GPS 高程转换的总体最小二乘组合方法

在现有GPS高程转换的研究中,通常只采用单一的解算方法,然而,不同的计算方法由于适用的条件不同,在对同一组数据进行解算时,解算的精度也各有优劣。针对以上问题,文中提出GPS高程转换的总体最小二乘组合方法,对多种不同的高程转换方法进行组合,运用总体最小二乘法计算不同方法的权值,结合实际工程数据,验证该方法的可行性。计算结果表明,提出的方法能够有效地提高高程转换精度。     

基于载波相位的GPS周跳恢复方法研究

在GPS定位中,周跳的探测和修复是获得高精度定位结果的前提。针对载波相位周跳数据的探测和修复这一问题已经提出了很多方法,但都有各自的不足之处。文中针对恶劣环境下的载波相位定位问题,通过使用多个历元的数据构建方程,提出一种新的整周模糊度定义方法,并预期能够在仅有3颗可用卫星且周跳发生时实现快速、准确的定位。     

BDS／GPS 组合 RTK 定位性能分析

针对单系统RTK存在可见卫星数少等问题,文中研究BDS/GPS站间单差的RTK算法模型,该模型采用二次型函数部分最小化及LAMBDA方法联合搜索模糊度。利用该模型分析BDS/GPS组合RTK的定位性能,通过短基线实测数据分析表明:站间单差RTK模型与双差模型是等价的;BDS/GPS组合系统相比于单一系统,明显提高定位的稳健性和精度,改善模糊度固定的成功率。     

恶劣环境下GPS/BDS混合双差模糊度固定性能分析

针对在恶劣观测环境下每个GNSS系统只观测到较少的几颗卫星,采用标准双差模型很难实现整周模糊度固定的问题,该文对GPS/BDS系统间混合双差模型进行研究,利用该模型计算出GPS/BDS系统偏差。在此基础上,利用实验分别对模拟和真实恶劣观测环境下的模糊度固定性能进行分析,实验结果表明,恶劣环境下GPS/BDS系统间混合双差模型表现良好,相较于经典的双差模型可将模糊度固定平均所需时间分别缩短43%和33%,模糊度固定成功率分别提高107%和31%。     

港珠澳大桥沉管隧道贯通误差预计

针对港珠澳大桥沉管隧道的安全贯通问题,该文从隧道外GPS网的布设及施测方法出发,通过多期复测数据评价GPS网具有可靠的测量精度;通过对GPS网点的稳定性分析,阐明了沉管隧道地面控制点位无法长期保留、稳定性差的特点;最后就GPS网引起的贯通误差影响值进行了估算。     

Present-day Block Movement and Fault Activity on the Eastern Margin of the Tibetan Plateau

The geology and tectonics in the eastern margin of Tibetan Plateau are complex. The main tectonic framework is composed of blocks and faults. Using discontinuous global positioning system survey data for 2008–2014, the velocity field for the Eurasia reference framework was obtained. Based on the velocity field, the present-day velocities of the blocks and boundary faults were estimated. The results reveal that the movement rates of the Chuan-Qing, South China, Chuan-Dian and Indo-China blocks are(17.02±0.60) mm/a,(8.77±1.51) mm/a,(13.85±1.31) mm/a and(6.84 ± 0.74) mm/a, respectively, and their movement directions are 99.5°, 120.3°, 142.9° and 153.3°, respectively. All blocks exhibit clockwise rotation. The displacement rates of the Xianshuihe, Longmenshan, Anninghe, Zemuhe, Xiaojiang and Red River faults are(7.30±1.25–8.30±1.26) mm/a,(10.07±0.97–11.79±0.89) mm/a,(0.96±0.74–2.98±1.73) mm/a,(2.03±0.49–3.20±0.73) mm/a,(3.45±0.40–6.02±0.50) mm/a and(6.23±0.56) mm/a, respectively. The Xianshuihe, Anninghe, Zemuhe and Xiaojiang faults show leftlateral strike-slip movement, while the Longmenshan and Red River faults show right-lateral strikeslip. These characteristics of the blocks and faults are related to the particular tectonic location and dynamic mechanism.     

Curvedness feature constrained map matching for low-frequency probe vehicle data

Map matching method is a fundamental preprocessing technique for massive probe vehicle data. Various transportation applications need map matching methods to provide highly accurate and stable results. However, most current map matching approaches employ elementary geometric or topological measures, which may not be sufficient to encode the characteristic of realistic driving paths, leading to inefficiency and inaccuracy, especially in complex road networks. To address these issues, this article presents a novel map matching method, based on the measure of curvedness of Global Positioning System (GPS) trajectories. The curvature integral, which measures the curvedness feature of GPS trajectories, is considered to be one of the major matching characteristics that constrain pairwise matching between the two adjacent GPS track points. In this article, we propose the definition of the curvature integral in the context of map matching, and develop a novel accurate map matching algorithm based on the curvedness feature. Using real-world probe vehicles data, we show that the curvedness feature (CURF) constrained map matching method outperforms two classical methods for accuracy and stability under complicated road environments.     

Why GPS makes distances bigger than they are

Global navigation satellite systems such as the Global Positioning System (GPS) is one of the most important sensors for movement analysis. GPS is widely used to record the trajectories of vehicles, animals and human beings. However, all GPS movement data are affected by both measurement and interpolation errors. In this article we show that measurement error causes a systematic bias in distances recorded with a GPS; the distance between two points recorded with a GPS is – on average – bigger than the true distance between these points. This systematic ‘overestimation of distance’ becomes relevant if the influence of interpolation error can be neglected, which in practice is the case for movement sampled at high frequencies. We provide a mathematical explanation of this phenomenon and illustrate that it functionally depends on the autocorrelation of GPS measurement error (C). We argue that C can be interpreted as a quality measure for movement data recorded with a GPS. If there is a strong autocorrelation between any two consecutive position estimates, they have very similar error. This error cancels out when average speed, distance or direction is calculated along the trajectory. Based on our theoretical findings we introduce a novel approach to determine C in real-world GPS movement data sampled at high frequencies. We apply our approach to pedestrian trajectories and car trajectories. We found that the measurement error in the data was strongly spatially and temporally autocorrelated and give a quality estimate of the data. Most importantly, our findings are not limited to GPS alone. The systematic bias and its implications are bound to occur in any movement data collected with absolute positioning if interpolation error can be neglected.     

基于潜在语义信息的城市功能区识别————广州市浮动车GPS时空数据挖掘

随着中国城市化进程的不断推进和深入,城市内部空间结构正发生不断的变化.城市内部形成的不同功能区标识研究,对城市结构理论以及政策制定,资源配置等方面具有非常重要的意义.这些不同的功能区包括住宅区,工业区,教育区以及办公区等.本文以大数据为依托,重点研究城市功能区的特点和分布状态,选取广州市6个区为样本,以最新道路网络为分割依据把研究样本分为439个区域.对历时一周的海量浮动车(GPS)数据以及兴趣点数据采用时空语义挖掘方法,建立潜在的狄利克雷模型(LDA)以及狄利克雷多项式回归模型(DMR);通过OPTICS聚类方法对不同模型的结果进行聚类,进而利用POI类别密度,居民出行特征等方法进行分区结果识别.同时,参考百度地图的地理信息,将研究得到的广州市功能分区结果与广州市城镇用地现状图,居民日常出行特征进行对比验证分析.研究表明,该方法基本能识别出具明显特征的城市功能区,如成熟居住区,科教文化区,商业娱乐区,开发区等.识别出的广州市不同类型的功能区呈现了以居住区和商业区为主导,其他类型功能区围绕其展开的特点.研究证明,利用大规模,高质量的个体时空数据开展人们移动行为和日常活动组织及社会空间的研究,能从一个新的视角揭示城市功能区的形成及其机制.     

GPS PERFORMANCE IN YUKON'S ARCTIC COAST

This study analyses GPS performance in Yukon's Arctic coast to inform future research that uses this technology in the region. To test this, Telonics GPS collars were placed on stakes during the summers of 2009 and 2010 throughout the region for varying lengths of time. The fix records produced by these collars were then collected and cleaned, leaving 30 samples. Using these records combined with a digital elevation model, eight variables were extracted and analysed in an attempt to find relationships, such that a fix rate could be predicted throughout the landscape. The results indicated that very few strong relationships existed. Densiometer values proved to be the only relationship between an environmental variable and fix rate. Available sky and aspect data produced results that were contrary to those expected. Overall, Telonics Generation 3 collars had extremely high fix rates, high accuracy, and low positional dilution of precision. Moreover, there was little variation in these results. This means that future GPS studies in the region would likely require minimal correction for fix rate bias. However, if corrections were to be made, more data would have to be gathered to ensure the results were statistically sound. The analysis suffered from the limitations of small sample size and low sample variance, among several others. Therefore, future studies should increase the number and diversity of sites tested.