基于自律分散技术的快速公交智能调度系统设计研究

自律分散技术是一种国际上的新型技术,现已被广泛应用到各个相关领域.快速公交是近年来公交系统发展的重要方向,本文从功能需求的角度出发,运用自律分散技术,对快速公交智能调度系统进行横向和纵向结构的设计研究,从而为快速公交系统的发展研究提供一个新的思路,具有一定的指导和借鉴意义.     

Virtual 3D city model as a priori information source for vehicle localization system

This paper aims at demonstrating the usefulness of integrating virtual 3D models in vehicle localization systems. Usually, vehicle localization algorithms are based on multi-sensor data fusion. Global Navigation Satellite Systems GNSS, as Global Positioning System GPS, are used to provide measurements of the geographic location. Nevertheless, GNSS solutions suffer from signal attenuation and masking, multipath phenomena and lack of visibility, especially in urban areas. That leads to degradation or even a total loss of the positioning information and then unsatisfactory performances. Dead-reckoning and inertial sensors are then often added to back up GPS in case of inaccurate or unavailable measurements or if high frequency location estimation is required. However, the dead-reckoning localization may drift in the long term due to error accumulation. To back up GPS and compensate the drift of the dead reckoning sensors based localization, two approaches integrating a virtual 3D model are proposed in registered with respect to the scene perceived by an on-board sensor. From the real/virtual scenes matching, the transformation (rotation and translation) between the real sensor and the virtual sensor (whose position and orientation are known) can be computed. These two approaches lead to determine the pose of the real sensor embedded on the vehicle. In the first approach, the considered perception sensor is a camera and in the second approach, it is a laser scanner. The first approach is based on image matching between the virtual image extracted from the 3D city model and the real image acquired by the camera. The two major parts are: 1. Detection and matching of feature points in real and virtual images (three features points are compared: Harris corner detector, SIFT and SURF). 2. Pose computation using POSIT algorithm. The second approach is based on the on–board horizontal laser scanner that provides a set of distances between it and the environment. This set of distances is matched with depth information (virtual laser scan data), provided by the virtual 3D city model. The pose estimation provided by these two approaches can be integrated in data fusion formalism. In this paper the result of the first approach is integrated in IMM UKF data fusion formalism. Experimental results obtained using real data illustrate the feasibility and the performances of the proposed approaches.     

Scheduling of Intelligent and Autonomous Vehicles under pairing/unpairing collaboration strategy in container terminals

A new class of Intelligent and Autonomous Vehicles (IAVs) has been designed in the framework of Intelligent Transportation for Dynamic Environment (InTraDE) project funded by European Union. This type of vehicles is technologically superior to the existing Automated Guided Vehicles (AGVs), in many respects. They offer more flexibility and intelligence in maneuvering within confined spaces where the logistic operations take place. This includes the ability of pairing/unpairing enabling a pair of 1-TEU (20-foot Equivalent Unit) IAVs dynamically to join, transport containers of any size between 1-TEU and 1-FFE (40-foot Equivalent) and disjoin again. Deploying IAVs helps port operators to remain efficient in coping with the ever increasing volume of container traffic at ports and eliminate the need for deploying more 40-ft transporters in the very confined area of ports. In order to accommodate this new feature of IAVs, we review and extend one of the existing mixed integer programming models of AGV scheduling in order to minimize the makespan of operations for transporting a set of containers of different sizes between quay cranes and yard cranes. In particular, we study the case of Dublin Ferryport Terminal. In order to deal with the complexity of the scheduling model, we develop a Lagrangian relaxation-based decomposition approach equipped with a variable fixing procedure and a primal heuristics to obtain high-quality solution of instances of the problem.     

Smarter and more connected: Future intelligent transportation system

Emerging technologies toward a connected vehicle-infrastructure-pedestrian environment and big data have made it easier and cheaper to collect, store, analyze, use, and disseminate multi-source data. The connected environment also introduces new approaches to flexible control and management of transportation systems in real time to improve overall system performance. Given the benefits of a connected environment, it is crucial that we understand how the current intelligent transportation system could be adapted to the connected environment.     

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.     

铁路行车调度指挥仿真系统

铁路调度指挥仿真系统是一个分布式协同工作的递阶分散自律控制系统,由决策层、管理层、执行层和设备层组成,采用部分实物仿真的方式设计模拟系统的软硬件环境。仿真系统设计的关键技术包括:进路表的自动生成算法、控制命令自动生成算法、列车车次自动追踪运行算法、列车群自动追踪运行算法、计划自动调整算法、干扰源仿真模拟和仿真时空一致性控制等。通过选取铁路实际运营的计算机联锁系统和电气集中联锁系统、车站、自动闭塞区间和计轴半自动闭塞区间线路,构建近1∶1的仿真试验环境。按照铁路行车调度指挥实际需求、相关技术标准以及现场实际投入使用的行车调度指挥系统,对仿真系统进行了功能、性能测试。对实际应用中出现的故障进行了模拟分析。结果表明:仿真系统对于实际应用系统的研发、开通运营、日后的维护和系统升级具有不可替代的作用,它能够极大地缩短开通前的调试时间,方便故障分析和各种条件下调度指挥方式的模拟,特别适合特定条件下应急预案的演练。     

RS232/CAN智能协议转换器及其通信网络

为研制RS232/CAN智能协议转换器,根据技术要求,确定其硬件系统主要由RS232接口、CAN协议控制器和CAN总线收发器等组成,软件系统主要由参数设置子程序、RS232串口/CAN转换子程序、CRC校验子程序等组成。关键技术包括:在CAN控制器软件初始化过程中对系统中断的控制;采用硬件流控制实现数据传输过程的控制。将2个RS232/CAN智能转换器通过双绞线连接起来,实现2个设备之间的RS232点对点远程通信。在各设备处安装RS232/CAN智能转换器,通过双绞线连接,并在端点处安装匹配电阻即可组成RS232/CAN通信网络。在调度集中车站智能自律分机系统中,采用RS232/CAN智能协议转换器构建通信网络,既可充分利用原来的软硬件系统,又可提高系统的效率,缩短开发周期。