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ArticleLearning daily activity patterns with probabilistic grammars

Siyu Li2015

Article2015

Learning daily activity patterns with probabilistic grammars

Siyu Li · Der‐Horng Lee

30 citations·0/0 files stored·Transportation

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Transportation Planning and Optimization Context-Aware Activity Recognition Systems Human Mobility and Location-Based Analysis

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References

1957Syntactic Structures 2008Understanding individual human mobility patterns 2010Limits of Predictability in Human Mobility 1956Three models for the description of language 1977The structure of random utility models 2001Activity-based disaggregate travel demand model system with activity schedules 1986Finite automata play the repeated prisoner's dilemma 2002Observing the rhythms of daily life: A six-week travel diary

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2021Dynamic activity chain pattern estimation under mobility demand changes during COVID-19 2021Framework for development of the Scheduler for Activities, Locations, and Travel (SALT) model 2017Observing individual dynamic choices of activity chains from location-based crowdsourced data 2020Microscopic activity sequence generation: a multiple correspondence analysis to explain travel behavior based on socio-demographic person attributes 2022A critical review of activity participation decision: a key component of activity-based travel demand models

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Details

Year2015

Typearticle

Published2015-05-18

VenueTransportation

ISSN-L0049-4488

Languageen

Citations30

Files0 public / 0

ShelfTransportation Planning and Optimization

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doi10.1007/s11116-015-9622-1

openalex_workW2176767066

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2023

A joint and simultaneous prediction framework of weekday and weekend daily-activity travel pattern using conditional dependency networks

2024Decoding Urban Mobility: Application of Natural Language Processing and Machine Learning to Activity Pattern Recognition, Prediction, and Temporal Transferability Examination

2023Generating and understanding human daily activity sequences using Time-Varying Markov Chain models