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A Study on the Correlation Between VSP and Vehicle Emission Based on On-board Emission Test 总被引:1,自引:0,他引:1
搭建车载排放测试试验平台,选择轻型车和中型车进行了实际道路排放测试,建立了排放数据与行驶工况数据对应的数据库.引入比功率的概念比较了机动车排放随比功率和速度的变化关系,分析了轻型车和中型车比功率的分布频率和3种污染物的排放随比功率的变化关系.结果表明,轻型车和中型车比功率集中在-3~7kW/t范围;和速度相比,机动车的排放与比功率有更强的相关性. 相似文献
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阐述了汽车行驶工况的开发程序和测试方法。通过对合肥市道路交通状况的调查,选择五条具有代表性的路段进行合肥市城区的汽车行驶工况的研究,采集了大量合肥城区道路汽车行驶数据资料,运用多元统计学方法进行了道路汽车行驶工况的解析,从而建立合肥市道路汽车行驶工况。 相似文献
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详细阐述了汽车行驶工况的开发程序和测试方法。通过对合肥市道路交通状况的调查,选择5条具有代表性的路段进行合肥市城区的汽车行驶工况的研究,采集了大量合肥城区道路汽车行驶数据资料,运用多元统计学方法进行了道路汽车行驶工况的解析,从而建立适合合肥市道路的汽车行驶工况。 相似文献
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文中按照轻型车欧洲Ⅲ号排放法规98/69/EC“MotorVehicleEmissions”,进行了轻型车在-7℃低环境温度下冷起动后的排放试验,讨论分析了试验中HC、CO和NOx排气浓度随运转工况的变化规律,为控制轻型车在低温下冷起动后的排放提供了很好的参考。 相似文献
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介绍了将GPS静态测量技术应用于地铁首级控制测量中,能够达到高精度、高效益、大大提高作业效率及降低劳动强度等目的,对整条地铁线路的正确贯通提供了强有力的保障。 相似文献
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铁路隧道工程项目往往地处深山,地势起伏大,植被茂密,地形复杂,使得测量工作难度增大。对于长大隧道,GPS测量方法成为首选方案,然而由于地形条件限制,GPS控制点的选择与控制网的布设很难满足相应规范要求。以新建东北东部铁路荒沟隧道GPS控制测量为实例,重点介绍在困难地理环境中铁路长大隧道的GPS控制网建立、观测方案确定、过程实施与后期数据处理、成果检验分析及成果应用一完整过程,最终保证隧道高精度贯通,可为以后的类似工程提供参考。 相似文献
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Truck probe data collected by global positioning system (GPS) devices has gained increased attention as a source of truck mobility data, including measuring truck travel time reliability. Most reliability studies that apply GPS data are based on travel time observations retrieved from GPS data. The major challenges to using GPS data are small, nonrandom observation sets and low reading frequency. In contrast, using GPS spot speed (instantaneous speed recorded by GPS devices) directly can address these concerns. However, a recently introduced GPS spot-speed-based reliability metric that uses speed distribution does not provide a numerical value that would allow for a quantitative evaluation. In light of this, the research described in this article improves the current GPS spot speed distribution-based reliability approach by calculating the speed distribution coefficient of variation. An empirical investigation of truck travel time reliability on Interstate 5 in Seattle, WA, is performed. In addition, correlations are provided between the improved approach and a number of commonly used reliability measures. The reliability measures are not highly correlated, demonstrating that different measures provide different conclusions for the same underlying data and traffic conditions. The advantages and disadvantages of each measure are discussed and recommendations of the appropriate measures for different applications are presented. 相似文献
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为解决传统行程时间可靠性测算算法应用于机场路网的不足,即未考虑实际路网运行情况以及机场旅客出行成本问题,分别引入路段拥堵修正因子以及成本因子,构建机场路网行程时间可靠性测算模型,并且引入路网标准速度,用最小误差平方和的方法对改进后的测算方法进行验证.以南京禄口国际机场集疏运路网为例,改进后的路网行程时间可靠性测算结果与实际路网标准速度的最小误差平方和,即LSE的值为0.57,比传统的测算结果小0.03,说明改进后的测算结果更接近实际路网行程时间可靠性.测算出南京禄口机场集疏运公路路段行程时间可靠性在0.69~0.89内,路网行程时间可靠性测算结果在0.65~0.78内,机场集疏运路网行程时间可靠性存在分布不均,核心路段行程时间可靠性低等现象.改进的测算方法,在一定程度上解决传统路网行程时间可靠性测算算法与实际路况脱节的问题. 相似文献
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Neural-network multiple models filter (NMM)-based position estimation system for autonomous vehicles
A highly accurate and reliable vehicle position estimation system is an important component of an autonomous driving system. In generally, a global positioning system (GPS) receiver is employed for the vehicle position estimation of autonomous vehicles. However, a stand-alone GPS does not always provide accurate and reliable information of the vehicle position due to frequent GPS blockages and multipath errors. In order to overcome these problems, a sensor fusion scheme that combines the data from the GPS receiver and several on-board sensors has been studied. In previous researches, a single model filter-based sensor fusion algorithm was used to integrate information from the GPS and on-board sensors. However, an estimate obtained from a single model is difficult to cover the various driving environments, including urban areas, off-road areas, and highways. Thus, a multiple models filter (MMF) has been introduced to address this limitation by adapting multiple models to a wide range of driving conditions. An adaptation of the multiple model is achieved through the use of the model probability. The MMF combines several vehicle models using the model probabilities, which indicate the suitability of the current driving condition. In this paper, we propose a vehicle position estimation algorithm for an autonomous vehicle that is based on a neural network (NN)-based MMF. The model probabilities are determined through the NN. The proposed position estimation system was evaluated through simulations and experiments. The experimental results show that the proposed position estimation algorithm is suitable for application in an autonomous driving system over a wide range of driving conditions. 相似文献
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分析了低成本压电振动陀螺误差及其影响因素,在实验的基础上得出采用温度补偿陀螺误差的可行性。建立了联合卡尔曼滤波方程融合GPS和INS信息,估计定位信息和陀螺误差。提出车载GPS/INS组合导航系统中陀螺零漂误差和标度因子误差的校正过程启动条件,当条件满足时,以估计的陀螺误差为输入,采用温度误差校正表学习算法对陀螺误差模型进行训练。用道路实验数据对提出的陀螺校正算法进行验证,结果表明该算法精度高、收敛快、可操作性好。 相似文献
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A map-matching algorithm is an integral part of every navigation system and reconciles raw and inaccurate positional data (usually from a global positioning system [GPS]) with digital road network data. Since both performance (speed) and accuracy are equally important in real-time map-matching, an accurate and efficient map-matching algorithm is presented in this article. The proposed algorithm has three steps: initialization, same-segment, and next-segment. Distance between the GPS point and road segments, difference between the heading of the GPS point and direction of road segments, and difference between the direction of consecutive GPS points and direction of road segments are used to identify the best segment among candidates near intersections. In contrast to constant weights applied in existing algorithms, the weight of each criterion in this algorithm is dynamic. The weights of criteria are calculated for each GPS point based on its: (a) positional accuracy, (b) speed, and (c) traveled distance from previous GPS point. The algorithm considers a confidence level on the assigned segment to each GPS point, which is calculated based on the density and complexity of roads around the GPS point. The evaluation results indicate 95.34% correct segment identification and 92.19% correct segment assignment. The most important feature of our algorithm is that the high correct segment identification percentage achieved in urban areas is through a simple and efficient weight-based method that does not depend on any additional data or positioning sensors other than digital road network and GPS. 相似文献
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基于GPS/GIS/GSM的公路隧道运营管理系统研究 总被引:11,自引:3,他引:11
为了提高长大公路隧道的运营管理水平,通过分析长大公路隧道的运营特征,追踪GPS、GIS、GSM的最新技术,提出了采用基于GPS/GIS/GSM的公路隧道运营管理模式,实现长大公路隧道的现代远程监控与管理。论述了基于GPS/GIS/GSM的公路隧道运营管理系统的两大组成子系统,即基于GIS的隧道机电管理系统和基于GPS/GIS/GSM的车辆调度系统的功能与组成,同时采用软件系统设计的方法对该两大子系统进行了系统分析与设计。运用企业成本核算法进行了系统经济性分析,论证了基于GPS/GIS/GSM的公路隧道运营管理模式的可行性和科学性。 相似文献