers the attraction measure of the city destination and the scenic spot destination, which is more in line with the choice behavior of the tourists when choosing the transportation route. Thus, it provides a new comparable method for the optimal allocation of tourism passenger flow transport network resources on the scale of urban agglomeration, and can provide data support for the transportation organization plans of government decision-making departments and tourism transport enterprises.
考虑到旅游目的地需求在城市群规模上是可变的,旅游目的地的选择过程分为两个阶段。传统的基于多项式Logit的运输组合模型不能反映这一特点。缺乏考虑出行分布的影响和各运输路线之间客流的动态转移。因此,本文建立了一个基于嵌套Logit的具有两阶段终端选择特征的出行需求分配和运输分配的组合模型。在分析城市群规模下游客出行过程的基础上,构建了具有旅游目的地嵌套结构的旅游流运输网络。基于运输方式的直接成本和旅行时间的间接成本,构造了运输路线的广义成本阻抗函数。根据旅游者两阶段目的地选择的特点,给出了旅游流的旅游分布函数形式。通过一阶优化条件,证明了在均衡状态下,旅行量分布和旅游客运分配能够满足两阶段均衡条件。基于MSA算法的思想,设计了模型的求解算法,并通过简化实例验证了模型和算法的可行性。计算结果表明,本文提出的两阶段均衡分配模型可以同时获得出行分配量和交通分配量,同时与多项式logit模型相比,嵌套logit结构充分考虑了城市目的地和景区目的地的吸引力测度,这更符合游客在选择交通路线时的选择行为。从而为城市群规模上旅游客流运输网络资源的优化配置提供了一种新的可比方法,可以为政府决策部门和旅游运输企业的运输组织规划提供数据支持。
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引用次数: 1
An analysis of influential factors associated with rural crashes in a developing country: A case study of Iran 发展中国家农村撞车相关影响因素分析:以伊朗为例
Q2 Engineering Pub Date : 2022-09-30 DOI: 10.5604/01.3001.0015.9927
Abbas Sheykhfard, F. Haghighi, Reza Abbasalipoor
Road traffic deaths continue to rise, reaching 1.35 million in recent years. Road traffic injuries are the eighth leading cause of death for people of all ages. Note that there is a wide difference in the crash rate between developed and developing countries and that developed countries report much lower crash rates than developing and underdeveloped countries. World Health Organization reports that over 80% of fatal road crashes occur in developing countries, while developed countries account for about 7% of the total. The rate of road crashes in developing countries is higher than the global average, despite some measures reducing deaths over the last decade. Numerous studies have been carried out on the safety of urban roads. However, comprehensive research evaluating influential factors associated with rural crashes in developing countries is still neglected. Therefore, it is crucial to understand how factors influence the severi-ty of rural road crashes. In the present study, rural roads in Mazandaran province were considered a case study. The Crash data collected from the Iranian Legal Medicine Organization covers 2018 to 2021, including 2047 rural crash-es. Dependent variables were classified as damage crashes and injury-fatal crashes. Besides, independent variables such as driver specifications, crash specifications, environment specifications, traffic specifications, and geometrical road specifications were considered parameters. The logit model data indicate that factors associated with driver and crash specifications influence rural crashes. The type of crashes is the most critical factor influencing the severity of crashes, on which the fatal rate depends. The findings suggested that implementing solutions that minimize the effect of the factors associated with injury and death on rural roads can reduce the severity of crashes on rural roads that share the same safety issues as the case study. Further studies can also be conducted on the safety and mechanics of the vehicle by focusing the research on the types of vehicles and the sources of the damage.
道路交通死亡人数继续上升,近年来达到135万。道路交通伤害是所有年龄段人群死亡的第八大原因。请注意,发达国家和发展中国家的碰撞率差异很大,发达国家报告的碰撞率远低于发展中国家和欠发达国家。世界卫生组织报告称,80%以上的致命车祸发生在发展中国家,而发达国家约占总数的7%。尽管在过去十年中采取了一些措施减少了死亡人数,但发展中国家的道路交通事故率高于全球平均水平。对城市道路安全进行了大量研究。然而,评估发展中国家农村车祸影响因素的综合研究仍然被忽视。因此,了解影响农村道路交通事故严重程度的因素至关重要。在本研究中,马赞德兰省的农村道路被视为一个案例研究。从伊朗法律医学组织收集的车祸数据涵盖2018年至2021年,包括2047起农村车祸。因变量被分类为损伤性碰撞和伤害致死性碰撞。此外,驾驶员规范、碰撞规范、环境规范、交通规范和道路几何规范等自变量也被视为参数。logit模型数据表明,与驾驶员和碰撞规范相关的因素会影响农村碰撞。车祸类型是影响车祸严重程度的最关键因素,致死率取决于此。研究结果表明,实施解决方案,最大限度地减少与伤亡相关的因素对农村道路的影响,可以降低与案例研究有相同安全问题的农村道路上发生车祸的严重程度。还可以通过重点研究车辆类型和损坏源,对车辆的安全性和力学进行进一步研究。
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引用次数: 0
Assessment of vehicle emissions at roundabouts: a comparative study of PEMS data and microscale emission model 环形交叉路口车辆排放评估:PEMS数据与微尺度排放模型的比较研究
Q2 Engineering Pub Date : 2022-09-30 DOI: 10.5604/01.3001.0015.9926
M. Mądziel, T. Campisi
Energy efficiency has a central role to play in achieving decarbonisation targets in the transport system by changing the demand for mobility (eg. by influencing on peoples behaviors) and improving the performance of the fleet. In recent years there has been an increase of use of private transport, partly due to the recent pandemic and the reduced choice of public transport. People's travel habits have changed in frequency and motivation due to the reduced number of seats on public transport, due to social distancing but also due to online education and teleworking. This increase of use private cars has led to an increase in environmental emissions as a result of the high proportion of vehicles with combustion engines in urban areas. The highest concentrations have been recorded at road intersections and in par-ticular at roundabout configurations where there is a higher number of stop-and-go's overall. The increasing im-portance of air pollution from vehicle traffic has suggested that environmental considerations should be added to these aspects as a criterion for intersection design. Several studies in the literature analyze the environmental emissions generated by vehicle traffic using different methods such as on-site recording, mathematical modeling of dispersion phenomena, micro-simulation of vehicle traffic, use of appropriately equipped vehicles with sensors. This paper pre-sents a comparison between the results obtained from the Portable Emission Measurement System (PEMS) and the results obtained from the VERSIT+ emission model. Specifically, using a Portable Emission Measurement Systems (PEMS) installed on a series of test cars, instantaneous CO2 and NOX emissions were measured on repeated trips along two-lane roundabout intersections. The study was carried out by examining a selected two-lane roundabout in the city of Rzeszow (Poland) using 9 different vehicles fueled by petrol, diesel, and LPG. The results show that the investigated VERSIT+ emission model used led to an inaccuracies in the calculation of CO2 and NOx emissions. Furthermore, cur-rent micro-scale emission models may not estimate emissions of harmful exhaust components with sufficient accuracy due to the specificities of roundabout driving. Therefore, there is a strong demand for the development of new emission models, adapted to the driving behavior of drivers appropriate for different infrastructure objects such as roundabouts.
通过改变出行需求(例如影响人们的行为)和提高车队性能,能源效率在实现交通系统脱碳目标方面发挥着核心作用。近年来,私人交通的使用有所增加,部分原因是最近的疫情和公共交通的选择减少。由于公共交通工具座位减少、社交距离以及在线教育和远程工作,人们的出行习惯在频率和动机上都发生了变化。私家车使用量的增加导致了环境排放的增加,这是由于城市地区使用内燃机的车辆比例很高。最高的浓度记录在道路交叉口,尤其是环形交叉路口,那里的走走停停次数较多。车辆交通造成的空气污染日益严重,这表明应该在这些方面增加环境因素,作为十字路口设计的标准。文献中的几项研究使用不同的方法分析了车辆交通产生的环境排放,如现场记录、离散现象的数学建模、车辆交通的微观模拟、使用配备适当传感器的车辆。本文将便携式排放测量系统(PEMS)的结果与VERSIT+排放模型的结果进行了比较。具体而言,使用安装在一系列测试车上的便携式排放测量系统(PEMS),测量了沿双车道环形交叉口重复行驶时的瞬时CO2和NOX排放。这项研究是通过检查波兰Rzeszow市一个选定的双车道环岛进行的,使用了9种不同的汽油、柴油和液化石油气车辆。结果表明,所研究的VERSIT+排放模型导致CO2和NOx排放量的计算不准确。此外,由于环形交叉路口驾驶的特殊性,目前的微观排放模型可能无法足够准确地估计有害废气成分的排放量。因此,有强烈的需求开发新的排放模型,以适应驾驶员的驾驶行为,适合不同的基础设施对象,如环形交叉路口。
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引用次数: 3
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Archives of Transport
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