Subjective-utility travel time budget modeling in the stochastic traffic network assignment

ABSTRACT

In this article, we propose a new model called subjective-utility travel time budget (SU-TTB) model to capture travelers' risk-averse route choices. In the travel time budget (TTB) and mean-excess travel time (METT) model, a predefined confidence level is needed to capture the risk-aversion in route choice. Due to the day-to-day route travel time variations, the exact confidence level is hard to be predicted. With the SU-TTB model, we assume travelers' confidence level belongs to an interval that they may comply with in the route choice. The two main components of SU-TTB are the utility function and the TTB model. We can show that the SU-TTB can be reduced to the TTB and METT model with proper utility function for the confidence levels. We can also prove its equivalence with our recently proposed nonlinear-expectation route travel time (NERTT) model in some cases and give some new interpretation on the NERTT with this equivalence. Finally, we formulate the SU-TTB model as a variational inequality (VI) problem to model the risk-averse user equilibrium (RAUE), termed as generalized RAUE (GRAUE). The GRAUE is solved via a heuristic gradient projection algorithm, and the model and solution algorithm are demonstrated with the Braess's traffic network and the Nguyen and Dupuis's traffic network.     

Approximate optimal AUTOSAR software components deploying approach for automotive E/E system

The AUTOSAR has been developed as the worldwide standard for automotive E/E software systems, making the electronic components of different suppliers to be employed universally. However, as the number of component-based applications in modern automotive embedded systems grows rapidly and the hardware topology becomes increasingly complex, deploying such large number of components in automotive distributed system in manual way is over-dependent on experience of engineers which in turn is time consuming. Furthermore, the resource limitation and scheduling analysis make the problems more complex for developers to find out an approximate optimal deploying approach in system integration. In this paper, we propose a novel method to deploy the AUTOSAR components onto ECUs with the following features. First, a clustering algorithm is designed for deploying components automatically within relatively low time complexity. Second, a fitness function is designed to balance the ECUs load. The goal of our approach is to minimize the communication cost over all the runnable entities while meeting all corresponding timing constraints and balancing all the ECUs load. The experiment results show that our approach is efficient and has well performance by comparing with other existing methods in specific and synthetic data set.     

圆形隧道施工对不同深度地层沉降影响的模型试验研究

为了预测圆形隧道施工引起地表以下不同埋深地层沉降特征,首先,通过理论推导不同地层最大沉降位移与沉降槽宽度系数的函数关系;然后,建立包括试验台架、地层模型、圆形隧道开挖模型以及测量地层变形装置的平面应变模型试验系统。通过理论解析和模型试验可知:1)地表以下地层的最大沉降位移与沉降槽宽度系数成反比;2)不同深度地层的沉降位移随着地层埋深的增加而增大,且地表以下地层沉降槽曲线仍然符合正态分布;3)通过对模型试验数据进行回归分析,得到黏土地表以下不同深度地层沉降槽宽度系数的计算公式,从而为预测圆形隧道施工地表以下不同深度地层竖向位移提供了一种可靠的计算方法。     

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通过常规阶段和奥运期间对出租车运行特征的监测与对比分析,研究奥运期间在交通限行背景下出租车出行规律和特征,评价出租车客运系统供给能力和运行效率,研究影响交通特征变化的有关因素,从而为今后大型活动的交通保障工作积累经验。研究结果表明,奥运期间出租车出车率达到92.26%,日均客运量较赛前增加19.2%,出租车空驶率由赛前的46.05%降低到37.06%;76.31%的受访者认为出租车运行速度较赛前有明显提高,而仅28.85%的受访者认为出租车候车时间明显变短,出租车服务水平还有待进一步提高。     

AMP激活的蛋白激酶对大鼠弥漫性轴索损伤后神经元自噬的调节

目的研究AMP激活的蛋白激酶(AMPK)信号通路在弥漫性轴索损伤(DAI)大鼠脑组织中的表达,探讨AMPK对DAI后神经自噬的调节机制。方法大鼠头颅瞬间旋转损伤法建立DAI模型,免疫蛋白印迹法检测造模后1、3、7d大脑皮层和海马AMPK、磷酸化AMPK(p-AMPK)、Beclin1、LC3Ⅰ/Ⅱ、p62蛋白的动态表达,并与正常组和假手术组比较。侧脑室给予AMPK抑制剂Compound C及激活剂AICAR,检测药物干预对大鼠神经自噬相关蛋白表达的影响,并与DAI组和vehicle组进行比较。结果与正常组和假手术组相比,DAI 1d后脑内AMPK信号通路激活,3d后脑内自噬水平上调;Compound C可以减少AMPK磷酸化激活同时下调脑内的自噬水平,AICAR可以增高AMPK磷酸化水平上调神经自噬改善神经功能损伤。结论大鼠DAI后AMPK的激活可以上调神经自噬的水平,对DAI后的神经保护有重要意义。     

基于IC卡和GPRS技术的RTG能源管理系统

为了提高轮胎吊(RTG)能源统计的准确性和信息化水平,结合PLC控制技术和GPRS无线通讯传输技术,开发设计了RTG能源管理智能IC卡及远程信息处理系统。介绍智能管理系统方案设计和硬件、软件的实现。通过远程信息处理为生产调度中心提供准确的实时数据,提高设备运行成本核算的信息化管理水平。     

分离卸荷式板桩码头工作性状的静力分析

分离卸荷式板桩码头,作为近年来一种新型码头结构形式,在保持传统板桩码头优势的同时,可适用于深水泊位。目前,对其工作性状和工作机理的理论研究还不够成熟。为进一步了解其工作性状,利用有限元软件ABAQUS对某分离卸荷式板桩码头进行有限元建模和静力分析,分析卸荷承台及群桩设置的作用及工作性状,为码头设计及优化提供相关依据。     

基于波导的空间功率合成技术研究进展

基于波导的空间功率合成技术是解决微波高频段固态大功率合成的一种有效技术.由于它具有频率高、功率大、合成效率高、可靠性高、具有适度恶化性等优点,因此成为微波高频段大功率合成系统的首选.论文介绍了基于波导的空间功率合成技术的需求,分析了基于波导的空间功率合成技术的几种方式,阐述了该技术的发展现状,并对基于波导的空间功率合成技术的发展提出了建议.     

重庆电厂东、西厂取水条件试验研究

通过模型试验研究,分析了重庆电厂东、西厂取水口河段泥沙淤积与河床演变、水流条件的变化以及漂浮物运动对取水口的影响,优化了取水口的布置,结果表明:取水口取水条件较好,漂浮物对其影响较小.