高速铁路基础设施检测监测体系技术路线研究

铁路基础设施是铁路运输的基础,加强检测监测工作,以全面掌握基础设施运用状态和变化规律,可为高铁预防性状态修和精准维修提供技术支撑.结合工电供融合、修程修制改革和铁路高质量发展等新要求,研究提出从国内外调研、需求分析、工电供专业系统优化、大数据平台设计、工电供专业融合、检测监测体系结构等6个环节开展高速铁路基础设施检测监...     

考虑出行者行为的多重网络拥堵风险传播模型

城市道路交通拥堵风险传播过程受拥堵预警信息、出行者行为特性及居民出行流量分布等诸多因素影响.本文提出包括道路子网、信息子网和出行子网的多重网络模型,应用改进的UAU-SIR(Unaware-Aware-Unaware-Susceptible-Infective-Recovered)模型,探讨多重网络预警信息下的城市道路...     

InSAR技术在采空区铁路选线中的应用

采空区沉降变形会直接影响铁路工程的建设及运营安全,需要对其变形进行勘察分析并评估影响.通过工程实例,应用InSAR(合成孔径雷达干涉测量)技术结合物探及钻探等手段,对某采空区影响进行综合评价.在收集既有地质资料及矿区资料的基础上,首先采用2007～2011年日本ALOS-PALSAR及2016～2018年欧空局Sent...     

浅析城市道路设计中路线方案的比选——以兰州市南环路(西客站段)联通工程方案为例

城市道路建设过程中,存在各种不确定因素。当道路沿线构筑物较多、周边环境较为复杂时,需进行多方案的比选,在兼顾经济指标与技术指标的前提下确定切实可行的路线方案。结合兰州市南环路(西客站段)联通工程方案,总结了城市建设中路线方案比选的几点思考,供道路专业人员参考。     

京杭运河穿黄及黄河北航道走向探析

近年来,京杭运河黄河以北段复航呼声越来越高,京杭运河穿黄及黄河北山东段走向成为目前需要迫切解决的问题。本文通过对东平湖周边防洪工程现状分析,提出了穿黄位置、穿黄方案及穿黄线路走向;根据黄河北河系水网布置,提出了京杭运河黄河北山东段航道初步走向,为京杭运河黄河以北段复航工程提供技术参考。     

Key criteria influencing the choice of Arctic shipping: a fuzzy analytic hierarchy process model

As Arctic sea ice shrinks due to global warming, the Northern Sea Route (NSR) and the Northwest Passage (NWP) offer a substantial reduction in shipping distance between Asia and the European and North American continents, respectively, when compared to conventional routes through the Suez and Panama Canals. However, Arctic shipping routes have many problems associated with their use. The main objective of this paper is to identify the key criteria that influence the decisions of shipping operators with respect to using Arctic shipping routes. A multi-criteria decision-making methodology, the Fuzzy Analytic Hierarchy Process, is applied to rank four potential categories of criteria (‘economic’, ‘technical’, ‘political’ and ‘safety’ factors) and their sub-criteria.

The results of the analysis suggest that, on aggregate, ‘economic’ is the most important category of influential factors, followed by ‘safety’, ‘technical’ and ‘political’ factors. The paper concludes, however, that the most influential specific sub-criteria relate to risks that lie mainly within the ‘safety’ and ‘political’ domains and that, especially in combination, these overwhelm the importance which is attached to ‘economic’ factors such as reduced fuel use. Finally, the implications of these findings for the future development of Arctic shipping are addressed at a strategic level.     

An exploratory study on the Northern Sea Route as an alternative shipping passage

This qualitative inductive research explores the potential benefits for the Scandinavian economy and ports through the implementation of the Northern Sea Route (NSR) as an alternative for container shipping to the established Southern route through the Suez Canal. To extract expert’s opinions and address these objectives, we utilised in-depth face-to-face semi-structured interviews through purposive sampling in a single case study setting. The analysis of the data demonstrates that the commercialisation of NSR can yield benefits for the Scandinavian economy (e.g. GDP increase, jobs creation) and reveals the benefits of Scandinavian ports (e.g. ECA’s, flexibility, hinterland, etc.) compared to other ports in North West Europe, which potentially grasp the NSR as an opportunity. However, it is highlighted that this can only be achieved if Scandinavian countries are proactive and secure their involvement.     

Bike route choice modeling using GPS data without choice sets of paths

Concerned by the nuisances of motorized travel on urban life, policy makers are faced with the challenge of making cycling a more attractive alternative for everyday transportation. Route choice models can help achieve this objective by gaining insights into the trade-offs cyclists make when choosing their routes and by allowing the effect of infrastructure improvements to be analyzed. We estimate a link-based bike route choice model from a sample of GPS observations in the city of Eugene on a network comprising over 40,000 links. The so-called recursive logit (RL) model (Fosgerau et al., 2013) does not require to sample any choice set of paths. We show the advantages of this approach in the context of prediction by focusing on two applications of the model: link flows and accessibility measures. Compared to the path-based approach which requires to generate choice sets, the RL model proves to make significant gains in computational time and to avoid paradoxical accessibility measure results discussed in previous works, e.g. Nassir et al. (2014).     

轨道交通乘客个性化出行路径规划算法

随着城市轨道交通网络的不断完善,可供乘客选择的轨道交通出行路径日益 增加,乘客出行路径决策愈加复杂.本文在分析轨道交通服务水平变量对不同属性乘客出 行路径选择行为影响的基础上,提出轨道交通乘客个性化出行路径规划算法.首先,基于 非集计理论构建针对不同类别乘客的路径选择模型,该模型综合考虑乘车时间、换乘时 间、换乘次数、车内拥挤度及个人属性等因素对乘客路径选择行为的影响.其次,基于不同 类别乘客的路径选择行为差异,构建考虑车内拥挤度变化的乘客个性化出行路径动态规 划算法,为不同属性乘客规划广义出行时间最小的路径.最后,基于广州地铁数据对算法 进行验证.结果表明,该算法针对乘客个人属性规划的最优出行路径,更加贴合乘客的出 行心理.     

先进出行信息下事故对行程时间可靠性的影响

定义路径行程时间可靠性为在交通事故期间内平均路径行驶时间小于事故前路径出行时间乘以可接受拥堵水平的概率,由此导出路网行程时间可靠性.假定事故持续时间服从正态分布并将研究时域划分成相同的时段,在先进出行信息下,利用元胞传输模型进行路段流量加载,给出了每一个时段内路径行程时间的递推式,并在每一个时段内更新1次路径出行时间,出行者根据更新的出行时间运用Logit模型进行路径决策,最后基于Monte-Carlo法模拟求解路网行程时间可靠性.算例结果表明,行程时间可靠性随事故持续时间和方差及需求的增加而减小;可靠性随可接受拥堵水平的增加而增加;在拥堵网络中,包含事故路段的OD间需求越高,可靠性越低.