基于SJA1000的CAN总线通信系统的设计

介绍CAN总线主要技术特性,简述基于SJA1000的CAN总线接口电路的软、硬件设计方法,给出CAN总线接口电路、SJA1000初始化程序、接收及发送数据的程序框图,满足CAN通信的各项要求。     

ZYJ7型电动液压转辙机控制电路故障判断与处理

根据ZYJ7型电动液压转辙机启动、表示电路原理,结合日常处理故障经验,从室内到室外阐述了判断ZYJ7型电动液压转辙机启动电路、表示电路各种故障方法,为我们日常处理ZYJ7型电动液压转辙机启动电路、表示电路故障提供了准确、快捷的处理方法。     

智能型全站仪轨道基准网数据采集程序开发

研究目的:解决高速铁路轨道基准网(TRN)数据采集中测量任务繁重、观测精度要求高等问题,从而提高野外测量工作的效率和质量。研究结论:基于徕卡智能型全站仪GeoCOM的ASCII接口方式和高速铁路轨道基准网的测量原理与方法,轨道基准网数据采集程序(TRN DAS)实现了数据采集的自动化、数字化和高效化,大幅提高了野外测量工作的效率和质量,并已在沪宁、沪杭等高速铁路工程中推广应用,使用效果良好,具有明显的经济效益。     

江苏省沿江城市群城际轨道交通线网规划方案研究

城际轨道交通的规划建设是城市群发展的必然要求,江苏沿江城市群是我国城市化进程过程中重点发展的区域。根据沿江地区城市群的特征,把沿江地区城际轨道交通线网分为主骨架城际网和都市圈城际网两个层次进行规划,重点研究沿江地区都市圈内部中心城市之间以及中心城市与中小城市之间的城际轨道交通通勤线网。     

智能车辆机器视觉发展近况

简要回顾了机器视觉的早期发展，从简单的特定场合应用到模拟人眼的复杂系统设计，介绍了机器视觉产品在智能汽车上的应用情况，分析了世界各国在车用机器视觉技术领域研究开发情况以及未来发展趋势。     

关于集成化汽车故障诊断系统及其支持技术研究

集成化汽车故障诊断系统有两种不同的体系结构,可由状态检测、信息融合、故障诊断、网络信息获取以及网络通讯等模块构成。在系统分析各模块功能得基础上,论述了检测设备仪器通讯的标准化、故障诊断专家系统的通用化、故障诊断推理方法的多元化和故障诊断知识获取的网络化是实现集成化汽车故障诊断系统的关键性支持技术。     

基于视觉的前方车辆探测技术研究方法综述

对国内外关于车道上本车前方车辆检测方法进行了综述。根据探测车辆所采用的传感器不同,分别对采用单目视觉、双目视觉、视觉与其他传感器融合以及非视觉传感器的几种探测方法进行了比较与分析。同时,针对每种探测方法,进一步阐述了目前车辆识别的一些具体算法。最后,指出了每种方法存在的优点和一些不足。     

Identifying tourists and analyzing spatial patterns of their destinations from location-based social media data

Reliable travel behavior data is a prerequisite for transportation planning process. In large tourism dependent cities, tourists are the most dynamic population group whose size and travel choices remain unknown to planners. Traditional travel surveys generally observe resident travel behavior and rarely target tourists. Ubiquitous uses of social media platforms in smartphones have created a tremendous opportunity to gather digital traces of tourists at a large scale. In this paper, we present a framework on how to use location-based data from social media to gather and analyze travel behavior of tourists. We have collected data of about 67,000 users from Twitter using its search interface for Florida. We first propose several filtering steps to create a reliable sample from the collected Twitter data. An ensemble classification technique is proposed to classify tourists and residents from user coordinates. The accuracy of the proposed classifier has been compared against the state-of-the-art classification methods. Finally, different clustering methods have been used to find the spatial patterns of destination choices of tourists. Promising results have been found from the output clusters as they reveal most popular tourist spots as well as some of the emerging tourist attractions in Florida. Performance of the proposed clustering techniques has been assessed using internal clustering validation indices. We have analyzed temporal patterns of tourist and resident activities to validate the classification of the users in two separate groups of tourists and residents. Proposed filtering, identification, and clustering techniques will be significantly useful for building individual-level tourist travel demand models from social media data.     

Controller design for gating traffic control in presence of time-delay in urban road networks

Recent studies demonstrated the efficiency of feedback-based gating control in mitigating congestion in urban networks by exploiting the notion of macroscopic or network fundamental diagram (MFD or NFD). The employed feedback regulator of proportional-integral (PI)-type targets an operating NFD point of maximum throughput to enhance the mobility in the urban road network during the peak period, under saturated traffic conditions. In previous studies, gating was applied directly at the border of the protected network (PN), i.e. the network part to be protected from over-saturation. In this work, the recently developed feedback-based gating concept is applied at junctions located further upstream of the PN. This induces a time-delay, which corresponds to the travel time needed for gated vehicles to approach the PN. The resulting extended feedback control problem can be also tackled by use of a PI-type regulator, albeit with different gain values compared to the case without time-delay. Detailed procedures regarding the appropriate design of related feedback regulators are provided. In addition, the developed feedback concept is shown to work properly with very long time-steps as well. A large part of the Chania, Greece, urban network, modelled in a microscopic simulation environment under realistic traffic conditions, is used as test-bed in this study. The reported results demonstrate a stable and efficient behaviour and improved mobility of the overall network in terms of mean speed and travel time.