基于物联网技术的智能交通控制系统研究

作为物物相连的互联网,物联网通过信息传感设备,把互联网与任何物品相连接,为构建智能交通信号控制与采集的体系提供了可能。论文从基于物联网的智能交通系统整体框架入手,并着重分析其在交通控制和信号采集两个子系统中的运用,指出物联网技术将全面提升交通管理水平。     

关于智能温室自动控制系统的应用探究

设施农业是将温室作为重点,国内外的温室种植上的丰富经验证明,对于温室系统的优化,提升温室的自动控制能力及管理水平能够将温室农业具有的高效性充分的发挥出来。本文针对我国现阶段温室所具有的特点进行了说明,并且如何优化,广泛的应用进行了详尽的阐述。     

智能集成网络管理

本文首先分析了当前网络管理系统的特点和需求,在此基础上提出了智能集成网络管理（ＩＮＭ）的概念。为了高效地实现智能集成网络管理的功能,本文提出了分布式协同多代理模型,并对其模块和关键技术进行了研究。     

Examining relationships among perceived benefit,tourist experience and satisfaction: the context of intelligent sharing bicycle

Intelligent sharing bicycle has been a new fashion in China and appeals to more and more tourists. To better understand the experience of tourists traveling on sharing bicycle, this study explored the influence of perceived benefit of sharing bicycle on different perceived experiences, including escape, entertainment, esthetic and educational experiences. The relationships between these experiences and perceived satisfaction were also tested. An effective questionnaire survey was conducted for 296 tourists in Chengdu, China. The results of the study show that perceived benefit significantly relates to all the four dimensions of experience. However, only entertainment and esthetic experience seem to affect tourist satisfaction in this context. The relationship among educational experience, escape experience and tourist satisfaction are insignificant. Theoretical and practical implications of the study results are discussed for further research.     

景区旅游交通游客满意度调查研究——以武陵源为例

笔者通过2011年10月的武陵源核心景区问卷调查,研究了游客景区旅游交通满意度。研究显示：游客中男性比女性更愿意选择乘坐旅游交通工具;中青年游客更愿意享用旅游交通带来的便利;景区主要交通设备相比较,索道与人力轿夫的安全度分别为最高和最低;环保车与人力轿夫在旅游价格、游览效果、与周边环境协调性三项指标满意度上均占据最高和最低排名;游客对武陵源景区旅游交通总体感受满意度较高,达到了89％。并就提升游客景区旅游交通满意度提出了建议。     

公交优先信号控制优化方法

根据信号交叉口理论,在以往信号延误研究的基础上,考虑到公交车辆平均载客数远大于社会车辆平均载客数,以减少交叉口人总延误最小为系统优化目标,分析并推导了公交优先信号控制优化模型,并用具体的实例说明了公式的用法。研究结果表明,交叉口人均延误减少量与公交车流率及优先时间的长短有关。运用该优化方法能够明显降低交叉口的人均延误,有效保证公交车的准时性,是减少公交车延误的一种可行、有效的方式。     

基于飞机降落信息的ADS-B数据跟踪算法

在空中交通管制（ATC）领域,广域监视系统中的ADS-B接收机在飞机飞行方向改变时 ,由于其收星的数量减少导致数据率变低,并且在飞机降落过程中丢点严重。结合ADS-B数 据的特点,采用两个模型分别表示飞机的匀速运动和匀加速运动状态,利用三点速度方向预 测修正对地速度,并引入飞机降落的先验模型,实现在广域监视中对飞机的有效跟踪。 真实数据验证了该方法可有效提高数据率和改善飞机降落过程中的跟踪效果。     

疲劳驾驶研究进展综述

疲劳驾驶是世界性研究难题,目前已发展为国内交通安全研究热点之一,基于对疲劳驾驶相关专利、文献检索分析,得到国内外疲劳驾驶研究现状、研究热点与发展领域;然后对疲劳驾驶识别、疲劳驾驶预警,以及疲劳驾驶消除与控制三大核心技术的发展现状进行综述,指出疲劳驾驶发展方向。     

Effect of driver,roadway, collision,and vehicle characteristics on crash severity: a conditional logistic regression approach

The aim of the study is to examine the factors that appear to have a higher potential for serious injury or death of drivers in traffic accidents in Turkey, such as collision type, roadway surface, vehicle speed, alcohol/drug use, and restraint use. Driver crash severity is the dependent variable of this study with two categories, fatal and non-fatal. Due to the binary nature of the dependent variable, a conditional logistic regression analysis was found suitable. Of the 16 independent variables obtained from Turkish police accident reports, 11 variables were found most significantly associated with driver crash severity. They are age, education level, restraint use, roadway condition, roadway type, time of day, collision location, collision type, number and direction of vehicles, vehicle speed, and alcohol/drug use. This study found that belted drivers aged 18–25 years involving two vehicles travelling in the same direction, in an urban area, during the daytime, and on an avenue or a street have better chances of survival in traffic accidents.     

基于Repast平台的城市交通系统仿真建模研究

提出了采用基于Agent的仿真建模方法为研究人员提供了城市交通系统研究新的思路，Repast平台则可以支持研究人员对复杂适应系统快速地建模。介绍了Repast仿真平台的结构、主要类库及建模步骤，并结合城市交通系统中提供交通信息服务的实例，简要阐述了使用Repast仿真平台对城市交通系统进行建模的过程。