favorite0The simulation experiments may be used to compare throughput characteristics of various network structures, various station and segment parameters, or particular network in which empty vehicles management parameters or dynamic routing parameters vary.
favorite6analysis of various network topologies of PRT, identification of capacity and ridership of various networks, identification of saturation points (when performance is degraded to inaccessible level) research on dynamic algorithms (especially empty vehicles management and dynamic routing), and identification the operational cost of performance improvement (number of empty trips, distance of empty movement etc) sensitivity of the system to variation of different traffic parameters values..
favorite3Simulation experiments identify the impact of various parameters of management algorithms (mainly of empty vehicle management and dynamic routing) on the passenger comfort (trip time and queue size).
favorite2Personal rapid transit (PRT), is a public transportation mode featuring small automated vehicles operating on a network of specially-built guide ways.
favorite12The simulator of vehicle movement in PRT network as well as algorithms for traffic management and control will be presented.
favorite18This property can effectively replace the randomness assumption about the graph that has been introduced in previous works and we use it to obtain faster algorithms for counting triangles and maximum clique problem.
favorite0On the other hand, we believe that real-world power law networks have more worst-case graph properties that can be exploited in the design and analysis of algorithms.
favorite1First, we define a deterministic condition for checking whether a graph has a power law degree distribution and show that many real-world networks satisfy it.
favorite24We show how to exploit the power law degree distribution to design faster algorithms for a number of classical P-time problems including transitive closure, maximum matching, determinant, PageRank and matrix inverse.
favorite2Abstract It was experimentally observed that the majority of real-world networks are scale-free and follow power law degree distribution.