节点递归算法优化合流管网

根据合流制管网系统的图论和矩阵算法 ,提出节点递归优化算法 ,以节点为研究对象 ,优化合流制管网系统。本算法能解决管网在交汇点处上下游管段衔接计算问题、溢流井设置问题 ,克服控制点不易确定的困难 ,达到了费用最低的优化目标 ;并可直接以节点标高为约束条件 ,充分考虑利用原有管道或解决地下管线交叉问题。并通过实例进行了验证     

Hub location with flow economies of scale

A characteristic feature of hub and spoke networks is the bundling of flows on the interhub links. This agglomeration of flows leads to reduced travel costs across the interhub links. Current models of hub location do not adequately model the scale economies of flow that accrue due to the agglomeration of flows. This paper shows that current hub location models, by assuming flow-independent costs, not only miscalculate total network cost, but may also erroneously select optimal hub locations and allocations. The model presented in this paper more explicitly models the scale economies that are generated on the interhub links and in doing so provides a more reliable model representation of the reality of hub and spoke networks.     

驾驶员动视力对交通安全的影响及检测系统的研究

本文就驾驶员动视力的好坏对行车安全的影响进行了探讨,重点分析了驾驶员事故群与无事故群动视力的差异的显著性,论述了检测驾驶员动视力的必要性。同时介绍了动视力检测仪的检测原理、仪器的结构及检测方法。该仪器可以自动地对各类人员进行动视力、动静视力和静视力的检测。     

碳纤维加劲塑料在桥梁工程中的应用

碳纤维加劲塑料（ＣＦＲＰ）是一种高强、轻质、耐腐蚀、耐疲劳的现代复合材料，随着人们对现代复合材料的不断研究、开发和认识，其在结构工程中的应用将日趋增多。尽管ＣＦＲＰ价格较贵，但若能有效利用其独特的性能，则其经济效益将是显著的。介绍ＣＦＲＰ材料的特点以及在桥梁工程中的几种应用途径。     

交通综合信息平台建设研究

建立一个基于GIS-T的交通综合信息平台。它能够接受、存储和处理多源异构数据．能够为各种应用子系统和公众提供良好的信息服务。同时，对平台的框架设计、功能构成以及平台实现的关键技术进行说明和分析。     

柴油机曲轴有限元计算与台架试验数据对比分析

目前，国内柴油机行业普遍使用的曲轴弯曲疲劳强度试验台架，均采用音叉共振板结构。该试验台架对于大多数常规结构曲轴的连杆轴颈圆角疲劳强度的测定是比较准确的，但对于有些特殊结构曲轴的试验，却未能取得理想结果。以某曲轴台架试验、台架仿真模型及有限元计算模型数据为基础，分析对比了不同模型数据的差异及产生原因。     

机动车行驶速度检测系统的设计及其在高速公路交通管理中的应用

在目前先进的视频检测技术、车牌号码识别技术、无线通信网络技术、GPS授时技术、计算机技术等高新技术的基础上，对设计出适用于广东省现行高速公路实际的机动车行驶速度检测系统加以阐述，并对该系统与其他应用系统相结合，投入交通监控的应用情况加以介绍。     

Fuzzy-logic applied to yaw moment control for vehicle stability

In this paper, we propose a new yaw moment control based on fuzzy logic to improve vehicle handling and stability. The advantages of fuzzy methods are their simplicity and their good performance in controlling non-linear systems. The developed controller generates the suitable yaw moment which is obtained from the difference of the brake forces between the front wheels so that the vehicle follows the target values of the yaw rate and the sideslip angle. The simulation results show the effectiveness of the proposed control method when the vehicle is subjected to different cornering steering manoeuvres such as change line and J-turn under different driving conditions (dry road and snow-covered).     

Target priority determination methods by interval-valued intuitionistic fuzzy sets with unknown attribute weights

The paper aims at the problem of multi-targets threat degree being hard to be evaluated accurately in complex air defense battlefield environments. Combined with multi-sensors information fusion and interval-valued intuitionistic fuzzy sets (IVIFS) theories, the target priority determination is studied. The score and accuracy functions of IVIFS are improved with thinking about the hesitating information in order to increase the rationality. Then, the influence factors of target priority and the nonlinear relationship between the influence factors and target priority are analyzed. Next, the algorithms for calculating the factor weights and sensor weights are given. Based on the theory of IVIFS and technique for order preference by similarity to an ideal solution (TOPSIS), two methods of target priority determination based on the IVIFS and TOPSIS are proposed. At last, an application example verifies the effectiveness and flexibility of the proposed algorithms.     

Exploring the impact of walk–bike infrastructure,safety perception,and built-environment on active transportation mode choice: a random parameter model using New York City commuter data

This study estimates a random parameter (mixed) logit model for active transportation (walk and bicycle) choices for work trips in the New York City (using 2010–2011 Regional Household Travel Survey Data). We explored the effects of traffic safety, walk–bike network facilities, and land use attributes on walk and bicycle mode choice decision in the New York City for home-to-work commute. Applying the flexible econometric structure of random parameter models, we capture the heterogeneity in the decision making process and simulate scenarios considering improvement in walk–bike infrastructure such as sidewalk width and length of bike lane. Our results indicate that increasing sidewalk width, total length of bike lane, and proportion of protected bike lane will increase the likelihood of more people taking active transportation mode This suggests that the local authorities and planning agencies to invest more on building and maintaining the infrastructure for pedestrians. Further, improvement in traffic safety by reducing traffic crashes involving pedestrians and bicyclists, will increase the likelihood of taking active transportation modes. Our results also show positive correlation between number of non-motorized trips by the other family members and the likelihood to choose active transportation mode. The model would be an essential tool to estimate the impact of improving traffic safety and walk–bike infrastructure which will assist in investment decision making.