城市轨道交通网络末班车衔接优化模型

城市轨道交通网络运营结束阶段,末班车在路网换乘站内能否实现合理地衔接,最能体现出以人为本的客运服务以及科学高效的运营秩序。根据城市轨道交通网络特点,提出了城市轨道交通网络末班车衔接编制的原则。从站间列车运行时间约束、线间列车换乘衔接、末班列车线间衔接目标等角度,研究了轨道交通网络末班车衔接优化量化方法,建立了网络末班列车衔接优化模型。以北京轨道交通城区1号线、2号线和5号线局部路网为实例,编制了网络末班列车的优化时刻表。算例结果表明,模型及其优化算法可行,对路网运输计划编制工作有较强的实用性。     

基于线路层次的城市轨道交通网络末班车衔接优化研究

在城市轨道交通网络化运营和"一票制换乘"的背景下,制定合理的网络末班车衔接方案,满足末班车时段乘客出行需求,是当前城市轨道交通运营管理面临的重要问题。以在网络换乘站成功搭乘末班车的乘客数量最大化为目标,建立了网络末班车衔接优化模型,并设计了线路分层递进衔接优化算法求解该模型。以广州城市轨道交通网络为例,采用所提出的模型和算法进行了末班车衔接优化方案的计算。     

基于船舶领域和MMG的最晚施舵点/CRI研究

提出了一种基于MMG和船舶领域的LSP计算模型,以及改进的空间碰撞危险度（space collision risk index,SCRI）/时间碰撞危险度（time collision risk index,TCRI）模型,并进行了计算机仿真.结果表明：水动力模型精度可满足研究与实践要求;基于二分法的LSP模型能快速、可靠收敛;LSP和SCRI/TCRI模型更符合海员通常做法和避碰规则的公认理解.     

常规公交首末站场交通组织分析

以天津华苑公交总站周边交通为例,通过分析建立了该区域交通组织优化方案,使周边交通更加有序。提高了道路通行能力。这说明城市道路交通资源有限,合理的道路交通组织才是解决交通问题的根本所在。     

基于最后计划者系统的工程项目进度计划管理

为了使工程项目进度计划更具有可操作性以及对进度的可控性,在编制项目进度计划过程中引入基于精益思想TFV理论的最后计划者系统。通过该系统的项目主计划、前瞻计划以及周计划的编制与实施,将进度计划的编制从传统的“推式”系统转变为“拉式”系统,可以实现项目计划的动态跟踪与管理。基于案例比较分析,证实该方法可以提高项目进度计划的有效性和可操作性。     

AutoCAD中里程点法定位的实现

针对AutoCAD在线性参照系绘制中存在的一些不足,提出一种面向VBA语言的算法,实现在AutoCAD中线性参照系和用户坐标系之间的坐标转换,并给出算法的典型应用实例,实现利用里程点法来定位,具有重要的现实意义.     

桥梁钻孔灌注桩施工质量监理

结合工程实践,针对桥梁钻孔灌注桩施工质量监理的目标、监理程序、质量控制的要点进行了论述,并提出了质量验收的方法。     

期租合同中的租期计算与相关条款之影响

期租合同的租期应是一个确定的时段,但航运实践中的租期却很难精确计算。这其中有租期条款本身措辞的问题,也有合同中其他条款的影响。通过对TheKritiAkti一案的案情和判决的研究,阐述期租合同下租期计算中存在的一些问题及对策。     

Coordination of last train transfers using automated fare collection (AFC) system data

This paper studies last train coordination problem for metro networks, aiming to maximize the total number of passengers who can reach their destinations by metro prior to the end of operation. The concept of last boarding time is defined as the latest time that passengers can board the last trains and reach final destinations. The corresponding method for calculating last boarding time is also put forward. With automatic fare collection system data, an optimization model for coordinating last trains is proposed. The objective function optimizes the number of passengers who can reach their final destinations during the train period using departure times and headways of last trains for each line as decision variables. Afterwards, an adaptive genetic algorithm is put forward to solve this model and is applied to a case study of the Shanghai metro system. Copyright © 2017 John Wiley & Sons, Ltd.     

Preferences of travellers for using automated vehicles as last mile public transport of multimodal train trips

In the recent years many developments took place regarding automated vehicles (AVs) technology. It is however unknown to which extent the share of the existing transport modes will change as result of AVs introduction as another public transport option. This study is the first where detailed traveller preferences for AVs are explored and compared to existing modes. Its main objective is to position AVs in the transportation market and understand the sensitivity of travellers towards some of their attributes, focusing particularly on the use of these vehicles as egress mode of train trips. Because fully-automated vehicles are not yet a reality and they entail a potentially high disruptive way on how we use automobiles today, we apply a stated preference experiment where the role of attitudes in perceiving the utility of AVs is particularly explored in addition to the classical instrumental variables and several socio-economic variables. The estimated discrete choice model shows that first class train travellers on average prefer the use of AVs as egress mode, compared to the use of bicycle or bus/tram/metro as egress. We therefore conclude that AVs as last mile transport between the train station and the final destination have most potential for first class train travellers. Results show that in-vehicle time in AVs is experienced more negatively than in-vehicle time in manually driven cars. This suggests that travellers do not perceive the theoretical advantage of being able to perform other tasks during the trip in an automated vehicle, at least not yet. Results also show that travellers’ attitudes regarding trust and sustainability of AVs are playing an important role in AVs attractiveness, which leads to uncertainty on how people will react when AVs are introduced in practice. We therefore state the importance of paying sufficient attention to these psychological factors, next to classic instrumental attributes like travel time and costs, before and during the implementation process of AVs as a public transport alternative. We recommend the extension of this research to revealed preference studies, thereby using the results of field studies.