Real-time traffic state estimation in urban corridors from heterogeneous data

In recent years, rapid advances in information technology have led to various data collection systems which are enriching the sources of empirical data for use in transport systems. Currently, traffic data are collected through various sensors including loop detectors, probe vehicles, cell-phones, Bluetooth, video cameras, remote sensing and public transport smart cards. It has been argued that combining the complementary information from multiple sources will generally result in better accuracy, increased robustness and reduced ambiguity. Despite the fact that there have been substantial advances in data assimilation techniques to reconstruct and predict the traffic state from multiple data sources, such methods are generally data-driven and do not fully utilize the power of traffic models. Furthermore, the existing methods are still limited to freeway networks and are not yet applicable in the urban context due to the enhanced complexity of the flow behavior. The main traffic phenomena on urban links are generally caused by the boundary conditions at intersections, un-signalized or signalized, at which the switching of the traffic lights and the turning maneuvers of the road users lead to shock-wave phenomena that propagate upstream of the intersections. This paper develops a new model-based methodology to build up a real-time traffic prediction model for arterial corridors using data from multiple sources, particularly from loop detectors and partial observations from Bluetooth and GPS devices.     

城市轨道交通客流密集度指数研究

基于轨道交通物联网监测数据，从点、线、面三个层级，构建不同时间粒度车站、线路、网络的客流密集度指数计算模型和算法。车站客流密集度指数模型综合考虑影响车站密集度指数的关键区域（出入口、站台、楼扶梯、换乘通道）的拥挤程度和拥挤范围因素；线路的客流密集度指数模型综合考虑车站和区间的影响；网络的客流密集度指数模型由各线路的客流密集度指数加权得到。测试结果表明，提出的模型计算结果与实际地铁客流出行规律一致，可较好地反映地铁拥挤程度，为地铁客流运营拥挤状态评价和辅助决策提供技术支持。     

基于熵权-物元模型的轨道交通建设时序研究

结合轨道交通建设特点,基于物元可拓数学方法、熵权理论和关联度函数,建立轨道交通建设时序决策的熵权物元可拓模型。该方法首先结合熵权理论,根据指标差异度对评价指标进行客观赋权;其次通过客观标准对评价指标的经典域进行区间界定,利用综合关联度将多指标的评价模型转化为单目标决策;然后依据定量测算的加权综合关联度值综合判定建设时序,最后以成都市轨道交通线网进行实例分析。结果表明:该决策算法所确定的结果与实际建设时序一致,且该算法可以极大拓展研究范围,表征更多分异信息,有效支撑城市轨道交通线网建设时序的综合决策。     

Prediction of wheel wear in urban railway transport: comparison of existing models

One of the most important maintenance costs in tramway transport comes from wear of wheel profiles. In the highly competitive railway market, the prediction of wear is then a major concern of the constructors. In this article, we present and compare four models well adapted to tramway conditions, involving contacts on the rolling tread and on the flange with very different sliding and pressure conditions. Moreover, all models can be implemented from the natural outputs of the railway simulation packages classically used in industry for the dynamics design of the vehicles. The first one, proposed by Jendel, is based on the well-known Archard's wear model. Enblom continues Jendel's approach by taking into account the contribution of wheel deformation on the sliding velocity. The last two models, developed by Zobory, and Pearce and Sherratt, determine the wear from the energy dissipation in the contact area. The models are first compared on a theoretical basis and, for that purpose, are rewritten in a common form. Two cases are distinguished: mild wear as arising on the rolling tread and severe wear as arising on the flange. The models are also compared in the practical case of an urban transport vehicle running on circular tracks with different curve radii. Although the models show equivalent trends according to the theoretical study, important discrepancies appear between estimated wear depths. All models are actually dependent on experimental coefficients and it is likely that they were estimated in different conditions. On the other hand, a reasonable agreement can be found in some particular conditions. As an example, Zobory's, Enblom's and Jendel's models are very close to each other in severe wear conditions. This work shows that a general and reliable model could probably be developed from all positive aspects of the existing ones.     

我国城市现阶段经济、社会功能定位新探

在我国当前的经济建设中，城市面临着模式转型的过程，同时也面对着不断产生的一系列新矛盾和新要求。文章着重对此加以探讨，并就我国新时期城市功能的新定位提出了建设性意见。     

宁波轨道交通轨道振动预测研究及优化

在轨道交通初步设计阶段地下线轨道减振设计中,对距外轨中心线两侧10~60 m范围内的环境敏感点,往往采用踏勘、工程类比等经验方法进行设计,具有一定的误差。在采用《环境影响评价技术导则城市轨道交通》(HJ453—2008)振动预测模型的基础上,参考北京、上海等城市的经验,研究适用于宁波轨道交通地下线轨道振动预测模型,并采用计算机语言实现预测模型程序化以提高设计效率。在初步设计阶段,振动预测的标准化、自动化,对稳定区间轨道高度,细化概算投资,减少设计反复具有重要意义。     

城市轨道交通列车自动监控系统的研究

介绍城市轨道交通ATS系统的结构、功能和接口。通过对系统关键技术的研究和当前城市轨道交通整体局势的分析，提出了该系统具有良好的使用价值和推广价值，及广泛的应用前景。     

西安至韩城城际铁路线路走向方案研究

西安至韩城城际铁路是关中城市群城际铁路网中的重要项目,线路方案受沿线城镇布局、城市规划、环境保护区、煤矿采空区、旅游开发区等多种因素影响。从规划选线、环保选线、地质选线、工程选线以及站位选线等不同方面,以综合选线的研究方法在众多的控制因素中通过技术经济比选和利益平衡选择出一个能够满足各方利益诉求的线路方案。目前本项目已经通过预可行性研究初步评审,评审专家和沿线地方政府均对推荐的线路方案予以肯定。     

Competition and disruption in a dynamic urban supply chain

Rapid changes and complexities in business environments have stressed the importance of interactions between partners and competitors, leading supply chains to become the most important element of contemporary business environments. There is a concomitant need for foresight in describing supply chain performance in all operating environments, including those involving punctuated disruptions. Furthermore, the urban metropolis is now widely recognized to be an environment which is especially vulnerable to supply chain disruptions and for which integrated supply chain decisions can produce very substantial net benefits. Accordingly, this paper presents a dynamic supply chain network model formulated as a differential variational inequality; the model is fashioned to allow consideration of supply chain disruption threats to producers, freight carriers, and retail enterprises. The DVI is solved using a fixed-point algorithm, and a simple numerical example, introduced to illustrate how the impacts of supply chain disruptions may be quantified, is presented.     

Clockwise hysteresis loops in the Macroscopic Fundamental Diagram: An effect of network instability

A recent study reported that the Macroscopic Fundamental Diagram of a medium size city exhibited a clockwise hysteresis loop on a day in which a major disturbance caused many drivers to use unfamiliar routes. It is shown below that, even in a perfectly symmetric network with uniform demand, clockwise loops are to be expected when there are disturbances, especially if the disturbances cause a significant fraction of the drivers to not change routes adaptively. It is also shown that when drivers are not adaptive networks are inherently more unstable as they recover from congestion than as they are loaded. In other words, during recovery congestion tends more strongly toward unevenness because very congested areas clear more slowly than less congested areas. Since it is known that uneven congestion distributions reduce network flows, it follows that lower network flows should arise during recovery, resulting in clockwise loops. Fortunately, the presence of a sufficient number of drivers that choose routes adaptively to avoid congested areas helps to even out congestion during recovery, increasing flow. Thus, clockwise loops are less likely to occur when driver adaptivity is high.