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概述了动态最优交通分配的研究现状，详细描述了动态交通用户最优状态与变分不等式模型的等价关系. 基于约束集合和行驶费用函数的描述，说明了变分不等式方法在动态最优交通分配中应用的必然. 最后，分类综述了动态用户最优分配变分不等式模型及其代表性文献，讨论了当前存在的几个主要问题及进一步的发展展望.     

Existence and Algorithm of Solutions for Generalized Mixed Implicit Quasi-Variational-Like Inequalities

By applying the auxiliary variational principle technique, the existence of solutions for a new class of generalized mixed implicit quasi-variational-like inequalities and the convergence criteria of a new iterative algorithm to compute approximate solutions are proved in Hilbert spaces. The obtained result is a improvement over and generalization of the main theorem proposed by Ding.     

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运用概率统计、混沌时间序列中小样本数据方法，分析了干扰对混合交通流速度的影响，结果表明干扰不影响交通速度的随机性，但是会降低混合交通的速度，而自行车群的干扰对机动车运行速度的影响大于单辆自行车，并且机动车车头时距在自行车周期性干扰下，对运行特性将由随机性变为混沌特性；接着从微观角度提出了干扰的计算方法。这些研究结论将为科学地进行交通管理奠定基础。     

基于MATLAB的强震数据库界面程序的开发

为使边坡在地震作用下的稳定性有可靠、便利的动力响应数据,利用Matlab/GUI工具,对原始地震数据进行分析处理,编制可以实现数据更新、多条件数据筛选、数据可视化以及文件操作的界面程序.该程序界面友好,操作简单,导出的数据可以直接用于相关的地震计算软件,是辅助地震作用计算的良好选择.本文基于筛选出的数据计算了1个厄瓜多尔矿区在强震下失稳的可能性.     

基于BIM的预制管片堆场存储与定位研究

针对上海地区预制管片堆场堆放层数不确定、堆场布局混乱、管片定位查找困难等问题,将有限元法(FEM)和建筑信息模型(BIM)技术相结合,通过对管片堆放层数仿真分析与管片定位研究,以期找到解决这些问题的方法。为此,先采用Abaqus有限元软件对预制管片堆场进行数值模拟以确定预制管片堆场每个堆位的管片堆放层数,再通过Revit、Navisworks等BIM软件对预制管片堆场进行虚拟布局。在此基础上提出一种基于BIM的混堆模式预制管片堆场定位新方法,该方法以BIM模型为核心,通过与二维码物联网技术和龙门吊智能化控制系统相结合来建立数据的转换与融合,从而实现在BIM终端三维可视化界面下对堆场中的预制管片进行精确定位查找与龙门吊最优路线运输作业。     

From user equilibrium to system optimum: a literature review on the role of travel information,bounded rationality and non-selfish behaviour at the network and individual levels

Travel information continues to receive significant attention in the field of travel behaviour research, as it is expected to help reduce congestion by directing the network state from a user equilibrium towards a more efficient system optimum. This literature review contributes to the existing literature in at least two ways. First, it considers both the individual perspective and the network perspective when assessing the potential effects of travel information, in contrast to earlier studies. Secondly, it highlights the role of bounded rationality as well as that of non-selfish behaviour in route choice and in response to information, complementing earlier reviews that mostly focused on bounded rationality only. It is concluded that information strategies should be tailor-made to an individual's level of rationality as well as level of selfishness in order to approach system-optimal conditions on the network level. Moreover, initial ideas and future research directions are provided for assessing the potential of travel information in order to improve network efficiency of existing road networks.     

Heterogeneous platoon flow dispersion model based on truncated mixed simplified phase‐type distribution of travel speed

Existing research on platoon dispersion models either describe homogeneous traffic flow feature, or are in lack of analytical solutions. By analyzing the field data, the truncated mixed simplified phase‐type distribution is proved to be capable of capturing the characteristics of heterogeneous traffic flow with an excellent fitting result. In light of this, we derive a generic heterogeneous platoon dispersion model with truncated mixed simplified phase‐type of speed in the forms of integrable functions. Numerical case studies are conducted to compare the performance of the proposed model and the conventional models (i.e., the Robertson model and truncated mixed Gaussian model). The results show that the proposed model not only better captures the platoon dispersion laws of heterogeneous traffic flow, but also presents higher computational efficiency, which provides practical implications on traffic signal control. Copyright © 2017 John Wiley & Sons, Ltd.     

Strategic evacuation planning with pedestrian guidance and bus routing: a mixed integer programming model and heuristic solution

This paper presents a mathematical model to plan emergencies in a densely populated urban zone where a certain numbers of pedestrians depend on transit for evacuation. The proposed model features an integrated operational framework, which simultaneously guides evacuees through urban streets and crosswalks (referred to as “the pedestrian network”) to designated pickup points (e.g., bus stops), and routes a fleet of buses at different depots to those pick‐up points and transports evacuees to their destinations or safe places. In this level, the buses are routed through the so‐called “vehicular network.” An integrated mixed integer linear program that can effectively take into account the interactions between the aforementioned two networks is formulated to find the maximal evacuation efficiency in two networks. Because the large instances of the proposed model are mathematically difficult to solve to optimality, a two‐stage heuristic is developed to solve larger instances of the model. Results from hundreds of numerical examples analysis indicate that proposed heuristic works well in providing (near) optimal or feasibly good solutions for medium‐scale to large‐scale instances that may arise in real transit‐based evacuation situations in a much shorter amount of computational time compared with cplex (can find optimal/feasible solutions for only five instances within 3 hours of running). Copyright © 2016 John Wiley & Sons, Ltd.     

A model‐based demand‐balancing control for dynamically divided multiple urban subnetworks

Traffic control is an effective and efficient method for the problem of traffic congestion. It is necessary to design a high‐level controller to regulate the network traffic demands, because traffic congestion is not only caused by the improper management of the traffic network but also to a great extent caused by excessive network traffic demands. Therefore, we design a demand‐balance model predictive controller based on the macroscopic fundamental diagram‐based multi‐subnetwork model, which can optimize the network traffic mobility and the network traffic throughput by regulating the input traffic flows of the subnetworks. Because the transferring traffic flows among subnetworks are indirectly controlled and coordinated by the demand‐balance model predictive controller, the subnetwork division can variate dynamically according to real traffic states, and a global optimality can be achieved for the entire traffic network. The simulation results show the effectiveness of the proposed controller in improving the network traffic throughput. Copyright © 2016 John Wiley & Sons, Ltd.     

Methodology to determine service delivery levels for public transportation

When designing transit services, the Level-of-Service concept has been widely used by transport planners and service providers to assess the service quality of an existing transit system. In addition to the service quality assessment, service providers also need to estimate the service levels that will satisfy a maximum number of users and potential users, across all socio-economic groups, so as to maximize patronage. This paper demonstrates a method using the concept of ‘user satisfaction levels’ and their ‘zone of tolerance’, along with total utility and marginal utility for service providers, to provide a range of service delivery levels for individual transit service attributes in the city of Kolkata. This range of service levels provides a guideline for service providers within which they can consider making an improvement in service level. However, the final decision on service improvement is an outcome of both financial and infrastructural feasibility.