Nonlinear pricing in linear cities with elastic demands

Nonlinear road pricing charges each traveler based on his/her trip’s corresponding particular attribute level. In order to help authorities in designing road pricing systems at a strategic level, this paper attempts to address two fundamental questions: (i) what is the value of pricing’s nonlinearity for mitigating traffic congestion? (ii) if a nonlinear toll function is implemented, should it be convex, concave or other shape? Specifically, we consider distance-based pricing in linear cities. For linear monocentric cities with heterogeneous travelers, we show that the system optimal distance-based pricing indeed exhibits nonlinearity. It is proved that: (i) the cost-based system optimal toll function is monotonically increasing and concave with respect to the traveled distance; (ii) the time-based system optimal toll function always exists and is unique. If the initial proportion of each traveler group is invariant along a corridor and the demand function is of exponential type, then the time-based system optimal toll function enables the travelers, living further away from a city center, to face a lower toll level per unit distance. For a linear polycentric city, we demonstrate: (i) there always exists the system optimal differentiated (in terms of city centers) toll functions; (ii) it is highly possible that the system optimal non-differentiated toll function does not exist. Hence, we further propose an optimal toll design model, prove the Lipschitz continuity of its objective and adopt a global-optimization algorithm to solve it.     

Socially optimal electric driving range of plug-in hybrid electric vehicles

This study determines the optimal electric driving range of plug-in hybrid electric vehicles (PHEVs) that minimizes the daily cost borne by the society when using this technology. An optimization framework is developed and applied to datasets representing the US market. Results indicate that the optimal range is 16 miles with an average social cost of $3.19 per day when exclusively charging at home, compared to $3.27 per day of driving a conventional vehicle. The optimal range is found to be sensitive to the cost of battery packs and the price of gasoline. When workplace charging is available, the optimal electric driving range surprisingly increases from 16 to 22 miles, as larger batteries would allow drivers to better take advantage of the charging opportunities to achieve longer electrified travel distances, yielding social cost savings. If workplace charging is available, the optimal density is to deploy a workplace charger for every 3.66 vehicles. Moreover, the diversification of the battery size, i.e., introducing a pair and triple of electric driving ranges to the market, could further decrease the average societal cost per PHEV by 7.45% and 11.5% respectively.     

基于价值工程的全生命周期趸船材质方案比选研究

将趸船整个生命周期过程中的技术先进性、经济合理性和环境协调性有机地融合为一体,基于价值工程理论提出趸船材质方法比选。实例表明在千岛湖这样的大吨位船舶碰撞概率很小的水域,采用混凝土趸船明显优于钢质趸船。     

米思米软件在模具工业中应用的可行性分析

本文介绍了米思米软件的创立以及三大功能,分析了该软件的优越性,得出作为标准件的全球性软件,在企业中米思米软件可以缩短设计时间,提高采购部门的效率,最终缩短整个从设计到制作的时间;在教学中米思米软件可以提高学生学习兴趣,巩固理论知识,强化实践操作,其应用前景非常广阔。     

A new model for temporal–spatial stochastic analysis of vehicle–track coupled systems

The vehicle–track coupled system has a random nature in the time–space domain. This paper proposes a computational model to analyse the temporal–spatial stochastic vibrations of vehicle–track systems, where the vehicle–track system is divided into a vehicle subsystem, track subsystem, and interfacial subsystem between the wheel and rail. In this model, the time-varying randomicity of dynamical parameters of the vehicle system, correlation, and randomness of the track structural parameters in the time–space joint dimensions, and randomness of the track random irregularities are considered. A probability dimension-reduction method was used to randomly combine different random variables. Furthermore, the probability density evolution method was applied to solve the delivery problem of probabilities between excitation inputs and response outputs. The temporal–spatial stochastic vibrations of the vehicle–track system with different coefficients of variation were studied, in which we assumed that the dynamic parameters obeyed the normal distribution, and the stochastic simulation method of the track random irregularities is probed into. The calculated results from this model are consistent with the actual measured results and physical conceptions. Thus, the temporal–spatial stochastic evolutionary mechanism can be explored, and the limits of dynamic indices can be formulated by using this developed model.     

基于小波和粒子群算法的HEV行驶状况辨识方法研究

针对混合动力汽车(HEV)行驶状况(道路坡度和整车载荷)变化难以有效识别,导致驱动系统控制策略不能有效满足驾驶员意图问题,以混联式HEV为研究对象,提出了基于小波滤波和粒子群算法的HEV行驶状况辨识方法。首先建立了汽车行驶状况辨识模型,采用最小二乘法确立了优化目标函数,其次研究了基于小波滤波和粒子群算法的HEV行驶状况辨识原理,最后进行了行驶状况粒子群智能算法辨识试验。在采集实车数据的基础上,对实车数据进行小波滤波,并运用行驶状况辨识方法对道路坡度和整车载荷进行了辨识,并对辨识结果进行小波滤波,结果表明,试验工况下整车载荷辨识的相对误差绝对平均值为2.71%,道路坡度辨识的相对误差绝对平均值为3.85%,验证了所提出方法的有效性。     

基于系统集成理论的城市道路景观设计

在我国城市道路景观实践过程中,由于建造时序的不同,城市道路的“景观破碎、缺乏集成”和“豪华奢侈、脱离实际”,不利于城市系统的和谐发展。鉴于此,本文在深入分析城市道路景观建设目标的基础上,独辟蹊径从系统范畴的角度探讨了一种“集成”的道路景观设计理念,为城市道路景观的建设提供了一个新的思路。     

关于公交停靠站影响区范围的研究

随着城市公共交通系统的发展,公交停靠站对道路交通流的影响已逐渐引起人们的注意。分析公交停靠站的影响首先应该对停靠站的影响区范围进行界定。在分析前人研究成果的基础上,基于交通波理论,按考虑超车与否,分析公交停靠站的影响区范围长度,得到不同交通流密度条件下公交停靠站影响区长度的计算公式。     

快速老化小鼠的学习记忆缺陷及其生化机制

目的用快速老化小鼠(SAMP8)模拟老年痴呆,观察其学习记忆能力,并探讨其学习记忆能力下降的可能机制。方法采用10月龄SAMP8,并用同龄抗快速老化小鼠(SAMR1)作为正常对照。用水迷路检测近记忆以及空间学习记忆能力。用生物化学方法检测大脑皮层线粒体膜电位和ATP酶活力,观察线粒体功能;检测皮层和海马胆碱乙酰基转移酶(ChAT)和乙酰胆碱酯酶(AChE)的活力,观察中枢胆碱能神经功能;检测血清超氧化物歧化酶(SOD)活力和丙二醛(MDA)含量,观察其全身性氧化应激状况。结果与SAMR1相比,SAMP8出现明显的衰老体征,其近记忆和空间学习记忆能力明显减弱,具有衰老和痴呆特征;皮层线粒体膜电位和ATP酶活力显著降低,海马ChAT活力显著下降,AChE活力显著升高,血清SOD活力稍有增高。结论SAMP8可以很好地模拟老年痴呆,其机制包括大脑皮层线粒体功能降低、海马胆碱能神经功能下降以及氧化应激等。     

QoS awared power and admission controls based on non-cooperative game theory in wireless networks

In order to better accommodate heterogeneous quality of service (QoS) in wireless networks, an algorithm called QeS-aware power and admission controls (QAPAC) is proposed. The system is modeled as u non- cooperative game where the users adjust their transmit powers to maximize the utility, thus restraining the interferences. By using adaptive utility functions and tunable pricing parameters according to QoS levels, this algorithm can well meet different QoS reqniremcnts and improve system capacity compared with those that ignore the QoS differ- ences.