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An effective Time-Aware Map Matching process for low sampling GPS data [article]

Paolo Cintia, Mirco Nanni
2016 arXiv   pre-print
Indeed, we show that such approaches can yield travel times that are significantly incoherent with the real ones, and propose a Time-Aware Map matching process that tries to improve the state-of-art by  ...  In the era of the proliferation of Geo-Spatial Data, induced by the diffusion of GPS devices, the map matching problem still represents an important and valuable challenge.  ...  We propose an effective Time-Aware Map matching process for low-sampling rate GPS data based on the reduction of temporal mismatch introduced above.  ... 
arXiv:1603.07376v1 fatcat:l7bmo7hchre2xp32pqisacoayi

Context-aware GPS integrity monitoring for intelligent transport systems

T.A. Binjammaz, Ali H. Al-Bayatti, A.H. Al-Hargan
2016 Journal of Traffic and Transportation Engineering (English ed. Online)  
Location-based ITS applications GPS integrity Map matching algorithms a b s t r a c t The integrity of positioning systems has become an increasingly important requirement for location-based intelligent  ...  An error in the positioning information or map matching process might lead to the inaccurate determination of a vehicle location.  ...  Acknowledgments Special thanks to the Geospatial Institute at the University of Nottingham for providing the special vehicle to collect the data required for this paper.  ... 
doi:10.1016/j.jtte.2015.09.002 fatcat:prp5skp3pzcdnf4g4nplaivzg4

Predicting Fine-Grained Traffic Conditions via Spatio-Temporal LSTM

Xiaojuan Wei, Jinglin Li, Quan Yuan, Kaihui Chen, Ao Zhou, Fangchun Yang
2019 Wireless Communications and Mobile Computing  
Experiments confirmed MapLSTM can not only achieve prediction for road segments based a large scale of GPS trajectories effectively but also have higher predicting accuracy than GPR and ConvLSTM.  ...  MapLSTM first obtains the historical and real-time traffic conditions of road segments via map-matching. Then LSTM is used to predict the conditions of the corresponding road segments in the future.  ...  As a preprocessing step of MapLSTM, map-matching can effectively improve the existing huge amount of low-sampling-rate GPS trajectories in data set.  ... 
doi:10.1155/2019/9242598 fatcat:qsut6ankozdwvokrqpnyyzcyoa

WheelLoc: Enabling continuous location service on mobile phone for outdoor scenarios

He Wang, Zhiyang Wang, Guobin Shen, Fan Li, Song Han, Feng Zhao
2013 2013 Proceedings IEEE INFOCOM  
by time-and speed-aware interpolation or extrapolation.  ...  It can return a location estimate within 40ms with an accuracy about 40 meters, consumes only 240mW energy, and effectively strikes a better energy-accuracy tradeoff than GPS duty-cycling.  ...  Map matching was explored in few recent work as an effective means to improve the accuracy of GPS [15] and WiFi [22] based location fixes.  ... 
doi:10.1109/infcom.2013.6567082 dblp:conf/infocom/WangWSLHZ13 fatcat:7lcdcmklwvaf7pjhn5ocapr27q

Movement Pattern Recognition Assisted Map Matching for Pedestrian/Wheelchair Navigation

Ming Ren, Hassan A. Karimi
2012 Journal of navigation  
The algorithm is tested in an Android mobile phone, and the results show that the proposed map matching algorithm is efficient and provides good accuracy. K E Y WO R D S 1. Map matching. 2.  ...  The algorithm integrates GPS positions, orientation data from compass, and movement states recognized from accelerometer data in a client/server architecture.  ...  Taking Route 1 as an example, due to correctly recognizing user's different movement modes, computation for map matching is reduced; 41 out of 133 GPS datasets were sent for map matching to the server.  ... 
doi:10.1017/s0373463312000252 fatcat:u3ondxjlrbefbj5e5j2p3mzxky

VTrack

Arvind Thiagarajan, Lenin Ravindranath, Katrina LaCurts, Samuel Madden, Hari Balakrishnan, Sivan Toledo, Jakob Eriksson
2009 Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems - SenSys '09  
We also study the best sampling strategies for WiFi and GPS sensors for different energy cost regimes.  ...  VTrack uses a hidden Markov model (HMM)-based map matching scheme and travel time estimation method that interpolates sparse data to identify the most probable road segments driven by the user and to attribute  ...  Using HMMs for map matching has been proposed in [16] and [19] . However, their research focus only on using frequently-sampled GPS data with low noise.  ... 
doi:10.1145/1644038.1644048 dblp:conf/sensys/ThiagarajanRLMBTE09 fatcat:zp7q7623fjcgnptdfbrjk7px4u

Feature Selection in Conditional Random Fields for Map Matching of GPS Trajectories [chapter]

Jian Yang, Liqiu Meng
2014 Lecture Notes in Geoinformation and Cartography  
However, map matching of a low sampling rate on urban road network is still a challenging task.  ...  In this paper, the characteristics of Conditional Random Fields with regard to inducing many contextual features and feature selection are explored for the map matching of the GPS trajectories at a low  ...  Many research works have been dedicated to map matching of GPS trajectory with a moderate sampling rate, while map matching with a low sampling rate, namely the sampling interval greater than 120 seconds  ... 
doi:10.1007/978-3-319-11879-6_9 fatcat:zgkm3mdvavh67kdvp6ul7jafea

Which One is Correct, The Map or The GPS Trace

Abdeltawab Hendawi, Sree Sindhu Sabbineni, Jianwei Shen, Yaxiao Song, Peiwei Cao, Zhihong Zhang, John Krumm, Mohamed Ali
2019 Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - SIGSPATIAL '19  
GPS data is noisy by nature. A typical location-based service would start by filtering out the noise from the raw GPS points that are generated by moving objects.  ...  Instead, we consider the noise as an asset. We analyze the various noise patterns under different conditions and region characteristics.  ...  Low sampling rates (or high inter-arrival time between samples) may pose a risk when map matching the original trace to the road network graph.  ... 
doi:10.1145/3347146.3359099 dblp:conf/gis/HendawiSSSCZKA19 fatcat:2rvrwfzb4za77dwvziysfqeieu

Study of fuzzy logic and particle swarm methods in map matching algorithm

Ajay Kr. Gupta, Udai Shanker
2020 SN Applied Sciences  
k ·k > 0 for (1 ≤ i < m) and pt i ∈ L. m = |T| is the count of sample points, and k is known as the interval of these sample points.  ...  Navigation system is used in deploying the real-time position of vehicles on the map of route with the help of Global Positioning System (GPS).  ...  A sample of GPS Log and Trajectory for Client Movement is given in Fig. 1 . The problem of low sampling rate GPS Trajectories-based Map Matching (MM) [4] can be stated as follows.  ... 
doi:10.1007/s42452-020-2431-y fatcat:4zwkuktgqncydes4jofxrrtv64

CrowdAtlas

Yin Wang, Xuemei Liu, Hong Wei, George Forman, Chao Chen, Yanmin Zhu
2013 Proceeding of the 11th annual international conference on Mobile systems, applications, and services - MobiSys '13  
Its mobile navigation app detects significant portions of GPS traces that do not conform to the existing map, as determined by state-of-the-art Viterbi map matching.  ...  Using CrowdAtlas app, we mapped out a 4.5 km 2 street block in Shanghai in less than half an hour and built a walking/cycling map of the SJTU campus.  ...  ACKNOWLEDGMENTS We thank our shepherd Gaetano Borriello and anonymous reviewers for helping us improve the paper. Yang Yue provided us the taxi dataset from Beijing, for which we are grateful.  ... 
doi:10.1145/2462456.2464441 dblp:conf/mobisys/WangLWFCZ13 fatcat:iyiywqyku5h2venkgezbjmygmq

CrowdAtlas

Yin Wang, Xuemei Liu, Hong Wei, George Forman, Yanmin Zhu
2013 Proceeding of the 11th annual international conference on Mobile systems, applications, and services - MobiSys '13  
Its mobile navigation app detects significant portions of GPS traces that do not conform to the existing map, as determined by state-of-the-art Viterbi map matching.  ...  Using CrowdAtlas app, we mapped out a 4.5 km 2 street block in Shanghai in less than half an hour and built a walking/cycling map of the SJTU campus.  ...  ACKNOWLEDGMENTS We thank our shepherd Gaetano Borriello and anonymous reviewers for helping us improve the paper. Yang Yue provided us the taxi dataset from Beijing, for which we are grateful.  ... 
doi:10.1145/2462456.2465730 dblp:conf/mobisys/WangLWFZ13 fatcat:jmug7atugbgc3lcal4pa5tol5m

DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis [article]

Ming Tao, Hao Tang, Fei Wu, Xiao-Yuan Jing, Bing-Kun Bao, Changsheng Xu
2022 arXiv   pre-print
composed of Matching-Aware Gradient Penalty and One-Way Output, which enhances the text-image semantic consistency without introducing extra networks, (iii) a novel deep text-image fusion block, which  ...  deepens the fusion process to make a full fusion between text and visual features.  ...  It generates an opposite effect to the Affine Transformation which is expected to increase the distance between different samples. It is then unhelpful for the conditional generation process.  ... 
arXiv:2008.05865v3 fatcat:dlswt65virfhhorwe6xzodjqvu

Classification of Base Station Time Series Based on Weighted Adjustable-Parameter LPVG

Luqi Li, Hao Jiang, He Nai
2019 2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS)  
However, the continuous growth of spatial data has created considerable challenges in big data processing.  ...  The large quantity of trajectory data generated by vehicles provides us with an unprecedented opportunity for interpreting the dynamics of urban areas.  ...  Acknowledgments: The authors would like to thank OpenITS for their initiatives in intelligent transport system. Meanwhile, we thank the editors and reviewers for their valuable comments.  ... 
doi:10.1109/bigdatasecurity-hpsc-ids.2019.00032 fatcat:a7ko2gty7jcpzbrmntxa4sl2sm

Preserving privacy in gps traces via uncertainty-aware path cloaking

Baik Hoh, Marco Gruteser, Hui Xiong, Ansaf Alrabady
2007 Proceedings of the 14th ACM conference on Computer and communications security - CCS '07  
To overcome these challenges, we develop a novel time-toconfusion criterion to characterize privacy in a location dataset and propose an uncertainty-aware path cloaking algorithm that hides location samples  ...  We find through analysis of a set of GPS traces from 233 vehicles that known privacy algorithms cannot meet accuracy requirements or fail to provide privacy guarantees for drivers in low-density areas.  ...  As evident from the data, the uncertainty-aware privacy algorithm effectively limits time to confusion to 5 min, except for very low privacy settings (i.e., low uncertainty threshold less than 0.4), while  ... 
doi:10.1145/1315245.1315266 dblp:conf/ccs/HohGXA07 fatcat:gf2flall4fgt3ms3t4kgsa6kzi

Context aware handover algorithms for mobile positioning systems

Khan Sazid Zaman, Silvadorai Thilek, Chen-Wei Tan, Ramadass Sureswaran, Anwar Toni
2014 Computer Science  
This work proposes context aware handover algorithms for mobile positioning systems.  ...  This kept the average error of positioning below 42.1 meters for Locate@nav6 while the average error for two other applications namely Google Latitude and Malaysia maps was between 92.7 and 171.13 meters  ...  We are thankful to Towfique Anam Rine and Shamsuzzaman Sadi for their assistance in this work.  ... 
doi:10.7494/csci.2014.15.2.133 fatcat:f7g33owmgrbj3l3tkwf2tixdgy
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