The hidden Markov model-based map matching algorithm (HMM-MM) is an effective method for online vehicle navigation and offline trajectory position correction. Common HMM-MMs are susceptible to the influence of adjacent road segment endpoints and similar parallel roads, because the multi-index ...
地图匹配--High-Frequency Trajectory Map Matching Algorithm Based on Road Network Topology 目前为止,地图匹配已经是一个很成熟的方法了,被广泛应用于导航服务行业,在人们日常出行中扮演不可或缺的角色。已有的算法无论从算法效率和精度上,都满足了工程应用的需要,可改进的地方也达到瓶颈。 但是最近看到一篇发表在工...
本文介绍基于隐马尔科夫模型(Hidden Markov Model, HMM)、Viterbi算法来解决地图匹配(Map-Matching)的算法过程,并提供Matlab源代码和相关的测试数据。 本文所用数据和模型,均来自于文章《Enhanced Map-Matching Algorithm with a Hidden Markov Model for Mobile Phone Positioning》2017年。 2. Map-Matching(MM)问题 ...
This paper proposed an integrated map matching algorithm for freeway network traffic monitoring system using GPS probe data. The algorithm is novel in three aspects. First, it is designed to map massive GPS positioning points in a large-scale traffic network for the purpose of traffic state...
The proposed algorithm has two important features: 1. the algorithm is suitable for various complex intersections; 2.the map-matching process can be adjusted according to the traffic scenario, which saves computational time. The evaluated performance indicates that the proposed algorithm performs better...
With these conditions, a robust, easy-to-implement map matching algorithm is required for the imprecise vehicle trajectory data obtained from GPS receivers. The proposed algorithm presents a map matching technique based on statistical methods to handle outliers and outages present in the vehicle ...
Map matching algorithm: curve simplification for Frechet distance computing and precise navigation on road network using RTKLIB. Cluster Comput 22 (Suppl 6), 13351–13359 (2019). https://doi.org/10.1007/s10586-018-1910-z Download citation Received07 April 2017 Revised28 December 2017 Accepted19 ...
work.Experimentalresultsshowthattheproposedalgorithmhasverygoodperformanceformatchingthepositionofcarrunningtothe correctlinkundernorma1traficconditions. KEYWORDS vehicles;navigationsystems;globalpositioningsystem;mapmatching;fuzzyneuralnetworks 目前使用的定位传感器大都是廉价的GPS/ ...
Although many map-matching methods have been proposed, they often fail to balance the two conflicting objectives, i.e., matching quality and computation time. To alleviate the contradiction, in this paper, we propose a three-stage online map-matching algorithm, named as SD-Matching, to fully ...
In eval- uations using both a low-noise dataset from Seattle and a high-noise dataset from Shanghai, we find that global max- weight and global geometrical map matching methods are the most accurate, but each has its weaknesses. We there- fore propose a new map matching algorithm that ...