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Evaluation of Freeway Acceleration Lane Length Adequacy Based on Driving Behavior of Elderly Drivers 基于老年驾驶员驾驶行为的高速公路加速车道长度充分性评价
Pub Date : 2020-08-31 DOI: 10.7470/jkst.2020.38.4.265
A. Jung, Jieun Ko, C. Oh
Elderly drivers have rapidly grown in the road transportation systems. One of the significant issues associated with elderly drivers is that the performance of perception and reaction contributing to the driving skill and capability is comparatively lower than that of drivers of different ages. In particular, the merging situations frequently occurring at the freeway on-ramp area lead to greater workload for elderly drivers and resultingly higher risk of crash occurrence. From the traffic safety perspective, determining proper acceleration lane length, therefore, is of keen interest because the physical ability of elderly drivers significantly influences whether or not the lane change is safe. This study evaluated acceleration lane length using VISSIM microscopic traffic simulation tool based on the consideration of the increase in elderly drivers. Results showed that approximately 370 meter length is proper in terms of accommodating unsafe merging events at the current rate of elderly drivers, 10%. In addition, it was identified that 415 meter was appropriate under a scenario with 20% of elderly drivers. The outcome of this study would be useful in updating road design guidelines reflecting the characteristics of elderly drivers.
老年司机在公路交通系统中迅速增加。与老年驾驶员相关的一个重要问题是,对驾驶技术和能力有贡献的感知和反应表现相对于不同年龄的驾驶员较低。特别是高速公路入口匝道区域频繁发生的合流情况,给老年驾驶员带来了更大的工作量,导致事故发生的风险更高。因此,从交通安全的角度来看,确定适当的加速车道长度是一个非常重要的问题,因为老年驾驶员的身体能力会对变道是否安全产生重大影响。本研究在考虑老年驾驶员增加的基础上,利用VISSIM微观交通模拟工具对加速车道长度进行评估。结果表明,以目前老年驾驶员的比例(10%)来看,370米左右的长度是适合容纳不安全合并事件的。此外,在老年司机占20%的情况下,415米是合适的。这项研究的结果将有助于更新道路设计指引,以反映老年司机的特点。
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引用次数: 2
Analysis of Severity Factors in Personal Mobility (PM) Traffic Accidents 个人机动交通事故严重性因素分析
Pub Date : 2020-06-30 DOI: 10.7470/jkst.2020.38.3.232
Han Da Jeong, Kim Eung-Cheol, Ji, Mingyeong
PM (Personal Mobility) is a new type of transportation mode, and the number of users is increasing rapidly due to convenience and portability. However, related research is insufficient and PM safety issues are constantly occurring. In this study, we analyzed the severity of PM accidents and analyzed PM accidents that occurred in 2017 and 2018. PM accidents were classified into four stages according to the severity of accidents. Factors affecting accidents were classified into road and environmental factors, accident type factors and human factors. And factors that significantly affected PM accidents were selected. As a result of the analysis, significant variables influencing the severity of PM accident were selected. Among the roads and environmental factors, May or the time zone at 14 and 21, 23 were found to be high in the severity of PM accidents. And when the road was wet or the accidents occurred at intersections of roads were found to be high in severity of PM accidents. If PM other driver’s age was 50s, 60s or 70s, the accident severity was also found to be high. In the case of the PM and other vehicle’s accidents, the severity of accidents was high when the other vehicle was bicycle and the driver’s age was 40s, 50s. In the case of the PM and pedestrian’s accidents, the severity was also high when the accident occurred at the sidewalk or during crossing the intersection. In case of PM-only accident, when the accident site was other place (except for crossroads, single lanes, bridges, tunnels, and parking lots), the severity was high.
PM (Personal Mobility)是一种新型的交通方式,由于其便利性和便携性,用户数量正在迅速增加。然而,相关研究不足,PM安全问题不断发生。在本研究中,我们分析了PM事故的严重程度,并分析了2017年和2018年发生的PM事故。根据事故严重程度将PM事故分为四个阶段。将影响事故的因素分为道路环境因素、事故类型因素和人为因素。选取了影响PM事故的显著因素。通过分析,选取了影响PM事故严重程度的显著变量。在道路和环境因素中,5月14日和21、23日的时区是PM事故严重程度最高的时区。当道路潮湿或发生在道路交叉路口时,PM事故的严重程度较高。如果PM其他司机的年龄是50多岁、60多岁或70多岁,事故严重程度也很高。在总理和其他车辆的事故中,当另一辆车是自行车,司机年龄在四五十岁时,事故的严重程度很高。在PM和行人的事故中,当事故发生在人行道或穿过十字路口时,事故的严重性也很高。如果是pm事故,事故地点在其他地方(除了十字路口、单车道、桥梁、隧道、停车场),则严重程度较高。
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引用次数: 2
Forecasting the Daily Demand of Air Cargo Using Data Mining with CHAID Approach 基于CHAID方法的数据挖掘预测航空货运日需求量
Pub Date : 2020-06-30 DOI: 10.7470/jkst.2020.38.3.190
Kyung-Chang Min, H. Ha
Since the WTO was launched in 1995, Air cargo demand has risen sharply. It is expected to grow further on the explosive growth of E-commerce and Cross-Border trade in recently. As air cargo demand increases, the importance and needs for the forecasting of air cargo demand is increasing as well. Most of previous researches has been focussed on passenger part. In the case of researches on the forecasting of air cargo demand, the majority of researches are conducted quarterly or yearly forecasting to apply for establishment of mid-/long-term strategies, and an investment plan for an airport. The purpose of this paper is to develope the daily air cargo forecasting model that is able to help players in aviation, airlines, airports, etc., establish detailed operational strategies. In this paper, Chi-squared automatic interaction detection methodology is used to develop the forecasting model. The forecasting model is developed through two steps. At the first step, the weekly volume of air cargo is predicted by using CHAID methodology based on predict value from autoregressive integrated moving average and holiday information. At the second step, the final model which is the daily air cargo demand forecasting model is developed based on the weekly forecasting result from the first step, and holiday information by CHAID method as well. Based on the forecasting model developed in this paper, the daily cargo volumes for the next 56 days are predicted and the forecasting accuracy for each day is 93.9% which is 8.6% point higher than the forecasting accuracy for ARIMA model. It was noted that, unlike the characteristics of general demand forecasts, the high forecasting accuracy is maintained regardless of time lag from the forecasting point. And the result of the forecasting by shifting the forecasting point to 20 point, the forecasting accuracy for each dais is 91.2%, is high as well. The research finding shows the forecast model of this paper is worth to use as a daily forecasting model. It is expected that this paper will help to forecast the daily air cargo demand, and will further be used to forecast daily demand in more diverse area.
自1995年世贸组织成立以来,航空货运需求急剧上升。随着近年来电子商务和跨境贸易的爆炸式增长,预计将进一步增长。随着航空货运需求的增加,航空货运需求预测的重要性和需求也在增加。以往的研究大多集中在乘客部分。在航空货运需求预测的研究中,大多数研究都是进行季度或年度预测,用于制定机场的中长期战略和投资计划。本文的目的是开发每日航空货运预测模型,以帮助航空业、航空公司、机场等参与者制定详细的运营策略。本文采用卡方自动交互检测方法建立预测模型。预测模型的建立分两步进行。首先,基于自回归综合移动平均线和节假日信息的预测值,采用CHAID方法对周航空货运量进行预测。第二步,根据第一步的周预测结果,结合CHAID方法的假日信息,建立最终模型,即每日航空货运需求预测模型。基于本文建立的预测模型,对未来56天的日货运量进行了预测,每天的预测精度为93.9%,比ARIMA模型的预测精度提高了8.6%。有人指出,与一般需求预测的特点不同,无论从预测点开始的时间滞后如何,预测的准确性都很高。将预测点移至20点进行预测,各点的预测精度为91.2%,预测结果也较高。研究结果表明,本文的预测模型可以作为日常预测模型使用。预计本文将有助于预测航空货运的日常需求,并将进一步用于预测更多不同领域的日常需求。
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引用次数: 0
Analysis of Driving Behavior and Workload of Elderly Drivers on Freeways 高速公路老年驾驶员驾驶行为与负荷分析
Pub Date : 2020-06-30 DOI: 10.7470/jkst.2020.38.3.176
Minsoo Oh, J. Jang, C. Oh, Keunsoo Han
The aging problem is a significant issue in terms of overall aspects of society, and the need for making traffic safety policies is of keen interest because the increase in elderly drivers may have an impact on traffic safety. Therefore, the primary purpose of this study was to identify the characteristics of elderly drivers’ driving behaviors on freeways and to evaluate the workload of elderly drivers. The driving behavior of subjects was evaluated by utilizing the trajectory data optained from driving simulation experiments. In addition, the workload of subjects was estimated based on the ratio of beta waves to entire brain waves, which were collected while the participants were conducting the driving experiment. As a result, the average of elderly drivers’ speed was lower by 6% than non-elderly drivers. However, the average of the standard deviation of elderly drivers’ speed, which is a measure of effectiveness to represent the longitudinal driving stability, was higher about 25% than non-elderly drivers. Moreover, the average of the standard deviation of the lane position of elderly drivers on freeways, which indicates how they are stable on lateral driving, was higher about 31% compared to non-elderly drivers. Besides, the amount of beta wave of elderly drivers, which shows a driver’s psychological workload, was higher about 11% than non-elderly drivers. This study is expected to be utilized as a fundamental data when policies for elderly drivers are established in order to improve traffic safety in the aging society.
老龄化问题在社会的各个方面都是一个重大问题,制定交通安全政策的必要性引起了人们的浓厚兴趣,因为老年司机的增加可能会对交通安全产生影响。因此,本研究的主要目的是识别老年驾驶员在高速公路上的驾驶行为特征,并评估老年驾驶员的工作量。利用驾驶仿真实验获得的轨迹数据对被试的驾驶行为进行评价。此外,根据在受试者进行驾驶实验时收集的β波与整个脑电波的比例,估计受试者的工作量。结果,老年司机的平均车速比非老年司机低6%。然而,老年司机的速度标准差(代表纵向驾驶稳定性的有效性度量)的平均值比非老年司机高约25%。此外,与非老年司机相比,老年司机在高速公路上车道位置的平均标准差(表明他们在横向行驶时的稳定性)高出约31%。此外,老年司机的β波量(反映司机的心理工作量)比非老年司机高11%左右。这一研究结果有望成为制定老年驾驶员政策、提高老龄化社会交通安全的基础数据。
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引用次数: 2
Wider Benefits in Transport Projects Using an Impact Analysis Evaluation Method 使用影响分析评估方法在运输项目中获得更广泛的利益
Pub Date : 2020-06-30 DOI: 10.7470/jkst.2020.38.3.208
Seung-jae Lee, Sungyong Na, Donggyun Ku, Jooyoung Kim
UK government has revised its transport appraisal manual called WebTAG to accommodate various environmentally friendly transport projects in a wider perspective, which was commissioned by Sir Eddingtons’s transport studies. The guidance has triggered to revise the other transport appraisal guidances of commonwealth countries and international agencies such as OECD and WHO (World Health Organization). This paper therefore reviews the newly revised transport guidances for accommodating wider benefits currently used in OECD, UK, Australia and New Zealand. And then we attempt to draw some basic ideas commonly used and applicable in order to apply for calculating some environmentally friendly transport projects in downtown of Seoul such as Old Town Renaissance Project and Seoul’s high line project. In particular, we calculate health improvement benefits, which are comparable with WHO’s HEAT and UK’s SART health benefit in the framework of an impact analysis used in USA and OECD. These valuations of the health improvement benefits used in WHO, UK and New Zealand government guidances are used in the baseline to calculate willingness to pay of health improvement in Seoul cases. We have found that these benefits are not negligible by comparison with the existing core benefits such as travel time saving and vehicle operating cost saving benefits.
英国政府已经修订了名为WebTAG的交通评估手册,以适应更广泛的环境友好型交通项目,这是由爱丁顿爵士的交通研究委托编写的。该指南引发了对英联邦国家以及经合组织和世卫组织等国际机构的其他运输评估指南的修订。因此,本文回顾了新修订的运输指南,以适应经合组织、英国、澳大利亚和新西兰目前使用的更广泛的利益。然后,我们试图得出一些常用的和适用的基本思路,以便应用于计算一些首尔市中心的环保交通项目,如旧城复兴项目和首尔高线项目。特别是,在美国和经合组织使用的影响分析框架内,我们计算了与世卫组织的HEAT和英国的SART健康效益相当的健康改善效益。世卫组织、英国和新西兰政府指南中使用的这些健康改善效益估值被用于计算首尔病例中健康改善的支付意愿的基线。我们发现,与节省出行时间和节省车辆运营成本等现有核心效益相比,这些效益是不容忽视的。
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引用次数: 3
Pattern Classification of Taxi Drivers Based on Work and Living Conditions for Commercial Vehicle Safety Management System 商用车安全管理系统中基于工作和生活条件的出租车司机模式分类
Pub Date : 2020-06-30 DOI: 10.7470/jkst.2020.38.3.218
L. Young, Eunsol Cho, Oh, Cheol, Kang, Sun-Hwa, Choe, Byongho
The in-depth crash causes analysis for commercial vehicles is necessary to develop more effective safety countermeasures because the crash severity due to commercial vehicles is much higher than other vehicle types. A viable countermeasure to cope with commercial vehicle crashes is to conduct a traffic safety consulting for commercial vehicle drivers. The purpose of this study is to classify the pattern of taxi drivers, which is a fundamental to developing a customized consulting program. A two-stage clustering methodology is adopted to recognize the pattern of taxi drivers based on driver’s intrinsic characteristics underlying the cause of the crash occurrence that include working, health, and living conditions. Results show that it is desirable to classify taxi drivers into four groups such as ‘overworking’, ‘life-imbalanced’, ‘work and life-balanced’, and ‘unspecified-normal’. Discussions on how to use four driver patterns in conducting the safety consulting are presented. In addition, an example of consulting method is presented, which is expected to be used for developing effective consulting programs.
由于商用车的碰撞严重程度远远高于其他类型的车辆,因此对商用车进行深入的碰撞原因分析是制定更有效的安全对策的必要条件。应对商用车事故的可行对策是对商用车驾驶员进行交通安全咨询。本研究的目的是对出租车司机的模式进行分类,这是制定定制咨询计划的基础。采用两阶段聚类方法,根据司机的内在特征(包括工作、健康和生活条件)识别出租车司机的模式,这些特征是导致事故发生的根本原因。结果表明,将出租车司机分为“过度工作”、“生活不平衡”、“工作与生活平衡”和“不明确的正常”四类是可取的。讨论了如何运用四种驾驶员模式进行安全咨询。此外,还提出了一个咨询方法的实例,期望能用于制定有效的咨询方案。
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引用次数: 3
Estimation of Willingness to Pay by Trans-Korean Railway Connection Using CVM 利用CVM方法估算跨韩铁路连接的支付意愿
Pub Date : 2020-06-30 DOI: 10.7470/jkst.2020.38.3.167
Jooyoung Kim, Jangwon Jin
Recent construction of Trans-Korean Railway result in travel time reduction and also production and employment increase during construction phase. Those direct benefits are estimable using existing development methodology. But indirect benefits such as community development and economy, social culture are hard to be quantified. Therefore, this study estimated the economic benefits in terms of regional economy, development, and socio-cultural aspects of the operation of Trans-Korean Railway by using CVM (Contingent Valuation Method). It surveyed 545 adults over 20 years old, and estimated willingness to pay on usage of Trans-Korean Railway. As a result, respondents were willing to pay 13,824 won per household in residence tax. Moreover, total annual economic benefit regional economic and social culture due to Trans-Korean Railway is estimated to be 291.9 billion won.
最近的横贯韩半岛铁路的建设减少了旅行时间,并在建设阶段增加了生产和就业。使用现有的开发方法,这些直接的好处是可以估计的。但社区发展和经济、社会文化等间接效益难以量化。因此,本研究运用条件价值评估法(CVM),从区域经济、发展、社会文化等方面,评估跨韩铁路营运的经济效益。该调查对545名20岁以上的成年人进行了调查,并对使用横贯韩半岛铁路的意愿进行了估计。结果,每户居民愿意交纳1.3824万韩元的居住税。此外,据推算,因横贯韩半岛铁路而产生的地区经济、社会文化的年经济效益将达到2919亿韩元。
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引用次数: 0
Effects of Gateway on Reducing Vehicle Speeds in School Zones 校园通道对降低车速的影响
Pub Date : 2020-04-30 DOI: 10.7470/jkst.2020.38.2.085
S. Lim, Jihan Choi, Shezeen Oah
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引用次数: 1
A Study on Travel Time Estimation in Diverging Road Sections of Uninterrupted Traffic Flow based on Timestamp Data Analysis 基于时间戳数据分析的不间断交通流分叉路段行驶时间估计研究
Pub Date : 2020-04-30 DOI: 10.7470/jkst.2020.38.2.148
Sung-Hoon Kim, Hwapyeong Yu, H. Yeo
Various methods using GPS or vehicle detectors have been developed in estimating the travel time of individual road sections, but several problems still exist in terms of estimation accuracy. In particular, at the upstream of diverging road sections such as highway junctions and urban road intersections, traffic flow starts to diverge according to the traveling direction of vehicles. In such a case, the diverged flow behaviors can differ from each other, and differences in travel time towards each direction can be observed even in the same road section. Accordingly, it is necessary to estimate the travel time of a diverging road section by the traveling directions. For this purpose, this study provides a method for estimating the travel time of different traveling direction at the upstream of diverging highway sections using the GPS-based time stamp data. Three sequential steps with a few statistical approaches are provided in this stage: divergence detection in data, classification of diverged data, outlier filtering. In ‘data divergence detection’, a new statistical analysis method that can detect the occurrence of data divergence is provided, and it is analyzed that the method is useful in finding the threshold of determining data divergence. In ‘classification of diverged data’, a statistical approach is presented to classify the data by travel directions, and it is found that our modified method shows superior performance compared to others. In ‘outlier filtering’, a simple moving average is used to remove the data showing abnormal behaviors, but it is analyzed that this approach requires further improvement. The performance of the proposed method is tested using a microscopic simulation program. Through the tests, it is shown that the proposed method has reasonable performance in estimating the travel in the same road section by the travel directions.
利用GPS或车辆探测器估算路段行驶时间的方法已经有了很大的发展,但在估算精度方面仍然存在一些问题。特别是在高速公路路口、城市道路交叉口等分流路段的上游,交通流开始根据车辆行驶方向发生分流。在这种情况下,发散的流动行为可以彼此不同,即使在同一路段,也可以观察到各个方向的行驶时间的差异。因此,有必要根据行驶方向来估计分叉路段的行驶时间。为此,本研究提供了一种利用基于gps的时间戳数据估算公路分叉路段上游不同行驶方向行驶时间的方法。该阶段提供了三个连续的步骤和几种统计方法:数据的发散检测,发散数据的分类,离群值过滤。在“数据发散检测”中,提出了一种新的能够检测数据发散是否发生的统计分析方法,并分析了该方法对于寻找确定数据发散的阈值是有用的。在“发散数据的分类”中,提出了一种根据旅行方向对数据进行分类的统计方法,与其他方法相比,我们改进的方法表现出更好的性能。在“离群值过滤”中,使用简单的移动平均线来去除显示异常行为的数据,但分析认为这种方法需要进一步改进。利用微观仿真程序对该方法的性能进行了测试。试验结果表明,该方法在根据行驶方向估计同一路段的行驶时具有合理的性能。
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引用次数: 0
Effects of High-speed Rail’s Competition Strategies on Price and Share in the Transportation Market 高铁竞争策略对交通运输市场价格和份额的影响
Pub Date : 2020-04-30 DOI: 10.7470/jkst.2020.38.2.097
B. Suh, Gyuseung Kim, Chae-Il Lim, H. Ha
While a variety of papers consider only the competition between the two transportation means: aviation and high-speed rail (HSR), we analyze the effects of competition between the three parties by distinguishing aviation from full-service carrier (FSC) and low-cost carrier (LCC). This paper investigates the effect of the high-speed rail‘s competition strategies (weight of welfare, rail speed and access time to transport terminals) on the equilibrium ticket price and market shares of each transportation mode with the use of an adapted Circular city model. The results show how the price and market share changes depending on the variation of the three variables. We further suggest implications from the perspective of each competitor based on the results. Finally, an empirical study on Korea’s transportation markets is conducted to verify the proposed model and analyze the market situation.
虽然许多论文只考虑航空和高铁这两种运输方式之间的竞争,但我们通过将航空与全服务承运人(FSC)和低成本承运人(LCC)区分开来,分析了三方竞争的影响。本文采用自适应循环城市模型,研究了高铁竞争策略(福利权重、铁路速度和到达运输终端的时间)对各运输方式的均衡票价和市场份额的影响。结果表明,价格和市场份额随三个变量的变化而变化。根据研究结果,我们进一步从每个竞争者的角度提出了启示。最后,通过对韩国交通运输市场的实证研究,对所提出的模型进行验证,并对市场现状进行分析。
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引用次数: 1
期刊
Journal of the Eastern Asia Society for Transportation Studies
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