Instrumented city database analysts using multi-agents

The Instrumented City (iC) database is a multi-purpose, transport-related database facility for use by the entire academic transport research community. Data from the UK Leicester City Council and Nottinghamshire County Council Traffic Management Computers is logged and archived on a continuous basis, by the Leeds University’s Institute for Transport Studies. Since its inception in 1992, the iC database has been used for various real-time applications such as air quality and noise monitoring, modelling and forecasting. This paper describes the framework that demonstrates the feasibility of using multi-agents as information analysts to process and manage the iC database. The agents are adaptive, interactive and personal. They can be trained via the interactions with the users to be personalised for individual preferences. These agents are designed to be responsible for (1) data clean-up to remove outliers; (2) missing data substitutions; (3) statistical data analysis; (4) data mining to enhance the understanding of the relationships between traffic and air quality, noise and health; and (5) knowledge discovery by identifying unknown but potentially important patterns.     

A multi-agent architecture for cooperative inter-jurisdictional traffic congestion management

This paper describes , an innovative multi-agent architecture for the provision of real-time decision support to Traffic Operations Center personnel for coordinated, inter-jurisdictional traffic congestion management on freeway and surface street (arterial) networks. is composed of two interacting knowledge-based systems that perform cooperative reasoning and resolve conflicts, for the analysis of non-recurring congestion and the on-line formulation of integrated control plans. The two agents support incident management operations for a freeway and an adjacent arterial subnetwork and interact with human operators, determining control recommendations in response to the occurrence of incidents. The multi-decision maker approach adopted by reflects the spatial and administrative organization of traffic management agencies in US cities, providing a cooperative solution that exploits the agencies’ willingness to cooperate and unify their problem-solving capabilities, yet preserves the different levels of authority and the inherent distribution of data and expertise. The interaction between the agents is based on the functionally accurate, cooperative paradigm, a distributed problem solving approach aimed at producing consistent solutions without requiring the agents to have shared access to all globally available information. The cornerstone of this approach is the assumption that effective solutions can be efficiently obtained even when complete and up-to-date information is not directly available to the agents, thus reducing the need for complex data communication networks and synchronization time delays. The simulation-based evaluation of the system performance validates this assumption. The paper focuses on the distributed architecture of the agents and on their communication and decision making characteristics.     

Noise prediction for highways in Thailand

A model of highway traffic noise is formulated based on vehicle types. The data were collected from local highways in Thailand with free-flow traffic conditions. First, data on vehicle noise was collected from individual vehicles using sound level meters placed at a reference distance. Simultaneously, measurements were made of vehicles’ spot speeds. Secondly, are data for building the highway traffic noise model. This consists of traffic noise levels, traffic volumes by vehicle classification, average spot speeds by vehicle type, and the geometric dimension of highway sections. The free-flow traffic noise model is generated from this database. A reference energy mean emission level (the basic noise) level for each type of vehicles is developed based on direct measurement of Leq (10 s) from the real running condition of each type of vehicles. Modification of terms and parameters are used to make the model fit highway traffic characteristics and different types of vehicle.     

交通工程建设项目HSE管理体系构建探索

文章提出了通过构建交通工程建设项目HSE管理体系,以规范交通工程建设项目的健康、安全和环境行为,探讨了构建HSE管理框架模式和导则,建议形成一套可实施的HSE管理程序文件。     

舰船大风浪中航行最大允许航速计算模式研究

舰艇在大风浪中航行,当航向已定时如何确定最大允许航速是航海界关注的课题。本文采用CFD(计算流体力学)方法和耐波性理论相结合的新模式,分别研究了浪增阻、风增阻及螺旋桨推力损失的计算方法,给出了比较精确的舰艇大风浪航行时的船体负载。在此基础上,运用船—机—桨理论,解决了最大允许航速(轮转速)的求解问题。     

非灯控交叉口交通安全状况评价

非灯控交叉口是交通流中的节点,对非灯控交叉口的交通安全状况进行评价具有导向性意义。文章针对交叉口管控存在的问题,提出了交通安全状况评价原则和主要方法,阐述了非灯控交叉口交通安全的影响因素,并通过对沈阳市刘家窑十字交叉口进行交通安全状况评价,提出了具体的交叉口交通安全改善措施,以提高非灯控交叉口的交通安全性。     

山区集散二级公路接入口安全处置对策研究

山区集散二级公路交通组成复杂,沿线开口多,路侧行车干扰大,支路口无序接入极易引发交通事故。对接入口交通安全的影响因素进行了深入分析,按照交通特征等将接入口分为3种类型,提出了接入口安全保障对策,并以云南某二级公路为依托工程,对接入口改善措施进行效果评价。采用的接入口安全处置对策,对山区集散二级公路接入口的建设、管养均能适用,对于其他等级公路接入口处置同样具有指导作用。     

交通安全与智能控制专业职业能力评价初探

为适应珠三角地区智能交通发展的人才需求,培养符合市场需求的高级技术运用型人才,文中在分析交通安全与智能控制专业职业与岗位的基础上,构建基于T作过程的课程体系及课程标准,最后探讨交通安令与智能控制专业职业能力评价问题。     

面向色觉异常人群的机动车信号灯设计研究

针对色觉异常人群在不良可视环境下对交通信号辨识困难的问题,基于目前医学上普遍认同的色盲可见光谱和色盲色彩软件,结合我国交通信号灯特点及色觉异常者的视觉特征,设计一种比较经济可行的解决方案。通过在常规信号灯设备上加装辅助信号灯,并利用软件模拟色觉异常者的视觉进行对比分析,选取对比高的颜色作为辅助灯的颜色。方案效果模拟验证结果显示,本设计方案的交通信号具有较好的可辨识度,能够提高交通安全,体现了以人为本的设计理念。