1 On ‘Line graphs’ and Road Networks Peter Bogaert, Veerle Fack, Nico Van de Weghe, Philippe De Maeyer Ghent University
GISRUK - Topology and Spatial Databases Workshop – Glasgow Modelling Real World Virtual World
GISRUK - Topology and Spatial Databases Workshop – Glasgow Modelling Minimize data storage Fast answer Resemble real-life as much as possible
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Modelling Specific case of a road network for navigation purposes on the network itself A Graph G(N, E, c) N {a,b,c,d,e,f, …} : a set of nodes E {(a,b) ; (a,c) ; (b,d) ; …} : a set of connections between nodes c : a cost that can be mapped onto each edge
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Spatial problems : Graph theoretical problems A Shortest path Travelling Salesman problem (visit all nodes) Chinese Postman problem (visit all edges) Etc.
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Mapping of a road network onto a graph Nodes : intersections and endpoints Edges : connections between intersections and endpoints
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Adding Direction (Different Costs, OneWay) By means of a Directed Graph : D(N,E,c)
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Adding Turn Cost and Prohibitions Cadwell (1961) node expansion (Directed or not)
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Adding Turn Cost and Prohibitions Cadwell (1961), Kirby and Potts(1969) Disadvantage: Data storage Calculation time(e.g. Dijkstra with heaps O(n log n))
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Adding Turn Cost and Prohibitions e.g. Jiang et al. By Using 'Turn Tables ’ For Shortest path same complexity O(nlogn)
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Adding Turn Cost and Prohibitions E.g. Winter (2002) Using a line graph
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Adding Turn Cost and Prohibitions Difference in Navigation Winter Turn Tables
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Adding Turn Cost and Prohibitions E.g. Winter (2002) Better data structure then ‘ node expansion ’ Complexity for SP worse then using turn tables O (n log n) vs. O (e log e)
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Adding Turn Cost and Prohibitions E.g. Winter (2002) Advantages vs. Normal representation Round toursCycles
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Adding Turn Cost and Prohibitions E.g. Winter (2002) Advantages vs. Normal representation U- turns
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Adding Turn Cost and Prohibitions E.g. Winter (2002) Problem concerning specific turns (U-turns) Winter : Splits Nodes (one lane = one node) Doubles number of nodes
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Adding Turn Cost and Prohibitions E.g. Winter (2002) Problem concerning specific turns (U-turn) Winter : Splits Nodes (one lane = one node) Doubles number of nodes
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Adding Turn Cost and Prohibitions Possible solution Using TurnTables in Combination with the line graph
GISRUK - Topology and Spatial Databases Workshop – Glasgow Road Network Adding Turn Cost and Prohibitions Possible solution Turn Table: Defines Line * Line graph
GISRUK - Topology and Spatial Databases Workshop – Glasgow Conclusions and Future Work Conclusion Possible solution Combining the advantages of Line Graph and Turn Tables Levels in Topologic relations with line graph Future Work Implementing the different structures and comparing the different ‘real life’ calculation times
21 On ‘Line graphs’ and Road Networks Peter Bogaert, Veerle Fack, Nico Van de Weghe, Philippe De Maeyer Ghent University Thank you for your attention