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- W2011949915 abstract "Traditional route guidance systems usually model the transportation network as a static graph, however, this model is not close to reality. Due to time-varying and stochastic properties, we establish the mathematical model of a transportation network as a stochastic time-dependent network. Then we define the mathematical formulation of our knowledge about the network, which can be divided into two categories, prior information and real-time information. Under the framework developed by us, we propose two solutions to solve the problem of route guidance based on real-time information. The solutions are, respectively, a fastest path finding algorithm and two time-adaptive decision rules based on greedy strategy. At last, simulation results on an artificial stochastic time-dependent network with multidimensional normal distribution are given and the performance of our algorithms is evaluated and compared." @default.
- W2011949915 created "2016-06-24" @default.
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- W2011949915 date "2013-12-01" @default.
- W2011949915 modified "2023-09-22" @default.
- W2011949915 title "Route guidance systems based on real-time information" @default.
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- W2011949915 doi "https://doi.org/10.1109/iccve.2013.6799920" @default.
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