Innovative strategies for urban car-sharing systems and a simulator to assess their performance

In this paper, three innovative car-sharing systems for urban areas are proposed, based on fleets of individual intelligent vehicles with three service characteristics: instant access, open-ended reservations and one-way trips. These features provide high flexibility but create an uneven distribution of vehicles among stations. Therefore, relocation of vehicles must be performed. Three different system procedures are proposed: in the first system, relocations are performed by users; in the other two, vehicles relocate automatically, thanks to their automation. In the first two systems, vehicles are accessible only at stations, whereas in the third they are also accessible along roads. In order to provide transport managers with a tool to test systems in different realities, an object-oriented simulator is developed. The simulation provides outputs of system performance, in terms of user waiting times and system efficiency. The proposed systems are simulated for the city of Genoa, in Italy, and a comparative analysis is presented.     

An integrated framework for embedding large-scale dynamic traffic assignment models in advanced traveler information systems

In recent years, increasing attention has been drawn to the development of various applications of intelligent transportation systems (ITS), which are credited with the amelioration of traffic conditions in urban and regional environments. Advanced traveler information systems (ATIS) constitute an important element of ITS by providing potential travelers with information on the network's current performance both en-route and pre-trip. In order to tackle the complexity of such systems, derived from the difficulty of providing real-time estimations of current as well as forecasts of future traffic conditions, a series of models and algorithms have been initiated. This paper proposes the development of an integrated framework for real-time ATIS and presents its application on a large-scale network, that of Thessaloniki, Greece, concluding with a discussion on development and implementation challenges as well as on the advantages and limitations of such an effort.     

经管类专业ERP综合模拟实践教学的探讨

文中针对当前ERP课程教学中的各种问题,对实现经管类专业ERP综合模拟实践教学进行了探讨,指出了经管类ERP综合模拟实践教学的优势,并总结出经管类ERP综合模拟实践的教学内容和教学方式.     

SiC功率器件在轨道交通行业中的应用

为解决轨道交通牵引及辅助系统的轻量化等问题,宽禁带半导体器件如SiC器件的应用需求越来越大。SiC材料具有禁带宽度大、击穿场强高、电子饱和漂移速率快等特性,能满足在中大功率、高温、高频条件下工作的应用要求。简述了SiC器件相比传统硅基器件的突出优势及商业化和实验室研发情况,介绍了SiC功率器件在轨道交通行业中的发展现状,同时对其在未来轨道交通装备业的发展提出了建议和展望。     

BIM技术在清华珠三角公建项目施工中的应用研究

随着科技的进步及项目管理水平的提高,BIM技术应运而生。本文以清华珠三角研究院粤港澳大湾区创新基地项目为依托,从应用目标、应用前准备工作、前期策划管理、技术管理、质量安全管理、物资设备管理、进度管理、经济成本管理等方面开展BIM技术在公建项目施工中的应用研究,结果表明:使用BIM技术,使项目管理走向精细化、全面化、高效化,并提高质量标准,增加安全保障,减少项目成本,提高项目利润率;同时与AI技术相结合,使BIM技术更加具有简便性,产出更大效益。     

航空物流与区域经济高质量发展协同性——基于重庆的实证研究

自2017年十九大提出经济高质量发展以来,重庆根据中央部署,经济高质量发展取得了初步成功。在这一过程中,发现航空物流产业与区域经济高质量发展间存在正相关关系。为了研究重庆航空物流与区域经济高质量发展的协同性,采用数据包络分析(DEA)模型,对重庆市2008年至2018年GDP、航空货邮吞吐量等指标进行代入计算。结果表明,重庆航空物流与区域经济高质量发展存在较高的协同性,且呈现上升趋势,但由于航空物流和区域经济发展内部资源分配不合理,导致有效协同发展程度波动较大。结合重庆市实际情况,以资源配置优化为侧重点,提出提高二者协同性的建议。     

交互式多目标决策方法及其在海洋平台方案综合优选中的应用

提出了一种新的交互式多目标决策方法.它是在对指标有偏好信息及客观熵信息输出权重基础上,以严格的最小二乘法为工具,建立确定指标权重的优化模型,达到主观与客观的统一,从而为多目标决策问题寻求到一种行之有效的方法.通过将该方法应用于某海洋平台多目标决策,并与采用传统层次分析(AHP)方法相比较,结果表明该方法在应用于海洋平台方案综合优选等复杂多目标决策问题时是适用的和可靠的.     

京杭运河的船闸设计研究

简要介绍京杭运河的建设情况,分析京杭运河船闸的总平面布置设计要点及船闸输水系统和主体机构的设计要点。     

Assessment of energy-saving techniques in direct-current-electrified mass transit systems

Railway rapid transit systems are key stones for the sustainability of mass transit in developed countries. The overwhelming majority of these railway systems are direct-current (DC) electrified and several energy-saving techniques have been proposed in the literature for these systems. The use of regenerative-braking in trains is generally recognised as the main tool to improve the efficiency of DC-electrified mass transit railway systems but the energy recovered in braking cannot always be handled efficiently, above all in low traffic-density situations. Several emerging technologies as energy storage systems or reversible traction substations have the potential for making it possible to efficiently use train-braking. However, a systematic evaluation of their effect is missing in the literature.In this paper, a deep, rigorous and comprehensive study on the factors which affect energy issues in a DC-electrified mass transit railway system is carried out. This study clarifies what the actual potential is for energy saving in each situation. Then, a methodology to asses several energy-saving techniques to improve energy efficiency in DC-electrified mass transit systems is presented, constituting the main contribution of this paper. This methodology has been conceived to help operators in assessing the effect of railway-infrastructure emerging technologies in transit systems, so making it possible to shape planning, capacity, etc. It is stepped out in three basic movements. First of all, a traffic-density scan analysis is conducted in order to clarify the effect of the headway on system behaviour. Secondly, several traffic-density scenarios are simulated for a set of infrastructure-expanded cases. Finally, annual energy saving is evaluated by applying a realistic operation timetable. This methodology has been applied to a case study in Madrid Metro (Spain) to illustrate the steps of its application and the effect of several energy-saving techniques on this specific system. Results confirm that regenerative braking generally leads to an important increase of system energy efficiency – especially at high traffic-density scenarios. It has also been proved that infrastructure improvements can also contribute to energy savings and their contributions are more significant at low traffic densities. Annual energy results have been obtained, which may lead to investment decisions by carrying out an appropriate economic assessment based on cost analysis.The main results of the study presented here are likely to apply to other electric traction systems, at least qualitatively.     

Real time detection of driver attention: Emerging solutions based on robust iconic classifiers and dictionary of poses

Real time monitoring of driver attention by computer vision techniques is a key issue in the development of advanced driver assistance systems. While past work mostly focused on structured feature-based approaches, characterized by high computational requirements, emerging technologies based on iconic classifiers recently proved to be good candidates for the implementation of accurate and real-time solutions, characterized by simplicity and automatic fast training stages.In this work the combined use of binary classifiers and iconic data reduction, based on Sanger neural networks, is proposed, detailing critical aspects related to the application of this approach to the specific problem of driving assistance. In particular it is investigated the possibility of a simplified learning stage, based on a small dictionary of poses, that makes the system almost independent from the actual user.On-board experiments demonstrate the effectiveness of the approach, even in case of noise and adverse light conditions. Moreover the system proved unexpected robustness to various categories of users, including people with beard and eyeglasses. Temporal integration of classification results, together with a partial distinction among visual distraction and fatigue effects, make the proposed technology an excellent candidate for the exploration of adaptive and user-centered applications in the automotive field.