Sustainable urban futures from transportation and planning to networked urban mobilities

When discussing the future of cities, there is a tendency to focus on technology that will make cities and mobilities more sustainable. A bit further down the line the question of understanding or changing everyday practice arises – how to get people to transform their current mobility practice, or to adjust to the technologies introduced. As a key to understanding and changing practice I argue that storytelling plays a crucial role on different scales. In line with this, the concept of structural stories can be used to understand how specific framings of modes of transport guides everyday practices. To illustrate this, I will use the example of a concept of redesigning Copenhagen’s streets. On these streets space is redistributed so that pedestrians, cyclists and busses get more space, and more space is created for public places and city life. Consequently, the space allocated for cars and parking is scaled down.     

Border crossing delay prediction using transient multi-server queueing models

As a result of the continued increase in travel demand coupled with the need for tighter security and inspection procedures after September 11, border crossing delay has recently become a critical issue with tremendous economic and social costs. The current paper develops multi-server queuing models to estimate border crossing delay in support of a predictive traveler information system for the crossings. Two classes of multi-server models are considered: (1) models with exponential inter-arrival times and Erlang service times; and (2) a more generic model with a Batch Markovian Arrival Process (BMAP) and phase types (PH) services. As a case study, the models are developed based on real-time traffic volume and inspection time data collected at one of the major US–Canada border crossings, the Peace Bridge, and their transient solution is obtained using heuristic methods. For validation, the queueing models’ estimates are compared to the results from a detailed microscopic traffic simulation model of the Peace Bridge border crossing. The comparison shows that the transient queueing model, along its heuristic solution algorithm, is capable of predicting border crossing delay. Finally, a set of sensitivity analysis tests are conducted, and the developed models are incorporated within an optimization framework to help inform border crossing management strategies.     

System optimal dynamic traffic assignment: Properties and solution procedures in the case of a many-to-one network

Thanks to its high dimensionality and a usually non-convex constraint set, system optimal dynamic traffic assignment remains one of the most challenging problems in transportation research. This paper identifies two fundamental properties of the problem and uses them to design an efficient solution procedure. We first show that the non-convexity of the problem can be circumvented by first solving a relaxed problem and then applying a traffic holding elimination procedure to obtain the solution(s) of the original problem. To efficiently solve the relaxed problem, we explore the relationship between the relaxed problems based on different traffic flow models (PQ, SQ, CTM) and a minimal cost flow (MCF) problem for a special space-expansion network. It is shown that all the four problem formulations produce the same minimal system cost and share one common solution which does not involve inside queues in the network. Efficient solution algorithms such as the network simplex method can be applied to solve the MCF problem and identify such an optimal traffic pattern. Numerical examples are also presented to demonstrate the efficiency of the proposed solution procedure.     

Simultaneous modeling of individuals’ duration and expenditure decisions in out-of-home leisure activities

In this paper, we propose an activity model under time and budget constraints to simultaneously predict the allocation of time and money to out-of-home leisure activities. The proposed framework considers the activity episode level, given that the activity is scheduled. Thus, the model considers the decision of the quantities for duration and expenditure spent during the activity. We use a flexible utility function and show how the simultaneous equations can be estimated by using structural equations model (SEM) estimation techniques to handle the endogeneity problem of time and expenditure. The estimation results are based on a large national leisure diary data set collected in 2008 in the Netherlands, which provides detailed information about time and money spent as well as timing and location attributes of the activities. The analysis reveals that socio-demographics, travel party, timing and location variables influence the duration and expenditure of activity episodes. It shows that various socio-demographic groups display different preferences in terms of the time and money spent on activities. The results also indicate substitution relationships between spending more time and money for various activity categories. Thus it is concluded that the analysis provides useful results for a better understanding of combined time and money allocation decisions for leisure activities.     

Implementing first-in–first-out in the cell transmission model for networks

In traffic assignment models with time-varying flows (dynamic network loading or dynamic traffic assignment), overtaking behaviour is normally not included in the model and, in that case, it is important that the model at least approximates first-in–first-out (FIFO), to prevent deviations from FIFO that are arbitrary or unrealistic or not physically possible. For the cell transmission model (CTM) it has recently been shown that the usual recommended method for preserving FIFO will ensure FIFO for each cell taken separately but does not fully ensure FIFO in the transition between cells and hence does not fully ensure FIFO for sequences of cells or for links or for routes. As a result, deviations from FIFO can easily occur and cumulate along the links or routes. In view of that, we define and analyse three different levels of satisfaction or approximation of FIFO, together with corresponding methods for achieving them. Two of these are existing methods and one is new. We develop, analyse and compare the three methods and the extent to which each of them adheres to FIFO for sequences of cells and links or routes. Also, for two of the methods we present a more detailed algorithm for applying them within the CTM. The paper is concerned with how to implement FIFO in the CTM and not with testing for FIFO or measuring deviations from FIFO.     

车门外水切结构形式及设计分析

本文主要概述了汽车车门外水切密封条结构形式,通过2019上海车展分析未来外水切发展趋势,细致归纳不同结构形式所应用的车门结构、周边布置空间和设计要点,为后续外水切产品结构设计提供更有价值的参考。     

一维可压缩欧拉方程组解的爆破

在假设某些初始数据较大的条件下,研究由可压缩欧拉方程描述的多方气态理想流体.利用对称双曲型方程组解的存在性结论,将该方程组化为对称双曲型方程组,得到一维空间中可压缩欧拉方程的Cauchy问题的经典解关于时间的局部存在性;并通过构造适当的泛函,得到了其经典解在有限时间内必定发生爆破的结论.     

MIPX涡轮增压系统优化研究

对8缸柴油机可能的发火顺序，给出了可用的MIXPC系统排气支管分支，并就MIXPC系统排气管系结构参数优化作了研究，提出了设计的基本原则。用FVM-TVD方法，分别对不同的机型进行了MIXPC系统的结构设计和性能模拟研究，得出了在8缸上采用MIXPC系统的一些普遍规律，并就不同缸数的柴油机进行系列化生产提出了设计方法。     

铁道车辆板梁结构多方案对比分析

为合理处理铁道车辆车体上的板梁组合结构,解决车体结构分析中典型的板梁偏心连接问题,构建了偏心节点的节点位移关系式,利用APDL语言实现了批量约束方程的施加;并根据ANSYS软件中梁单元、板单元、实体单元的基本特征构造了5种板梁组合结构模型,对它们进行了有限元分析及对比.研究结果表明:对于同一典型的板梁结构,用板梁偏心组合建模(单点约束)方案得到的模型与用实体建模方案得到的模型有限元分析结果比较接近,用全板壳建模的两种方案均相对实体单元模型约束稍强,而用板梁偏心组合建模(双点约束)方案得到的模型则约束过强;同时采用板梁组合建模的模型单元数和节点数相对较少,可以节省计算机时,降低计算费用.