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Predicting Individual Trip Destinations with Artificial Potential Fields · Study

WorkPredicting Individual Trip Destinations with Artificial Potential Fields

Alessandro Zonta2017

OA

Workgreen2017

Predicting Individual Trip Destinations with Artificial Potential Fields

Alessandro Zonta · S. K. Smit · Evert Haasdijk

6 citations·0/0 files stored·Lecture notes in computer science

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Human Mobility and Location-Based Analysis Data Management and Algorithms Traffic Prediction and Management Techniques

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References

2008Understanding mobility based on GPS data 2003Using GPS to learn significant locations and predict movement across multiple users 2010Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data 2011NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems 2013Where and what: Using smartphones to predict next locations and applications in daily life 2021Far Out: Predicting Long-Term Human Mobility

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2020A Destination Prediction Model for Individual Passengers in Urban Rail Transit

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Details

Year2017

Typeother

Published2017-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations6

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

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doi10.1007/978-3-319-59513-9_12

openalex_workW2619009545

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