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With the research and application of intelligent transportation system, there is a higher requirement for solving the optimal path problem in large scale transportation networks in real time. In order to get the effective optimal path algorithms for the actual transportation networks, three optimal path algorithms are chosen to be parallelized. The parallel optimal path algorithms are then implemented based on dual-core processor and the speed-up ratio and efficiency of parallel algorithms are tested and analyzed in actual Xi'an road networks with 4525 nodes and 6616 paths. The experiment results show that the parallel algorithms devised in this paper are efficient and the speed-up ratio of the three parallel algorithms are satisfied in solving optimal path problems in large scale networks.