Sökning: "Map-matching"

Visar resultat 1 - 5 av 9 avhandlingar innehållade ordet Map-matching.

1. 1. Efficient Map Matching and Discovery of Frequent and Dominant Movement Patterns in GPS Trajectory Data

   Författare :Can Yang; Yifang Ban; Gyözö Gidofalvi; Xiaoliang Ma; Mirco Nanni; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; map matching; contiguous sequential pattern mining; contiguous sequential pattern comparison; movement pattern detection; Kartmatchning; sammanhängande sekventiellt mönster utvinning; sammanhängande sekventiellt mönster jämförelse; rörelsemönster detektering; Geoinformatics; Geoinformatik;

   Sammanfattning : The wide deployment of Global Positioning System (GPS) sensors for movement data collection has enabled a wide range of applications in transportation and urban planning. Frequent and dominant movement patterns embedded in GPS trajectory data provide valuable knowledge including the spatial and temporal distribution of frequent routes selected by the tracked objects and the regular movement behavior in certain regions. LÄS MER

3. 2. Path Inference of Sparse GPS Probes for Urban Networks : Methods and Applications

   Författare :Mahmood Rahmani; Harilaos Koutsopoulos; Clas Rydergren; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; map-matching; path inference; sparse GPS probes; FCD; urban area; digital road network; Stockholm; taxi; iMobility Lab; MapViz; travel time; SRA - Transport; SRA - Transport;

   Sammanfattning : The application of GPS probes in traffic management is growing rapidly as the required data collection infrastructure is increasingly in place in urban areas with significant number of mobile sensors moving around covering expansive areas of the road network. Most travelers carry with them at least one device with a built-in GPS receiver. LÄS MER

4. 3. Discovering Contiguous Sequential Patterns in Network-Constrained Movement

   Författare :Can Yang; Yifang Ban; Gyözö Gidofalvi; Xiaoliang Ma; Clas Rydergren; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; map matching; trajectory pattern mining; closed contiguous sequential pattern mining; trajectory pattern visualization; Geodesy and Geoinformatics; Geodesi och geoinformatik;

   Sammanfattning : A large proportion of movement in urban area is constrained to a road network such as pedestrian, bicycle and vehicle. That movement information is commonly collected by Global Positioning System (GPS) sensor, which has generated large collections of trajectories. LÄS MER

5. 4. Urban Travel Time Estimation from Sparse GPS Data : An Efficient and Scalable Approach

   Författare :Mahmood Rahmani; Harilaos Koutsopoulos; Nikolas Geroliminis; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; map-matching; path inference; sparse GPS probes; floating car data; arterial; urban area; digital road network; iterative travel time estimation; fixed point problem; Stockholm; taxi; Transportvetenskap; Transport Science;

   Sammanfattning : The use of GPS probes in traffic management is growing rapidly as the required data collection infrastructure is increasingly in place, with significant number of mobile sensors moving around covering expansive areas of the road network. Many travelers carry with them at least one device with a built-in GPS receiver. LÄS MER

7. 5. Helping robots help us : Using prior information for localization, navigation, and human-robot interaction

   Författare :Malcolm Mielle; Martin Magnusson; Achim Lilienthal; Erik Schaffernicht; Marjorie Skubic; Örebro universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; graph-based SLAM; prior map; sketch map; emergency map; map matching; graph matching; segmentation; search and rescue;

   Sammanfattning : Maps are often used to provide information and guide people. Emergency maps or floor plans are often displayed on walls and sketch maps can easily be drawn to give directions. However, robots typically assume that no knowledge of the environment is available before exploration even though making use of prior maps could enhance robotic mapping. LÄS MER