进一步改进交通法则 解决城市交通问题

在城市交通流的管理过程中,本文引入“交通流重新排队”和“公共交通排队优先”两种管理模 式。在交通管理信号的红灯时间段,实现交通流重新排队。在这一重新排队过程中,公共交通有优先权。这 就产生了一种新的交通管理信号法则——公共交通优先通行法则。公共交通优先通行法则,指挥公共交通优 先通行,同时通过对配时时刻的调整,抑制非公...     

浅析SBS改性沥青路面的施工工艺

SBS改性沥青具有很好的抗低温开裂的能力,较好的抗车辙能力,在国内高等级公路、城市干道和机场跑道中都有广泛应用,从施工工艺角度对此进行了分析.     

多尺度图像边缘检测技术在车辆识别中的应用

指出了图像边缘检测的定义及现有算法的不足,并对Canny边缘检测离散准则及该准则下的最优线性滤波器进行了论述。根据边缘检测离散准则,利用数值方法求出该准则下边缘检测的最优线性滤波器及对应的平滑算子,将其与Canny边缘检测技术相结合进行边缘检测,检测出不同尺度下多幅边缘图像,并根据小尺度下图像边缘细节信息丰富、边缘定位精度高,大尺度下图像边缘稳定、抗噪性好等特点,将检测到的多尺度边缘进行融合,得到抗噪性好的精确的单像素宽边缘;同时将该方法应用于汽车特征提取,检测到完整连续的汽车边缘图像,为车型识别提供条件。试验结果表明:该方法不仅能准确检测出图像边缘,而且能有效地抑制噪声,是边缘检测的实用方法。     

我国航运企业发展现代物流的战略思考

世界经济一体化进程不断加快,一些国际航运公司实施全球承运人战略,纷纷抢占包括我国在内的世界物流服务市场。我国航运企业面临着如何对日益激烈的市场竞争局面。现就我国航运企业发展物流服务的必要性。开展物流服务的机遇与挑战以及对策等三个方面作系统的研讨。     

智能新能源船舶的概念及关键技术

绿色和智能是当前船舶技术的发展趋势。文章首先提出了智能新能源船舶的概念,并介绍了智能新能源船舶的内涵、特点和系统构成;然后,从船舶航行、动力和推进3个方面分析了智能新能源船舶的关键技术;最后,对智能新能源船舶的未来发展进行展望。研究结果可为船舶的创新研究提供技术支持,引领船舶技术转型升级的发展方向。     

集装箱多式联运公共信息平台建设研究

针对我国集装箱多式联运发展滞后,铁路、公路、航空、水运等各为独立系统,条块分割,导致各种运输方式之间缺乏紧密衔接和有效联动的实际,研究建立以集装箱铁路运输为骨干的、有机整合各种运输方式的集装箱多式联运公共信息平台。通过信息技术创新带动机制创新,通过信息化对物流、信息流、资金流进行有效整合,大力发展集装箱多式联运,促进我国物流业整体发展水平的提升。     

环氧沥青洒布车的研制与应用

文章基于环氧沥青洒布车研制历程,针对环氧沥青桥面防水粘结层施工的特殊性,介绍了环氧沥青洒布车的功能设计、结构特点及工作原理,分析了其技术优越性,为桥面防水粘结层施工机械的选用提供参考。     

An agent-based approach to modelling driver route choice behaviour under the influence of real-time information

This paper presents an agent-based approach to modelling individual driver behaviour under the influence of real-time traffic information. The driver behaviour models developed in this study are based on a behavioural survey of drivers which was conducted on a congested commuting corridor in Brisbane, Australia. Commuters’ responses to travel information were analysed and a number of discrete choice models were developed to determine the factors influencing drivers’ behaviour and their propensity to change route and adjust travel patterns. Based on the results obtained from the behavioural survey, the agent behaviour parameters which define driver characteristics, knowledge and preferences were identified and their values determined. A case study implementing a simple agent-based route choice decision model within a microscopic traffic simulation tool is also presented. Driver-vehicle units (DVUs) were modelled as autonomous software components that can each be assigned a set of goals to achieve and a database of knowledge comprising certain beliefs, intentions and preferences concerning the driving task. Each DVU provided route choice decision-making capabilities, based on perception of its environment, that were similar to the described intentions of the driver it represented. The case study clearly demonstrated the feasibility of the approach and the potential to develop more complex driver behavioural dynamics based on the belief–desire–intention agent architecture.     

Public perceptions of the use of dynamic message signs

Intelligent transportation systems have been promoted as a means to improve both the efficiency and safety of the road network. The effectiveness of advanced technologies in improving road safety has been an area of research which has thus far yielded mixed results. In order to ensure that advanced technologies deliver on their intended outcomes, more research has to be devoted to understanding road users' perceptions and reactions to these systems. This study examines drivers' perceptions of the use of dynamic message signs and their self‐reported reactions to the messages displayed. In general, drivers support the use of highway electronic boards for traffic incident reports and weather information which have an impact on traffic delays and level of service. They also think that it is a good idea to display road safety messages and to remind drivers to drive safely and be courteous on the roads. Moreover, most drivers reported that they do read and think about the messages displayed and react positively to some of the road safety messages.