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teaching:mfe:is [2019/07/09 13:24]
msakr
teaching:mfe:is [2020/09/29 17:02]
mahmsakr [Python driver for Trajectories]
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 **Interested?​** Contact :  [[svsummer@ulb.ac.be|Stijn Vansummeren]] **Interested?​** Contact :  [[svsummer@ulb.ac.be|Stijn Vansummeren]]
  
-**Status**: ​available+**Status**: ​taken
 ===== Graph Indexing for Fast Subgraph Isomorphism Testing ===== ===== Graph Indexing for Fast Subgraph Isomorphism Testing =====
  
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   * Contact : [[ezimanyi@ulb.ac.be|Esteban Zimanyi]]   * Contact : [[ezimanyi@ulb.ac.be|Esteban Zimanyi]]
  
-**Status**: ​available+**Status**: ​taken
  
-=====Python driver for Trajectories===== 
-Similar to the previous topic, yet for Python. ​ 
- 
-**Interested?​** 
-  * Contact : [[ezimanyi@ulb.ac.be|Esteban Zimanyi]] 
- 
-**Status**: available 
  
 =====Mobility data exchange standards===== =====Mobility data exchange standards=====
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 **Status**: not available **Status**: not available
  
 +=====Scalable Map-Matching=====
 +GPS trajectories originate in the form of a series of absolute lat/lon coordinates. Map-matching is the method of locating the GPS observations onto a road network. It transforms the lat/lon pairs into pairs of a road identifier and a fraction representing the relative position on the road. This preprocessing is essential to trajectory data analysis. It contributes to cleaning the data, as well as preparing it for network-related analysis. There are two modes of map-matching:​ (1) offline, where all the observations of the trajectory exist before starting the map-matching,​ and (2) online, where the observation arrive to the map-matcher one by one in a streaming fashion. Map-matching is known to be an expensive pre-processing,​ in terms of processing time. The growing amount of trajectory data (e.g., autonomous cars) call for map-matching methods that can scale-out. This thesis is about proposing such a solution. It shall survey the existing Algorithms, benchmark them, and propose a scale out architecture. ​  
  
 +MobilityDB has types for lat/lon trajectories,​ as well as map-matched trajectories. the implementation of this thesis shall be integrated with MobilityDB. ​
 +
 +**Interested?​**
 +  * Contact : [[ezimanyi@ulb.ac.be|Esteban Zimanyi]]
 +
 +**Status**: available
 
teaching/mfe/is.txt · Last modified: 2020/09/29 17:03 by mahmsakr