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EVALUATION OF MULTI-CLASS MULTI-LABEL MACHINE LEARNING METHODS TO IDENTIFY THE CONTRIBUTING FACTORS TO THE SEVERITY OF ANIMAL-VEHICLE COLLISIONS 评估多类别多标签机器学习方法,以识别动物与车辆碰撞严重程度的影响因素
Pub Date : 2021-07-01 DOI: 10.7708/ijtte2021.11(3).01
K. Moghaddam, V. Balali, Prateechi Singh, Majid Khalilikhah
Transportation is a fundamental tool to develop communities, cities, and countries on a larger scale, and more extensive transportation networks have developed ubiquitously. However, it is needed to consider the fact that animals also live in the same environment without using the same means, and there is always a chance of colliding with them while driving vehicles. Animal-Vehicle Collision (AVC) is a principal concern for transportation agencies and roadway hazards that influences human safety, property, and wildlife. State of Tennessee animal crash data has been collected for 23 years containing different types of information for each collision. This paper presents and evaluates the performance of five machine learning-based prediction models for animal collisions in the presence of both categorical and non-categorical features. These five models are developed using Logistic Regression, Random Forest, CatBoost, eXtreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LGBM). The CatBoost model has the highest accuracy level at 78.52%. Therefore, it seems to be the most suitable model to predict animal collisions based on 23-year data from Tennessee. The experimental results demonstrate the potential of leveraging categorical data with CatBoost as a viable solution for creating up-to-date and complete analysis for animal-vehicle collision data.
交通运输是扩大社区、城市和国家规模的基本工具,更广泛的交通网络已经无处不在。然而,需要考虑到动物也生活在相同的环境中,而不使用相同的手段,并且在驾驶车辆时总是有可能与它们发生碰撞。动物-车辆碰撞(AVC)是交通运输机构和道路危害的主要关注点,影响人类安全、财产和野生动物。田纳西州动物碰撞数据已经收集了23年,每次碰撞都包含不同类型的信息。本文提出并评估了五种基于机器学习的动物碰撞预测模型在分类和非分类特征下的性能。这五个模型是使用逻辑回归、随机森林、CatBoost、极端梯度增强(XGBoost)和光梯度增强机(LGBM)开发的。CatBoost模型的准确率最高,为78.52%。因此,根据田纳西州23年的数据,这似乎是最适合预测动物碰撞的模型。实验结果表明,利用CatBoost的分类数据作为一种可行的解决方案,可以为动物-车辆碰撞数据创建最新的完整分析。
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引用次数: 2
SPATIAL MULTI-CRITERIA EVALUATION METHOD FOR PLANNING OF OPTIMAL ROADS ALIGNMENTS, WITH EMPHASIZE ON ROBUSTNESS ANALYSIS 道路线形优化规划的空间多准则评价方法,重点是鲁棒性分析
Pub Date : 2021-07-01 DOI: 10.7708/ijtte2021.11(3).06
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引用次数: 4
POSSIBILITIES OF CONNECTING A SEA PORT WITH DRY PORTS IN THE HINTERLAND IN ORDER TO ATTRACT REGIONAL CARGO: CASE STUDY - PORT OF BAR 连接海港与内陆陆港以吸引区域货物的可能性:案例研究-巴尔港
Pub Date : 2021-07-01 DOI: 10.7708/ijtte2021.11(3).02
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引用次数: 0
MULTIMODAL TRANSPORT IN THE ADRIATIC – IONIAN REGION: A TRANSNATIONAL APPROACH AND STRATEGY FOR IMPROVEMENT DURING THE COVID-19 PANDEMIC ERA 亚得里亚海-爱奥尼亚地区的多式联运:COVID-19大流行时期的跨国改进方法和战略
Pub Date : 2021-07-01 DOI: 10.7708/ijtte2021.11(3).05
Paolo Miltiadou Marios Bouhouras Efstathios Taxiltaris C Dileno
One of the main objectives of the project "Integrating multimodal connections in the Adriatic-Ionian region" (ADRIPASS) is to deal with the commonly recognized lack of efficient maritime -- hinterland connections, which are mainly caused by the existence of various bottlenecks at borders. This is achieved by identifying and analysing these -- physical and non-physical -- bottlenecks along the Trans-European Transport Networks (TEN-T) corridor sections in the Adriatic -- Ionian (ADRION) region, with specific attention paid to those corridors that have been indicatively extended to the Western Balkans (WB) region, where the issue of border crossings is quite relevant. The Covid-19 pandemic outbreak affects the entire globe, including Europe, in many and different ways. In the fight against the spread of Covid-19, national governments of the European Union (EU) introduced temporary restrictions to border traffic of various degrees, ranging from border controls to outright closure. In this framework, ADRIPASS took duly into account the experience gained during the period of Covid-19 in the Transnational Strategy for the improvement of multimodal transport and accessibility in the ADRION region, developed as the final output of the project. The current paper presents in a summarized way the activities, results and outputs, including the defined Strategy and specific proposals related to transport facilitation for the period to follow. [ABSTRACT FROM AUTHOR] Copyright of International Journal for Traffic & Transport Engineering is the property of Scientific Research Journals Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
“整合亚得里亚海-爱奥尼亚地区的多式联运”(ADRIPASS)项目的主要目标之一是解决普遍公认的缺乏有效的海上-内陆连接的问题,这主要是由于边界存在各种瓶颈造成的。这是通过确定和分析亚得里亚海-爱奥尼亚(ADRION)地区跨欧洲运输网络(TEN-T)走廊部分的物理和非物理瓶颈来实现的,特别关注那些已经明显延伸到西巴尔干(WB)地区的走廊,在那里过境问题非常相关。2019冠状病毒病大流行疫情以许多不同的方式影响包括欧洲在内的整个全球。在抗击新冠病毒传播的过程中,欧盟各国政府对边境交通实施了不同程度的临时限制,从边境管制到彻底关闭。在这一框架内,ADRIPASS充分考虑了新冠肺炎疫情期间在改善ADRION地区多式联运和可达性的跨国战略中获得的经验,并将其作为项目的最终成果制定出来。本文件概述了活动、结果和产出,包括确定的战略和今后一段时期有关运输便利的具体建议。《国际交通运输工程学报》版权归Scientific Research Journals Ltd.所有,未经版权所有人明确书面许可,其内容不得被复制、通过电子邮件发送到多个网站或发布到某个列表服务器。但是,用户可以打印、下载或通过电子邮件发送文章供个人使用。这篇摘要可以删节。对副本的准确性不作任何保证。用户应参考资料的原始出版版本以获取完整摘要。(版权适用于所有摘要。)
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引用次数: 0
ESTIMATION OF AUSTRALIA’S OUTBOUND AIRLINE PASSENGER DEMAND USING AN ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM 使用自适应神经模糊推理系统估计澳大利亚出境航空旅客需求
Pub Date : 2021-07-01 DOI: 10.7708/ijtte.2021.11(3).10
P. Srisaeng, Glenn Baxter
: This study has proposed and empirically tested an adaptive neuro-fuzzy inference system (ANFIS) model for predicting Australia’s outbound international airline passenger demand. The model was developed using eleven input parameters of world GDP, world population, world air fare yields, world jet fuel prices, outbound flights from Australia, Australia’s unemployment numbers, Australian’s (AUD/USD) foreign exchange rate, Australia’s outbound tourist expenditure and four dummy variables. The model was constructed using annual data from 1994 to 2019. The hybrid learning algorithm and the subtractive clustering partition method were used to generate the optimum ANFIS models. The performance of the model was measured using five error measures: coefficient of determination (R2-value), root mean square errors (RMSE), mean absolute errors (MAE) and the mean absolute percentage error (MAPE). The results found that the mean absolute percentage error (MAPE) for the overall data set of the model was 3.60%. The R2-value was around 0.9886, demonstrating that the ANFIS is an efficient model for predicting Australia’s outbound airline passenger demand.
本研究提出并实证检验了自适应神经模糊推理系统(ANFIS)模型对澳大利亚出境国际航空旅客需求的预测。该模型使用了11个输入参数,包括世界GDP、世界人口、世界机票收益率、世界喷气燃料价格、澳大利亚出境航班、澳大利亚失业人数、澳大利亚(澳元/美元)汇率、澳大利亚出境旅游支出和4个虚拟变量。该模型是使用1994年至2019年的年度数据构建的。采用混合学习算法和减法聚类划分方法生成最优的ANFIS模型。模型的性能通过5个误差指标来衡量:决定系数(r2值)、均方根误差(RMSE)、平均绝对误差(MAE)和平均绝对百分比误差(MAPE)。结果发现,该模型整体数据集的平均绝对百分比误差(MAPE)为3.60%。r2值约为0.9886,表明ANFIS是预测澳大利亚出境航空旅客需求的有效模型。
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引用次数: 3
THE ASSESSMENT OF INTERMODAL TRANSPORT IN COUNTRIES OF THE DANUBE REGION 多瑙河区域各国多式联运的评估
Pub Date : 2021-07-01 DOI: 10.7708/ijtte2021.11(3).03
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引用次数: 11
THE DEVELOPMENT OF INTERMODAL FREIGHT TRANSPORT IN POLAND FROM 2007 TO 2016: BARRIERS AND OPPORTUNITIES TO ITS FURTHER DEVELOPMENT 2007 - 2016年波兰多式联运的发展:进一步发展的障碍与机遇
Pub Date : 2021-01-09 DOI: 10.7708/IJTTE.2021.11(1).10
Dominika Mońka, Robyn Pyne, Dimitrios Paraskevadakis, A. Bury
International transport has grown dynamically in Poland since it becomes a European Union (EU) member. This being the case, it is now, more than ever, important to identify the approaches that are most suitable for delivering sustainable freight transport to the nation. Intermodal options appear to be the most appropriate for this task. This study examines the development of intermodal freight transport in Poland from 2007 to 2016. It considers the barriers overcome and that remain to be overcome as well as identifying opportunities for further development. Initially, secondary data sourced from the Glowny Urząd Statystyczny, Urząd Transportu Kolejowego and Eurostat databases, was utilised to explore the situation. This was then reinforced by primary data collection, in the form of a survey, the aim of which being to validate the reviewed literature and the findings of the derived from the database data with the subjective perspective of the respondents. It was found that although the prevalence of intermodal transport has an upward trend in Poland its uptake remains significantly lower than in other EU member states. The major issue inhibiting the development of intermodal transport in Poland is the condition of the nation’s infrastructure. This is accompanied by an element of concern for the external costs generated by intermodal carriers. However, Poland’s participation in a range of EU funded projects that support the modernisation of its ageing infrastructure has been, and remains, a major driving force behind the ongoing development of the intermodal transportation of freight within the country.
自从波兰成为欧盟(EU)成员国以来,波兰的国际运输业发展迅猛。在这种情况下,现在比以往任何时候都更重要的是确定最适合为国家提供可持续货运的方法。多式联运方案似乎是最适合这项任务的。本研究考察了2007年至2016年波兰多式联运货运的发展。它审议了已克服和仍需克服的障碍,并确定了进一步发展的机会。最初,来自Glowny Urząd Statystyczny, Urząd Transportu Kolejowego和Eurostat数据库的辅助数据被用来探索这种情况。然后,以调查的形式收集了主要数据,加强了这一点,其目的是用答复者的主观观点来验证审查的文献和从数据库数据中得出的结论。研究发现,尽管多式联运的流行率在波兰有上升趋势,但其吸收率仍明显低于其他欧盟成员国。阻碍波兰多式联运发展的主要问题是该国基础设施的状况。与此同时,人们还对多式联运承运人产生的外部费用感到关切。然而,波兰参与了一系列欧盟资助的项目,支持其老化的基础设施现代化,一直是,并且仍然是国内货物多式联运持续发展背后的主要推动力。
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引用次数: 0
ESTIMATION OF VALUE OF TIME OF TOLL ROAD USERS IN INDIA 印度收费公路使用者的时间价值估算
Pub Date : 2020-10-01 DOI: 10.7708/ijtte.2020.10(4).09
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引用次数: 0
TRAVEL TIME VARIABILITY ANALYSIS: THE CASE OF KUMASI, GHANA 旅行时间变异性分析:以加纳库马西为例
Pub Date : 2020-10-01 DOI: 10.7708/ijtte.2020.10(4).08
A. Obiri-Yeboah, J. F. X. Ribeiro, Benjamin Pappoe
: Travel time variability describes the adjustable and probable changes in travel times that occur during a typical trip on a monitored road segment. Fluctuations in the travel time have direct impact on the route capacity which, in turn, negatively impacts the effectiveness of operational measures of the subject route’s capacity. In this study, travel time analysis was carried out for three different frequently used road segments using three different travel modes: private and commercial (mass transit (“trotro”) and shared taxis) for 13 days by measuring travel times from start to the end of each study section. Three different times of day were employed for the analysis that is the morning peak (7:00am to 10:00am), afternoon peak (1:00pm to 3:00pm) and the evening peak periods (4:00pm to 7:00pm). The results obtained suggest that there are huge variations in the travel time variability for both the morning, afternoon and evening peak periods for the three travel modes studied on the selected routes. The paper concludes that the wide differences in travel time variability, which could be attributed to the prevalence of side friction agents and multiple stops, make trip planning and its related prediction efforts extremely challenging and recommends a scale-up of study to establish the conclusions made from this study.
旅行时间变异性描述了在一个受监控路段的典型旅行中,旅行时间的可调整和可能的变化。出行时间的波动直接影响路线容量,进而对主题路线容量的运营措施的有效性产生负面影响。在这项研究中,通过测量每个研究部分从开始到结束的旅行时间,对三个不同的常用路段进行了13天的旅行时间分析,使用了三种不同的旅行模式:私人和商业(公共交通(“trotro”)和共享出租车)。分析使用了三个不同的时间,即上午高峰(7:00am至10:00am),下午高峰(1:00pm至3:00pm)和晚上高峰时段(4:00pm至7:00pm)。结果表明,在选择的路线上,研究的三种出行方式在早高峰、下午高峰和晚高峰时段的出行时间变异都存在巨大差异。本文的结论是,旅行时间变异性的巨大差异可能归因于侧面摩擦剂和多个站点的普遍存在,这使得旅行计划及其相关预测工作极具挑战性,并建议扩大研究规模以建立本研究得出的结论。
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引用次数: 1
INFLUENCE OF SERVICE EXCELLENCE ON CONSUMER SATISFACTION OF RIDESHARING INDUSTRY 服务卓越性对专车行业消费者满意度的影响
Pub Date : 2020-10-01 DOI: 10.7708/ijtte.2020.10(4).06
Ahmed Ziyad, Zia-ur-rehman, Z. Batool, A. H. Khan
: The objective of the study was to determine the influence of service excellence on consumer satisfaction in the ridesharing industry of Pakistan. Uber and Careem are two ridesharing services or Transport Network Companies (TNCs) which use mobile-based applications and use GPS to connect passengers and drivers in an efficient way. These ridesharing companies have been operating in the country for the past five years. For TNCs such as Uber and Careem, consumer satisfaction plays an important role in retaining customers and satisfying them thereby boosting their profits. Consumer satisfaction and service excellence are interconnected and associated with each other. This research determined the influence of the five service quality dimensions of SERVQUAL model i.e. assurance, responsiveness empathy, tangibility and reliability on consumer satisfaction of ridesharing services. This questionnaire survey-based research study was carried out on 268 respondents. The collected data was analyzed by Pearson correlation followed by the formulation of the regression model, associating consumer satisfaction with service quality. The research showed that all the service quality dimensions had a positive impact on consumer satisfaction. Assurance, responsiveness, and empathy significantly influenced consumer satisfaction whereas reliability and tangibility had a less significant impact on consumer satisfaction as compared to other service quality parameters. This research study assisted the TNCs in better understanding of service quality parameters which needed improvement for enhancing the consumer satisfaction.
本研究的目的是确定服务卓越对巴基斯坦拼车行业消费者满意度的影响。优步和Careem是两家拼车服务或运输网络公司(TNCs),它们使用基于移动的应用程序和GPS以有效的方式连接乘客和司机。这些拼车公司在过去的五年里一直在印度运营。对于Uber和Careem这样的跨国公司来说,消费者满意度在留住客户和满足客户从而提高利润方面发挥着重要作用。顾客满意和服务卓越是相互联系的。本研究确定SERVQUAL模型的五个服务质量维度(保证、响应、共情、有形和可靠性)对拼车服务消费者满意度的影响。本研究以问卷调查为基础,对268名受访者进行研究。对收集到的数据进行Pearson相关分析,然后建立回归模型,将消费者满意度与服务质量联系起来。研究表明,服务质量各维度对消费者满意度均有正向影响。与其他服务质量参数相比,保证、响应和共情显著影响消费者满意度,而可靠性和有形性对消费者满意度的影响不太显著。本研究有助于跨国公司更清楚地了解为提高顾客满意度而需要改进的服务品质参数。
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引用次数: 8
期刊
International Journal for Traffic and Transport Engineering
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