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.     

基于硬化泥膜的填舱换刀技术研究

为了解决砂土地层盾构刀盘换刀作业面易涌水、涌砂进而导致作业面失稳坍塌问题,采用水泥砂浆和膨润土浆液组成的混合浆液在土舱压力作用下,通过刀盘开口向砂土地层渗透,经固化后在原有稳定泥膜的基础上形成新型混合泥膜,在利用风镐清除土舱内硬化混合浆液的同时,保留刀盘前段形成的混合泥膜,即可进行盾构刀盘换刀作业。通过在广州某地铁盾构施工项目中的应用,表明本施工技术能为砂土地层盾构换刀提供高效且安全的解决方案。     

A data model applied to the knowledge-based ICAS

Image-guided computer aided surgery system (ICAS) contributes to safeness and success of surgery operations by means of displaying anatomical structures and showing correlative information to surgeons in the process of operation. Based on analysis of requirements for ICAS, a new concept of clinical knowledge-based ICAS was proposed. Designing a reasonable data structure model is essential for realizing this new concept. The traditional data structure is limited in expressing and reusing the clinical knowledge such as locating an anatomical object, topological relations of anatomical objects and correlative clinical attributes. A data structure model called mixed adjacency lists by octree-path-chain (MALOC) was outlined, which can combine patient's images with clinical knowledge, as well as efficiently locate the instrument and search the objects' information. The efficiency of data structures was analyzed and experimental results were given in comparison to other traditional data structures. The result of the nasal surgery experiment proves that MALOC is a proper model for clinical knowledge-based ICAS that has advantages in not only locating the operative instrument precisely but also proving surgeons with real-time operation-correlative information. It is shown that the clinical knowledge-based ICAS with MALOC model has advantages in terms of safety and success of surgical operations, and help in accurately locating the operative instrument and providing operation-correlative knowledge and information to surgeons in the process of operations.     

城市混合交通控制设计理念与方法

针对我国城市特有的混合交通特性,在分析城市路网特征和交通流运行特征的基础上,确立了混合交通控制系统设计的基本理念。基于混合交通流理论,建立了城市交通控制的方法体系,包括匝道控制、单点控制、干线协调控制、区域协调控制以及公交优先控制。运用此设计理念与方法开发出的混合交通控制系统（HiCON）,在北京、青岛、福州三地的应用表明：车辆平均延误减少10％～20％,平均行程时间降低5%-10％。     

“船舶—堆场—列车”混堆堆场箱位分配模型

集装箱海铁联运港口堆场作业箱型复杂,为了提高港口作业能力和效率,基于进口、出口箱的混合堆存方式,对"船舶-堆场-列车"作业堆场箱位分配问题进行研究."船舶-堆场-列车"作业堆场负责堆存通过船舶、列车及外集卡进出港口的集装箱.本文在待分配箱的作业时间及箱区已知的前提下,以集装箱堆存产生的压箱数最小为目标,建立"船舶-堆场-列车"作业混堆堆场箱位分配模型,根据模型特点设计了启发式算法进行求解,并进行算例分析.结果表明,所建模型和求解算法能够有效减少堆场的压箱数,满足箱型堆存要求,提高港口作业效率.     

机动车交通流比功率与能耗模型研究

为研究机动车交通流能耗,将机动车交通流比功率(VSP)作为研究对象.从最常见的单车比功率研究出发,使用气体动力学交通流模型联系单车比功率与交通流整体比功率,以此建立交通流比功率模型.为使此模型具备更显著的物理意义,将交通流比功率分为两部分,一部分为平衡交通流状态下的比功率,另一部分为偏离平衡交通流状态导致的比功率变化量,模型中的交通流参数与变量能够通过现有的交通流探测设备获取.将比功率理论模型从单车扩展到了交通流,用数学公式反应了交通流状态与比功率的关系,并且证明了交通流比功率能够通过交通流参数进行估计.并由交通流比功率出发,推导出交通流比功公式.此外研究了平衡态交通流比功率及比功与密度的关系.为研究机动车交通流能耗探索了新的思路.     

公共自行车近期文献综述

提供公共自行车服务的城市数量快速发展,从20世纪90年代末屈指可数发展到如今超过800个。通过综述近期公共自行车文献,总结公共自行车研究领域的若干议题。便捷性是出行者使用公共自行车的主要动机。省钱是促使低收入群体使用的原因,与停放站间距离是预测会员数量的重要指标。在一些国家,只有不到半数会员每月使用率少于一次。男性使用率高于女性,但性别失衡情况并未如私人自行车那样显著(至少在自行车使用率低的国家)。年会员最普遍的出行目的是通勤。与私人自行车使用者相比,公共自行车使用者不常佩戴头盔,但在法律强制佩戴头盔的国家,其使用水平则受到影响。公共自行车使用者相比私人自行车使用者不易受伤。未来发展方向包括电动自行车集成、GPS全球定位系统、无停放站系统和改进的公共交通一体化。指出应开展更多研究量化公共自行车在出行方式选择、尾气排放、拥堵和健康方面的影响。     

船用低速柴油机曲轴轴向振动研究

以船用大功率低速柴油机柔性体曲轴为对象,在考虑气体力、运动部件惯性力、扭纵耦合效应等因素的情况下,建立曲轴、连杆、活塞的刚柔混合动力学模型。通过数值仿真,分别对连杆推力、连杆法向力和切向力对曲轴轴向振动的影响进行分析。分析结果表明：法向力是曲轴轴向振动的直接激励源,切向力是曲轴轴向振动的间接激励源-切向力引起曲轴扭振,进而引起曲轴纵振;同时法向力和切向力对曲轴轴向振动的影响非常相近;而连杆推力(法向力和切向力合力)引起的曲轴轴向振动是扭纵耦合振动的结果,并非两种分力作用结果的简单叠加。     

深水张力腿平台非线性涡激特性及水动力性能研究

平台涡激运动易导致立管及系泊系统疲劳损伤,危害其安全稳定性。该文引入雷诺平均法求解NS方程结合DES湍流模型对不同流速下深水张力腿平台三维涡激运动及流场特性进行了数值研究。采用GAMBIT软件建立计算网格,将求解动力学控制方程的代码嵌入UDF求解器中,采用动网格技术实现流场更新并求得作用于平台立柱和浮箱上的瞬时升力和拖曳力。采用最大值统计法和均方根统计法进行数据统计。研究发现:张力腿平台涡激运动流向振幅的大小随着约化速度的增大而增大,但在小范围内波动;横向振幅曲线最大值出现在0°来流、约化速度U~*=8.0处,大小为0.38D;三种来流工况流向平衡位置随无因次速度的增大而增大,但增长速度有所区别,22.5°和45°下流向平衡位置的增加速度要明显大于0°来流;22.5°来流升力系数谱能量较为分散,立柱及浮箱之间的干扰具有强非线性效应;最后对张力腿平台表面压力系数分布及涡量等值面特性进行了分析和探讨。     

A new schedule-based transit assignment model with travel strategies and supply uncertainties

This paper proposes a new scheduled-based transit assignment model. Unlike other schedule-based models in the literature, we consider supply uncertainties and assume that users adopt strategies to travel from their origins to their destinations. We present an analytical formulation to ensure that on-board passengers continuing to the next stop have priority and waiting passengers are loaded on a first-come-first-serve basis. We propose an analytical model that captures the stochastic nature of the transit schedules and in-vehicle travel times due to road conditions, incidents, or adverse weather. We adopt a mean variance approach that can consider the covariance of travel time between links in a space–time graph but still lead to a robust transit network loading procedure when optimal strategies are adopted. The proposed model is formulated as a user equilibrium problem and solved by an MSA-type algorithm. Numerical results are reported to show the effects of supply uncertainties on the travel strategies and departure times of passengers.