基于车载信息采集平台的智能交通系统实现方式

本文介绍了智能交通系统特点和发展,分析了车载信息采集平台的软件结构设计,提出了设计信息采集平台的基本功能要求和建立方式,进而讨论了智能交通系统的功能实现过程和运行情况.     

全站仪野外编码测图法

本文结合测量生产实际情况 ,介绍了充分利用全站仪的数据采集功能 ,利用全站仪外业接坐标 ,并现场编码 ,内业数据处理后 ,在AutoCAD中用程序直接成图的方法。并对该测量方法的设计思想和系统的关键技术作了较为详细的介绍     

车辆安全行驶智能系统设想

笔者针对车辆的不安全行驶所造成的大量道路交通事故现象,从智能交通系统的概念和交通人机系统的原理出发,设想了车辆安全行驶智能系统,以实现对车辆超速、行驶稳定性、跟车、超车等行为的智能预警与控制.     

热式空气流量传感器工作特点及相关故障分析

简要地介绍了空气流量计安装位置及特点、热膜式空气流量汁主体结构及特点、检测原理及其对应特点,并以实例进行厂重点阐述。     

一种智能四驱控制的CRUISE仿真及应用

智能四驱是目前SUV车型发展的趋势,如何对该整车模型建模及性能仿真显得尤其重要。文章根据一款SUV车型物理结构及所采用的控制策略进行分析,采用CRUISE软件搭建整车性能仿真模型,并通过试验结果对其动力性经济性进行验证。表明,常用工况中,智能四驱仿真结果与两驱模式下性能基本一致,提供了一种比较行之有效的整车性能匹配的分析方法。     

套轨技术在非洲米轨改造工程中的运用

非洲铁路基础设施陈旧落后,既有米轨铁路逐步升级改造为标准轨距铁路的需求日益迫切。套轨铁路作为一种过渡形式的铁路,既能实现不同轨距列车共线运营功能,满足不断增长客货运输需求,又能节约土地和建设资金,减少环境污染。在既有米轨铁路不中断运营情况下,进行标准轨-米轨套轨形式的铁路改造也是非洲铁路在过渡阶段的必然选择,本文对其中涉及的主要技术标准和关键技术进行论述。     

Towards data-driven car-following models

Car following models have been studied with many diverse approaches for decades. Nowadays, technological advances have significantly improved our traffic data collection capabilities. Conventional car following models rely on mathematical formulas and are derived from traffic flow theory; a property that often makes them more restrictive. On the other hand, data-driven approaches are more flexible and allow the incorporation of additional information to the model; however, they may not provide as much insight into traffic flow theory as the traditional models. In this research, an innovative methodological framework based on a data-driven approach is proposed for the estimation of car-following models, suitable for incorporation into microscopic traffic simulation models. An existing technique, i.e. locally weighted regression (loess), is defined through an optimization problem and is employed in a novel way. The proposed methodology is demonstrated using data collected from a sequence of instrumented vehicles in Naples, Italy. Gipps’ model, one of the most extensively used car-following models, is calibrated against the same data and used as a reference benchmark. Optimization issues are raised in both cases. The obtained results suggest that data-driven car-following models could be a promising research direction.     

基于BIM技术的轨道交通桥梁工程量计算

为了解决轨道交通桥梁工程数量计算中存在的工程量信息传递次数多、效率不高等问题,提出一种基于结构化数据的工程量计算方式,省去了基于二维图纸进行工程量计算方式中的信息传递过程,避免了三维模型成熟度不高或信息缺失造成的数量丢失。具体做法为:采用数量项类型划分、分类计算、混合方式编码等方法,建立构件与工程数量、工程数量与清单的映射关系,可跳过图纸或模型进行工程量计算和工程量清单的输出。在智能京张BIM设计过程中,通过编写桥梁工程数量计算软件进行工程数量的计算和输出,验证了该方法的可行性。     

Extending Time to Collision for probabilistic reasoning in general traffic scenarios

Vehicle-to-vehicle communication systems allow vehicles to share state information with one another to improve safety and efficiency of transportation networks. One of the key applications of such a system is in the prediction and avoidance of collisions between vehicles. If a method to do this is to succeed it must be robust to measurement uncertainty and to loss of communication links. The method should also be general enough that it does not rely on constraints on vehicle motion for the accuracy of its predictions. It should work for all interactions between vehicles and not just a select subset. This paper presents a method to calculate Time to Collision for unconstrained vehicle motion. This metric is gated using a novel technique based on relative vehicle motion that we call “looming”. Finally, these ideas are integrated into a probabilistic framework that accounts for uncertainty in vehicle state and loss of vehicle-to-vehicle communication. Together this work represents a new way of considering vehicle collision estimation. These algorithms are validated on data collected from real world vehicle trials.