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- W2383980050 abstract "The calculation of travel time in urban road has been one of the core issues in the study of the intelligent transportation systems.Accurate and efficient calculation of travel time can effectively help to control the urban road system and avoid traffic congestion.However,with a large and rapidly growing of urban road traffic monitor data,it would be a urgent problem to apply the distributed computing model to the traditional calculation of travel time.In this paper,based on massive road vehicle identification data,MapReduce programming framework is used to design a algorithm for actual measurement of urban road travel time.And using Hadoop environments to implement,it can support the calculation of road travel time in different time periods under the custom section sets.Our experiments show that MapReduce-based computing model is more than 10 times faster in computation time than the traditional way." @default.
- W2383980050 created "2016-06-24" @default.
- W2383980050 creator A5064296499 @default.
- W2383980050 date "2014-01-01" @default.
- W2383980050 modified "2023-09-24" @default.
- W2383980050 title "Urban Road Trip Time Measured Calculation Based on MapReduce" @default.
- W2383980050 hasPublicationYear "2014" @default.
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