Full text: Proceedings, XXth congress (Part 4)

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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004 
  
After formalizing the representations, generalization operators 
that will be used during the process were determined and object 
representation types defined in reasoning processes. Following 
figure briefly illustrates the reasoning processes in this work. 
Although only displacement, merging and refinement 
considered in the Figure 2, smoothing, simplification are 
significant operators, which are used in line generalization. 
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
MRDB 
n ‘4th Level 
R,D 
M 
3rd Level 
MRDB 
Junction 
2nd Level 
MRDB 
Junction 
Ist Level 
Geometric 
R : Refinement [7] Object €} Representatior 
in MRDB 
D : Displacement Relations 
C Reasoning 
M : Merging «t» Bidirectional Processes 
Connectivities 
Figure 2: Reasoning Processes (Modified from Kilpelainen, 
1997) 
4.4 Tests for the Representations 
Single and two-lane representations of the junctions were tested 
to determine which representation level is more consistent to 
the current software in which navigational calculations can be 
done. In this context network topology is created in three 
different programs than same queries are done for different 
representations of the junctions in the name of finding shortest 
path. One of the test results is given in Figure 3 According to 
this figure, arrows on the single lane representation show the 
road directions. While query result points the wrong way for 
this representation because of wrong directionality, it is 
possible to obtain the correct result in two-lane 
representation(Ulugtekin et al., 2004). As a result of these tests, 
it is understood that although two-lane representation of the 
roads have some problems, it is more consistent to the 
navigation programs and their current solutions for the 
problems. 
5. CONCULUSION AND FUTURE WORKS 
Navigation systems take more places in automobile industry 
and everyday life day by day. Future works on intelligent 
transportation systems aiming to manage the full-automated 
drive, so future systems should be designed based on artificial 
intelligence and expert systems. It is obvious that a user, driver, 
wants the system to represent the world reality as detailed as 
possible. But it should not be forgotten that the lack of detail 
makes the map unreadable. However, limits of the details 
should be determined by considering constraints of small 
display cartography. 
In this study it is proposed that using two-lane representation of 
roads in navigation maps would be more convenient for several 
reasons. First of all it represents the world reality, especially 
junctions, better than single one. At the end of the formalization 
process it is understood that there is a significant differences 
between formalization of two lane and single lane 
representations because of the one or two-way distinction in 
single lane representation. Finally, while standard topological 
algorithms can run on two-lane representations additional 
programs are needed for single representations. This means that 
exchangeability of the two-lane representation is better than the 
single one. 
  
Start Point 1 
e = — 
  
  
i End Point 
  
  
End Point 
  
Single Lane Representation 
  
  
Figure 3. Shortest path query results in two and single lane 
representations 
In this work, actual scales of the representations were not 
explicitly determined, because only road network were 
considered as a problem. Thus roads should be considered with 
their surrounding objects. This work should be developed and 
applied on the all road network of Istanbul. Derivation of these 
 
	        
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