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Travel mode estimation for multi-modal journey planner · Study

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ArticleTravel mode estimation for multi-modal journey planner

Heikki Mäenpää2017

Article2017

Travel mode estimation for multi-modal journey planner

Heikki Mäenpää · Andrei Lobov · Jose Luis Martinez Lastra

60 citations·0/0 files stored·Transportation Research Part C Emerging Technologies

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

Abstract

No abstract was published for this record.

Citations in this library

Stored only when both papers are in the corpus — 60 citations exist upstream.

References

2011Transportation mode detection using mobile phones and GIS information 2009The value of reliability 2011A GPS/GIS method for travel mode detection in New York City 2007Search for a global positioning system device to measure person travel 2012Inferring hybrid transportation modes from sparse GPS data using a moving window SVM classification 2013Incorporating space–time constraints and activity-travel time profiles in a multi-state supernetwork approach to individual activity-travel scheduling 2016Detecting trip purposes from smartphone-based travel surveys with artificial neural networks and particle swarm optimization 2016Transportation mode detection – an in-depth review of applicability and reliability

Cited by

2018Collecting travel diaries: Current state of the art, best practices, and future research directions 2022Trajectory-as-A-Sequence: A Novel Travel Mode Identification Framework 2021GPS data-based mobility mode inference model using long-term recurrent convolutional networks 2022Assessing the role of geographic context in transportation mode detection from GPS data 2019A Combined Solution for Real-Time Travel Mode Detection and Trip Purpose Prediction 2020On the requirements on spatial accuracy and sampling rate for transport mode detection in view of a shift to passive signalling data 2019Online travel mode detection method using automated machine learning and feature engineering 2020A Multi-Scale Attributes Attention Model for Transport Mode Identification

Details

Year2017

Typearticle

Published2017-07-11

VenueTransportation Research Part C Emerging Technologies

ISSN-L0968-090X

Languageen

Citations60

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

Identifiers

doi10.1016/j.trc.2017.06.021

openalex_workW2736098799

Links

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