Sökning: onr:"swepub:oai:DiVA.org:du-48388" >
Testing feasibility...
Testing feasibility of using a hidden Markov model on predicting human mobility based on GPS tracking data
-
- Sadeghian, Paria (författare)
- Högskolan Dalarna,Mikrodataanalys
-
- Han, Mengjie, 1985- (författare)
- Högskolan Dalarna,Mikrodataanalys
-
- Håkansson, Johan (författare)
- Högskolan Dalarna,Mikrodataanalys
-
visa fler...
-
- Zhao, Xiaoyun, Ph.D. (författare)
- Högskolan Dalarna,Mikrodataanalys
-
visa färre...
-
(creator_code:org_t)
- Taylor & Francis, 2024
- 2024
- Engelska.
-
Ingår i: Transportmetrica B. - : Taylor & Francis. - 2168-0566. ; 12:1
- Relaterad länk:
-
https://doi.org/10.1...
-
visa fler...
-
https://du.diva-port... (primary) (Raw object)
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Human mobility behaviour is far from random and can be predictable. Predicting human mobility behaviour has the potential to improve location selection for facilities, transportation services, urban planning, and can be beneficial in providing more efficient sustainable urban development strategies. However, it is difficult to model urban mobility patterns since incentives for mobility is complex, and influenced by several factors, such as dynamic population, weather conditions. Thus, this paper proposes a prediction-oriented algorithm under the framework of a Hidden Markov Model to predict next-location and time-of-arrival of human mobility. A comprehensive evaluation of these two schemes for the representation of latent and observable variables is discussed. In conclusion, the paper provides a valuable contribution to the field of mobility behaviour prediction by proposing a novel algorithm. The evaluation shows that the proposed algorithm is stable and consistent in predicting the next location of users based on their past trajectories. © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- GPS movement data
- Human behaviour
- Markov chain
- spatial–temporal prediction
- sustainable urban development
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas