Simulating ad-hoc demand-responsive transportation: a comparison of three approaches

Transport models are used to evaluate new infrastructure and public transport services, varied levels of demand, and new ideas for demand management. Exploring these proposals virtually is easier than implementation and testing in situ. However, existing models are based around traditional forms of transportation. As part of a feature analysis using a case study approach, three different simulation packages (a simple custom-developed package, traffic microsimulation, and agent-based simulation) are used to develop and demonstrate simulations of demand-responsive transportation (DRT) and analyze the advantages and disadvantages of each simulation approach for evaluating DRT. While the simulations display some relational replication (meaning they produce similar relational patterns with respect to certain variables), they do not show distributional replication (that is, the value of the results is not statistically similar), meaning that under- or over-estimation of predicted travel could occur. Recommendations for the application of each modeling approach are made.     

Assessing the impact of reduced visibility on traffic crash risk using microscopic data and surrogate safety measures

Due to the difficulty of obtaining accurate real-time visibility and vehicle based traffic data at the same time, there are only few research studies that addressed the impact of reduced visibility on traffic crash risk. This research was conducted based on a new visibility detection system by mounting visibility sensor arrays combined with adaptive learning modules to provide more accurate visibility detections. The vehicle-based detector, Wavetronix SmartSensor HD, was installed at the same place to collect traffic data. Reduced visibility due to fog were selected and analyzed by comparing them with clear cases to identify the differences based on several surrogate measures of safety under different visibility classes. Moreover, vehicles were divided into different types and the vehicles in different lanes were compared in order to identify whether the impact of reduced visibility due to fog on traffic crash risk varies depending on vehicle types and lanes. Log-Inverse Gaussian regression modeling was then applied to explore the relationship between time to collision and visibility together with other traffic parameters. Based on the accurate visibility and traffic data collected by the new visibility and traffic detection system, it was concluded that reduced visibility would significantly increase the traffic crash risk especially rear-end crashes and the impact on crash risk was different for different vehicle types and for different lanes. The results would be helpful to understand the change in traffic crash risk and crash contributing factors under fog conditions. We suggest implementing the algorithms in real-time and augmenting it with ITS measures such as VSL and DMS to reduce crash risk.     

Impact of regional population density on walking behavior

Land use can influence walking (measured by the number of steps) and so the health of people. This paper presents the result of empirical research on the impact of regional population densities (inhabitants per inhabitable area) on the number of steps (all steps, both outdoors and indoors). With data collected from almost 11,000 respondents in 148 Japanese regions, we estimate polynomial regression models, the total number of steps being the dependent variable and densities being the main independent variable. Regional population density significantly affects the number of steps after controlling for individual and household attributes. The estimated population density that maximizes the number of steps is around 11,000?persons/km². Increasing densities, up to levels of around 11,000?inhabitants/km², could increase walking and consequently the health of inhabitants. The population density elasticity of the number of steps is 0.046–0.049 in a simple log linear regression model without a peak.     

青岛地铁蓄电池工程维护车车钩挂梁结构设计

文章分析了青岛地铁2号线蓄电池工程维护车出现车钩"低头"现象的原因,并给出了一种通过加装车钩挂梁结构以支撑车钩的解决方案。文章还对挂梁结构进行了强度校核,确保该结构满足实际工况需求。     

基于BIM设计的道岔设备建模方法研究

为了解决站场BIM设计中道岔与岔线建模繁琐、定位捕捉困难等问题,基于最新的OpenRail软件环境,对MicroStation直接建模和道岔设备抽象化线性建模两种思路进行比较分析。经研究,线性建模方法更适合站场BIM设计。针对线性建模手段,将道岔的主要设备及尺寸信息转化为标准化道岔库元素和标记,然后按抽象化的道岔元素及标记信息进行xml文件编程,得到了较好的应用体验。     

Fueling for contingencies: The hidden cost of unpredictability in the air transportation system

The aviation community is increasing its attention on the concept of predictability when conducting aviation service quality assessments. Reduced fuel consumption and the related cost is one of the various benefits that could be achieved through improved flight predictability. A lack of predictability may cause airline dispatchers to load more fuel onto aircraft before they depart; the flights would then in turn consume extra fuel just to carry excess fuel loaded. In this study, we employ a large dataset with flight-level fuel loading and consumption information from a major US airline. With these data, we estimate the relationship between the amount of loaded fuel and flight predictability performance using a statistical model. The impact of loaded fuel is translated into fuel consumption and, ultimately, fuel cost and environmental impact for US domestic operations. We find that a one-minute increase in the standard deviation of airborne time leads to a 0.88 min increase in loaded contingency fuel and 1.66 min in loaded contingency and alternate fuel. If there were no unpredictability in the aviation system, captured in our model by eliminating standard deviation in flight time, the reduction in the loaded fuel would between 6.12 and 11.28 min per flight. Given a range of fuel prices, this ultimately would translate into cost savings for US domestic airlines on the order of $120–$452 million per year.     

拱墩降温对大跨桥上连续式无砟轨道竖向位移影响分析

受季节和日照的影响,高墩大跨拱桥混凝土结构会出现膨胀现象,从而引起桥墩顶部竖向位移的变化。为了研究拱墩降温对高墩大跨拱桥上连续式无砟轨道竖向位移和高低不平顺的影响,根据桥上连续式无砟轨道的结构和受力特征,参考国内某大跨度上承式钢筋混凝土拱桥的实际参数,利用有限元方法,建立线-桥-墩一体化模型,分析拱墩降温对大跨拱桥上连续式无砟轨道的竖向位移和高低不平顺的影响。结果表明:拱墩降温引起的大跨桥上线路竖向位移较明显,设计时不可忽略;拱墩降温会引起线路高低不平顺,且对长波不平顺影响最严重;线路高低不平顺随降温幅度增加而增大,在年温差较大的地区目前不建议高墩大跨拱桥与连续式无砟轨道配合设计使用。     

在建盾构隧道突发管片破损病害成因分析及治理措施研究北大核心CSCD

盾构法广泛应用于我国城市轨道交通隧道的建设中,盾构管片的病害问题也越发受到重视。文章针对某地铁在建盾构隧道突发管片破损病害,绘制了管片破损病害展布图,分析了相关资料和检测数据,明确了病害的成因机理,制定并实施了相应治理措施。研究结果表明:管片背后大范围空洞导致围岩对隧道的约束不足,引起已成型隧道在盾构机反推力和扭矩、同步注浆浆液浮力、刀盘水土压力和扭矩等作用下发生类压杆弯扭失稳是导致该病害的主要原因;隧道变形监测数据表明"背后注浆填充+破损部位修复"两阶段治理措施取得了良好的治理效果;盾构隧道施工过程中,应严格管控同步注浆质量,防止隧道轴线偏移引起盾构管片发生开裂破损等病害。     

洋山深水港区进港海堤变形观测及分析

为了解洋山深水港区西港区A区陆域形成对进港海堤的影响,自2006年10月初开始对进港海堤进行变形观测,此项工作至今仍在观测中.根据2006年10月至2007年12月,15个月的观测资料,阐述东海大桥进港海堤的变形观测方法与精度,同时,结合地质资料分析变形观测的数据.     

真空预压软基处理工程监测

介绍真空预压软基处理工程中一些常用的监测手段及监测方法.结合工程实例,通过综合运用表层沉降监测、孔隙水压力监测、分层沉降监测、地下水位观测等手段,分析真空预压软土地基处理方法的加固效果,可供软土地基处理设计与施工参考.