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- W2967309568 abstract "Hot routes refer to routes that massive vehicles pass through in a period of time. Mining hot routes of private vehicles can help us understand the travel behavior of private vehicles, which is of great help to urban traffic management and construction. This study aims to mine hot routes of private vehicles using Electronic Registration Identification (ERI) data, which is huge amount of traffic data. In this paper, we propose a mining algorithm, Prefix-projected Sequence Pattern Mining based on Successor Set (PSSS), which is based on the idea of PrefixSpan algorithm to mine hot routes. Firstly, we extract private vehicle trips from ERI data. Then we transform trips into string sequences. We use the PSSS algorithm to mine hot routes of private vehicles. Finally, we analyze the hot routes of private vehicles and compare efficiency of two algorithms. The experimental results are of guiding significance to the traffic management and construction of intelligent transportation." @default.
- W2967309568 created "2019-08-22" @default.
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- W2967309568 date "2019-06-11" @default.
- W2967309568 modified "2023-10-17" @default.
- W2967309568 title "Mining Private Vehicle Hot Routes Using Electronic Registration Identification Data" @default.
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- W2967309568 doi "https://doi.org/10.1145/3341620.3341633" @default.
- W2967309568 hasPublicationYear "2019" @default.
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