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Regional aviation for local development in the context of public funds investment 区域航空为地方发展背景下的公共资金投资
IF 0.7 Q2 Engineering Pub Date : 2022-03-01 DOI: 10.48295/et.2022.86.5
Stefan Chabiera
This article presents an analysis of the effectiveness of public support for the sustainable development of local communities. It contains a review of the literature on aviation relationships with local development and business models of regional carriers. Research includes a case study and a comparative analysis of this type of support in the EU environment. Therefore, the collected data came from own research and information provided by the European Commission. The research question posed in the paper concerns the legitimacy and efficiency of this type of support in the context of the legal framework, case study and statistical European analyses. The results make it possible to draw conclusions with respect to reporting such public services, average costs, as well as differences in interpretations of state aid legislation in this area. The key contribution of the paper to the scholarly literature is efficiency assessment for this type of support and identification of weaknesses in the data published by the European Commission on PSO. The summary presents recommendations for decision-makers and potential directions for further research.
本文对公众支持地方社区可持续发展的有效性进行了分析。它包含了对航空关系与地方发展和区域运营商的商业模式的文献综述。研究包括案例研究和欧盟环境下这种支持的比较分析。因此,收集的数据来自于自己的研究和欧盟委员会提供的信息。本文提出的研究问题涉及在法律框架、案例研究和欧洲统计分析的背景下这种支助的合法性和效率。这些结果使我们能够就这些公共服务的报告、平均费用以及对这一领域国家援助立法的不同解释得出结论。本文对学术文献的主要贡献是对这类支持的效率进行评估,并确定欧洲委员会关于PSO公布的数据中的弱点。摘要提出了对决策者的建议和进一步研究的潜在方向。
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引用次数: 0
Assessing the impacts of heavy vehicles on traffic characteristics of highways under mixed traffic platooning conditions 混合交通队列条件下重型车辆对公路交通特性的影响评价
IF 0.7 Q2 Engineering Pub Date : 2022-03-01 DOI: 10.48295/et.2022.86.3
Sandeep Singh
The study aims to investigate the impact of heavy vehicles (HVs) on traffic characteristics under platoon conditions on Indian highways. Traffic volume, speed, and time headway data were gathered from different highway sections using infra-red sensors. The mean relative speed criteria were used as an indicator of variability to estimate the critical time headway. The threshold value of a critical time headway of 4 sec was determined to represent vehicles into non-platoon followers and platoon followers. The speed-flow-density model curves were developed for two different traffic regimes, one without platoons and the other with platoons created by the HVs. The results show that under platoon conditions, the speed at capacity, density at capacity, and traffic capacity reduced by 11.2%, 12.5%, and 22.3%, respectively, compared to non-platoon conditions. Additionally, the average travel time and travel delay increased by 18.1 s/km and 12.7 s/km, respectively. The study’s findings emphasize the importance of considering platoon dynamics under the influence of HVs to better understand their impact on traffic characteristics.
该研究旨在调查重型车辆(HVs)对印度高速公路排条件下交通特性的影响。使用红外传感器收集不同路段的交通量、速度和车头时距数据。使用平均相对速度标准作为可变性指标来估计临界车头时距。确定了临界时距为4秒的阈值,将车辆分为非队列跟随者和队列跟随者。建立了两种不同交通模式下的速度-流量-密度模型曲线,一种是没有队列,另一种是由hv创建的队列。结果表明:与非排行相比,排行条件下的最大通行速度、最大通行密度和通行能力分别降低了11.2%、12.5%和22.3%;平均出行时间和出行延误分别增加了18.1 s/km和12.7 s/km。研究结果强调了考虑HVs影响下的队列动态的重要性,以更好地理解它们对交通特性的影响。
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引用次数: 2
Capacity utilization of the container terminal as multiphase service system 集装箱码头多相服务系统的容量利用
IF 0.7 Q2 Engineering Pub Date : 2022-03-01 DOI: 10.48295/et.2022.86.4
K. Babeli
A container terminal can be defined as a mass service system in which a multiphase service processes takes place. The terminal consists of three subsystems: quayside, yard and gate. In this paper, queuing theory as one of the operational research method is been used, to determine indicators of functioning the service system on the example of the container terminal of the port of Rijeka. Applying the queueing theory, the service phases that represent a bottleneck can be determined, as well as the phases in which the largest capacity surpluses are located. Finally, based on the current capacities the optimal turnover of the terminal was provided, without congestions and with the highest degree of terminal utilization. The basic conclusion is that the capacity of the system is limited by the capacity of the subsystem that has the smallest capacity, and in this case it is gate/truck and train operation area.
集装箱码头可以定义为一个多阶段服务过程发生的大规模服务系统。码头由三个子系统组成:码头、堆场和大门。本文以里耶卡港集装箱码头为例,运用运筹学方法之一的排队论,确定了服务系统运行的指标。应用排队理论,可以确定代表瓶颈的服务阶段,以及最大容量剩余所在的阶段。最后,在现有吞吐量的基础上,给出了无拥堵、码头利用率最高的码头最优周转量。得出的基本结论是,系统的容量受到容量最小的子系统的容量限制,在这种情况下是门/卡车和列车操作区域。
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引用次数: 0
Estimation of PCU Values for Urban Roads by Considering the Effect of Signalized Intersections under Mixed Traffic Conditions 混合交通条件下考虑信号交叉口影响的城市道路PCU值估算
IF 0.7 Q2 Engineering Pub Date : 2022-03-01 DOI: 10.48295/et.2022.86.6
Jithin Raj
Along with multiple classes of vehicles, frequent signalized intersections on the urban roads and the platoons thus created add complexity to the estimation of Passenger Car Units (PCU). Under such scenarios of interrupted traffic, a new approach based on platoon movement of vehicles is introduced for the realistic estimation of PCU values for urban roads by incorporating the appropriate vehicle behavior and interactions. The PCU values were derived by finding the trade-off between the speed reduction caused by the flow of passenger cars and other vehicle classes, as per the given definition by Transport Research Laboratory (TRL). However, the speed-flow, as well as the speed-density relations, were analyzed and found that later is preferred for the realistic estimation of PCUs for urban roads. The speed reduction is modeled using multiple linear regression with field data collected from typical urban roads characterized by platoon flow in Mumbai city (India).
随着车辆种类的多样化,城市道路上频繁的信号交叉口和由此产生的队列增加了乘用车单位(PCU)估计的复杂性。在这种交通中断的情况下,引入了一种基于车辆队列运动的新方法,通过结合适当的车辆行为和相互作用来真实地估计城市道路的PCU值。根据交通研究实验室(TRL)给出的定义,PCU值是通过寻找乘用车流量和其他车辆类别造成的速度降低之间的权衡得出的。然而,通过对速度-流量和速度-密度关系的分析发现,对于城市道路pcu的现实估计,后者是首选的。本文采用多元线性回归方法,对印度孟买典型城市道路排流特征的现场数据进行了建模。
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引用次数: 1
Adaptive Signal Control of an Isolated Intersection Using Stop-Line Detection 基于停止线检测的孤立交叉口自适应信号控制
IF 0.7 Q2 Engineering Pub Date : 2022-03-01 DOI: 10.48295/et.2022.86.1
S. Nuli
Adaptive traffic signal controllers offer better signal time management especially when the traffic flow pattern is not uniform on all approaches. Traditional adaptive traffic controller use upstream or advance vehicle detection which works well in situations where traffic follows good lane discipline. However, when the spacing between intersections increases or in the case of complex geometry these systems may not be efficient. This is primarily because of the inability of traffic flow models to accurately estimate the traffic demand from the upstream detectors. Using stop-line detector information is best suited in such traffic conditions as they do not require any explicit prediction models. Furthermore, there are many intersections which works using stop-line detectors with preset maximum green timings as vehicle actuated controllers. These controllers can be easily converted into truly adaptive by changing their maximum green timings continuously with respect to changing traffic flow pattern. Hence, this paper proposes an adaptive traffic control model which uses stop-line detector information instead of upstream detector. The model aims at real-time allocation of green time through reinforcement learning; an approach originated from the machine learning community. This approach has the ability to learn relationships between signal control actions and their effect on the queue while pursuing the goal of maximizing throughput which is a distinct improvement over the traditional vehicle actuated system. To demonstrate the performance of the proposed model a typical four-way intersection with four-phase scheme is evaluated for various flow conditions with the proposed model as well as with the traditional vehicle actuated system. The results show improvement over traditional system, especially when the flow is near the capacity.
自适应交通信号控制器提供了更好的信号时间管理,特别是在各种方法的交通流模式不均匀的情况下。传统的自适应交通控制器采用上游或超前的车辆检测方法,在交通遵循良好车道规则的情况下效果良好。然而,当交叉口间距增加或在复杂几何的情况下,这些系统可能不是有效的。这主要是因为交通流模型无法准确地估计来自上游检测器的交通需求。在不需要任何明确预测模型的交通条件下,使用停车线检测器信息是最合适的。此外,还有许多交叉口使用预设最大绿灯时间的停车线检测器作为车辆驱动控制器。这些控制器可以很容易地转换为真正的自适应,通过不断改变其最大绿灯时间相对于不断变化的交通流模式。为此,本文提出了一种使用停止线检测器信息代替上游检测器的自适应交通控制模型。该模型旨在通过强化学习实现绿色时间的实时分配;一种源自机器学习社区的方法。该方法具有学习信号控制动作之间的关系及其对队列的影响的能力,同时追求吞吐量最大化的目标,这是传统车辆驱动系统的一个明显改进。为了验证所提模型的性能,用所提模型和传统的车辆驱动系统对一个典型的四相四向交叉口进行了不同流量条件下的评估。结果表明,该系统比传统系统有很大的改进,特别是在流量接近容量时。
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引用次数: 0
Trip Generation for shopping malls in Developing Cities 发展中城市购物中心的出行生成
IF 0.7 Q2 Engineering Pub Date : 2022-03-01 DOI: 10.48295/et.2022.86.2
Sanu Meena
This study develops trip generation models for shopping malls in Mumbai, one of the fast-developing cities. A total of eighteen shopping malls are selected to develop trip generation models using regression analysis. The factors that found significant in weekdays and weekend trip attraction models include built-up area, number of screen and seats in multiplex, number of kiosk and stores, number of parking spaces and gross floor area. Based on the video data collected at two shopping malls, it was found that the peak period is from 6 PM to 9 PM. The findings of this study can be used analyze the impacts of newly constructed shopping malls and plan transportation infrastructure in and around a shopping mall.
本研究针对发展迅速的城市之一孟买的购物中心开发了旅游生成模型。选取18家购物中心进行回归分析,建立出行生成模型。在工作日和周末的旅游吸引力模型中发现显著的因素包括建筑面积、多厅影院的屏幕和座位数量、亭和商店数量、停车位数量和总建筑面积。根据在两家商场采集的视频数据,发现高峰时段是晚上6点到9点。本研究结果可用于分析新建购物中心的影响,并规划购物中心内及周边的交通基础设施。
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引用次数: 0
15-minute neighbourhood accessibility: a comparison between Naples and London 15分钟社区可达性:那不勒斯和伦敦的比较
IF 0.7 Q2 Engineering Pub Date : 2021-12-01 DOI: 10.48295/et.2021.85.5
F. Gaglione
The 15-minute city seems to represent a new way of looking at the city and responding to many current challenges, including climate change, aging population, and most recently Covid-19. However, if the 15-minute city idea is useful to guarantee an adequate supply of basic services, its basic principles cannot be adaptable to what we consider a city, especially to the big city. To this end, the paper considers the 15-minute city idea as an approach to be applied to the neighbourhood scale, in which the suitable supply of basic services and pedestrian paths and spaces allows to increase accessibility to places and the quality of life of the inhabitants. In this perspective, the work provides a methodology, based mainly on spatial analysis, aimed at defining 15-minute neighbourhoods by adopting a systemic approach. The methodology is tested on some suburbs located in the cities of Naples and London, whose different morphological, settlement and functional characteristics make them a significant experimentation test.
这个15分钟的城市似乎代表了一种看待城市和应对当前许多挑战的新方式,包括气候变化、人口老龄化以及最近的Covid-19。然而,如果15分钟的城市理念对于保证基本服务的充足供应是有用的,那么它的基本原则就不能适用于我们所认为的城市,特别是大城市。为此,本文将15分钟城市理念作为一种应用于社区尺度的方法,其中适当的基本服务和步行路径和空间的供应可以增加地方的可达性和居民的生活质量。从这个角度来看,这项工作提供了一种主要基于空间分析的方法,旨在通过采用系统方法来定义15分钟社区。该方法在那不勒斯和伦敦的一些郊区进行了测试,它们不同的形态、聚落和功能特征使它们成为一个重要的实验测试。
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引用次数: 4
Threshold value estimation of journey-distance using generalized polynomial function 基于广义多项式函数的行程距离阈值估计
IF 0.7 Q2 Engineering Pub Date : 2021-12-01 DOI: 10.48295/et.2021.84.3
Roy Subhojit
The present work demonstrates an experience in estimating the threshold value of journey distances travelled by transit passengers using generalized polynomial function. The threshold value of journey distances may be defined as that distance beyond which passengers might no more be interested to travel by their reported mode. A knowledge on this threshold value is realized to be useful to limit the upper-most slab of transit fare, while preparing of a length-based fare matrix table. Theoretically, the threshold value can be obtained at that point on the cumulative frequency distribution (CFD) curve of journey distances at which the maximum rate of change of the slope of curve occurs. In this work, the CFD curve of the journey distance values is empirically modelled using Newton’s Polynomial Interpolation method, which helps to overcome various challenges usually encountered while an assumption of a theoretical probability distribution is considered a priori for the CFD.
本研究展示了利用广义多项式函数估计过境旅客行程距离阈值的经验。旅程距离的阈值可以定义为超过该距离后,乘客可能不再有兴趣以其报告的方式旅行。在编制基于长度的票价矩阵表时,认识到这个阈值对于限制公交票价的最上层是有用的。理论上,在行程距离累积频率分布(CFD)曲线上斜率变化率最大的点处可获得阈值。本文采用牛顿多项式插值方法对行程距离值的CFD曲线进行了经验建模,克服了CFD中假设理论概率分布是先验的问题。
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引用次数: 0
Road users’ attitudes and perception on selected road safety issues – age-related comparison 道路使用者对若干道路安全问题的态度及看法-与年龄有关的比较
IF 0.7 Q2 Engineering Pub Date : 2021-12-01 DOI: 10.48295/et.2021.85.7
V. Pajković
Traffic safety is a challenge and a very serious problem on a global level due to the high number of traffic fatalities and injuries. In the driving context, road users’ personality characteristics, attitudes and behaviour may influence how individuals, especially young people, respond to certain driving situation. Young drivers are among the most vulnerable road users, particularly during the first few months of independent driving. While they represent only a small percentage of licensed drivers, they are more likely to be involved in fatal and injury crashes than older ones. The main aim of this paper is to explore differences of attitudes between young adults and others. The results are presented in regard to road users' age (under 24 years old and older), with both, gender and driving experience as control variables. The study showed that the perception of the overall safety situation differs related to different age group.
由于交通伤亡人数众多,交通安全在全球范围内是一项挑战和一个非常严重的问题。在驾驶环境中,道路使用者的个性特征、态度和行为可能会影响个人,特别是年轻人对某些驾驶情况的反应。年轻司机是最易受伤害的道路使用者之一,特别是在独立驾驶的头几个月。虽然他们只占持牌司机的一小部分,但他们比年长的司机更容易发生致命和受伤的车祸。本文的主要目的是探讨年轻人和其他人之间的态度差异。结果是关于道路使用者的年龄(24岁以下及以上),性别和驾驶经验作为控制变量。研究表明,不同年龄组对整体安全状况的感知存在差异。
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引用次数: 1
Road Safety Resource Allocation Using Interactive Multiobjective Optimization 基于交互式多目标优化的道路安全资源配置
IF 0.7 Q2 Engineering Pub Date : 2021-12-01 DOI: 10.48295/et.2021.84.4
M. Augeri
A model is proposed for allocating safety resources to various hazard sites. Due to budget constraints, allocation of resources for necessary countermeasures is a critical issue in safety improvement programs. Therefore, the Decision Maker needs a tool that can prioritize the identified countermeasures looking at several objectives, the most important of which are: reducing the number of accidents and minimizing the costs. A number of countermeasures could be implemented simultaneously in the same location and this was considered, so that the solution that best optimizes the objectives was selected. Since the considered objectives are not commensurable, a new methodology with interactive multi-objective optimization in the case of 0-1 integer variables was proposed, based on the application of a logical preference model built using dominance-based Rough Set Approach (IMO-DRSA). Finally, an application of the methodology is presented considering a sample of Italian urban intersections and a set of mutually exclusive alternatives at each location.
提出了安全资源在不同危险区的分配模型。由于预算限制,为必要的对策分配资源是安全改进计划中的一个关键问题。因此,决策者需要一种工具,可以根据几个目标对确定的对策进行优先级排序,其中最重要的是:减少事故数量并最大限度地降低成本。许多对策可以在同一地点同时实施,并考虑到这一点,以便选择最佳优化目标的解决方案。由于考虑的目标不可通约,在0-1整数变量情况下,基于基于优势的粗糙集方法(IMO-DRSA)建立的逻辑偏好模型的基础上,提出了一种交互式多目标优化方法。最后,介绍了该方法的应用,考虑了意大利城市十字路口的样本和每个位置的一组互斥替代方案。
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引用次数: 1
期刊
European Transport-Trasporti Europei
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