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Zhao, Xiaoyun, Ph.D.ORCID iD iconorcid.org/0000-0002-7512-5321
Publications (10 of 27) Show all publications
Sadeghian, P., Golshan, A., Zhao, X. & Håkansson, J. (2024). A deep semi-supervised machine learning algorithm for detecting transportation modes based on GPS tracking data. Transportation
Open this publication in new window or tab >>A deep semi-supervised machine learning algorithm for detecting transportation modes based on GPS tracking data
2024 (English)In: Transportation, ISSN 0049-4488, E-ISSN 1572-9435Article in journal (Refereed) Epub ahead of print
Abstract [en]

Transportation research has benefited from GPS tracking devices since a higher volume of data can be acquired. Trip information such as travel speed, time, and most visited locations can be easily extracted from raw GPS tracking data. However, transportation modes cannot be extracted directly and require more complex analytical processes. Common approaches for detecting travel modes heavily depend on manual labelling of trajectories with accurate trip information, which is inefficient in many aspects. This paper proposes a method of semi-supervised machine learning by using minimal labelled data. The method can accept GPS trajectory with adjustable length and extract latent information with long short-term memory (LSTM) Autoencoder. The method adopts a deep neural network architecture with three hidden layers to map the latent information to detect transportation mode. The proposed method is assessed by applying it to the case study where an accuracy of 93.94% can be achieved, which significantly outperforms similar studies.

Place, publisher, year, edition, pages
Springer, 2024
Keywords
Travel identification, LSTM Autoencoder, Unsupervised learning, Deep learning, GPS tracking data
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:du-48203 (URN)10.1007/s11116-024-10472-x (DOI)001164352600001 ()
Available from: 2024-03-08 Created: 2024-03-08 Last updated: 2024-03-28Bibliographically approved
Sadeghian, P., Han, M., Håkansson, J. & Zhao, X. (2024). Testing feasibility of using a hidden Markov model on predicting human mobility based on GPS tracking data. Transportmetrica B: Transport Dynamics, 12(1), Article ID 2336037.
Open this publication in new window or tab >>Testing feasibility of using a hidden Markov model on predicting human mobility based on GPS tracking data
2024 (English)In: Transportmetrica B: Transport Dynamics, ISSN 2168-0566, Vol. 12, no 1, article id 2336037Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Taylor & Francis, 2024
Keywords
GPS movement data, Human behaviour, Markov chain, spatial–temporal prediction, sustainable urban development
National Category
Transport Systems and Logistics Computer Sciences
Identifiers
urn:nbn:se:du-48388 (URN)10.1080/21680566.2024.2336037 (DOI)001196930700001 ()2-s2.0-85189611465 (Scopus ID)
Available from: 2024-04-19 Created: 2024-04-19 Last updated: 2024-06-14Bibliographically approved
Sadeghian, P., Zhao, X., Golshan, A. & Håkansson, J. (2022). A stepwise methodology for transport mode detection in GPS tracking data. Travel Behaviour & Society, 26, 159-167
Open this publication in new window or tab >>A stepwise methodology for transport mode detection in GPS tracking data
2022 (English)In: Travel Behaviour & Society, ISSN 2214-367X, E-ISSN 2214-3688, Vol. 26, p. 159-167Article in journal (Refereed) Published
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:du-36348 (URN)10.1016/j.tbs.2021.10.004 (DOI)000718159400006 ()2-s2.0-85117267641 (Scopus ID)
Available from: 2021-03-18 Created: 2021-03-18 Last updated: 2024-03-28Bibliographically approved
Almlof, E., Zhao, X., Pernestal, A., Jenelius, E. & Nybacka, M. (2022). Frameworks for assessing societal impacts of automated driving technology. Transportation planning and technology (Print), 45(7), 545-572
Open this publication in new window or tab >>Frameworks for assessing societal impacts of automated driving technology
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2022 (English)In: Transportation planning and technology (Print), ISSN 0308-1060, E-ISSN 1029-0354, Vol. 45, no 7, p. 545-572Article in journal (Refereed) Published
Abstract [en]

Numerous studies have studied the impacts of automated driving (AD) technology on e.g. accident rates or CO2 emissions using various frameworks. In this paper we present an overview of previous frameworks used for societal impacts and review their advantages and limitations. Additionally, we introduce the Total Impact Assessment (TIA) framework developed by the Swedish Transport Administration and use this framework to evaluate three scenarios for AD bus services in Stockholm. We conclude that the reviewed frameworks cover different aspects of AD technology, and that e.g. cybersecurity and biodiversity are areas largely neglected. Furthermore, most frameworks assume effects to be homogenous, when there may be large variation in e.g. perceived security. The TIA framework does not manage to include all societal aspects of AD technology, but has great benefits and manages to provide important insights of the societal impacts of AD technology, especially how effects may wary for different actors.

Place, publisher, year, edition, pages
Taylor & Francis, 2022
Keywords
Automated driving, autonomous vehicles, framework, review, societal impacts
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:du-42987 (URN)10.1080/03081060.2022.2134866 (DOI)000871790500001 ()2-s2.0-85141181840 (Scopus ID)
Available from: 2022-11-07 Created: 2022-11-07 Last updated: 2023-03-17
Sadeghian, P., Håkansson, J. & Zhao, X. (2021). Review and evaluation of methods in transport mode detection based on GPS tracking data. Journal of Traffic and Transportation Engineering (English Edition), 8(4), 467-482
Open this publication in new window or tab >>Review and evaluation of methods in transport mode detection based on GPS tracking data
2021 (English)In: Journal of Traffic and Transportation Engineering (English Edition), ISSN 2095-7564, Vol. 8, no 4, p. 467-482Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Chang'an University, 2021
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:du-37854 (URN)10.1016/j.jtte.2021.04.004 (DOI)000686480100001 ()2-s2.0-85110302232 (Scopus ID)
Available from: 2021-08-05 Created: 2021-08-05 Last updated: 2024-03-28Bibliographically approved
Sadeghian, P., Håkansson, J. & Zhao, X. (2021). Review in transport mode detection based on GPS data. Journal of Traffic and Transportation Engineering (English Edition)
Open this publication in new window or tab >>Review in transport mode detection based on GPS data
2021 (English)In: Journal of Traffic and Transportation Engineering (English Edition), ISSN 2095-7564Article in journal (Refereed) Submitted
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:du-36347 (URN)
Available from: 2021-03-18 Created: 2021-03-18 Last updated: 2023-04-14Bibliographically approved
Johari, F., Peronato, G., Sadeghian, P., Zhao, X. & Widén, J. (2020). Urban building energy modeling: State of the art and future prospects. Renewable and Sustainable Energy Reviews, 128, Article ID 109902.
Open this publication in new window or tab >>Urban building energy modeling: State of the art and future prospects
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2020 (English)In: Renewable and Sustainable Energy Reviews, ISSN 1364-0321, Vol. 128, article id 109902Article in journal (Refereed) Published
National Category
Civil Engineering
Research subject
Research Profiles 2009-2020, Complex Systems – Microdata Analysis
Identifiers
urn:nbn:se:du-33445 (URN)10.1016/j.rser.2020.109902 (DOI)000540081900009 ()2-s2.0-85084489825 (Scopus ID)
Note

Export Date: 28 May 2020; Review

Available from: 2020-05-28 Created: 2020-05-28 Last updated: 2021-11-12Bibliographically approved
Zhang, X., Xiao, M., He, W., Qiu, Z. & Zhao, X. (2019). Heat Pump Technologies and Their Applications in Solar Systems. In: Xudong Zhao, Xiaoli Ma (Ed.), Advanced Energy Efficiency Technologies for Solar Heating, Cooling and Power Generation: (pp. 311-339). Springer
Open this publication in new window or tab >>Heat Pump Technologies and Their Applications in Solar Systems
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2019 (English)In: Advanced Energy Efficiency Technologies for Solar Heating, Cooling and Power Generation / [ed] Xudong Zhao, Xiaoli Ma, Springer, 2019, p. 311-339Chapter in book (Refereed)
Abstract [en]

As the well known that global energy demand is on a trend of continuous growth, reducing energy demand and making good use of renewable energy are thought to be the major routes toward low carbon and sustainable future, in particular for the building sector. Compared to traditional gas-fired heating systems, heat pumps have been proved to be an energy-efficient heating technology which can save fossil fuel energy and consequently reduce CO2 emission. However, the most outstanding challenges for the application of heat pumps lie in their high demand for electrical power, and the insufficient heat transfer between the heat source and the refrigerant. To overcome these difficulties, a solar-assisted heat pump has been proposed to tackle these challenges. A solar-assisted heat pump combines a heat pump with a solar collector, enabling the use of solar energy to provide space heating and hot water for buildings. This chapter introduces heat pump technologies and their applications in solar systems. Two types of solar-assisted heat pump, direct and indirect expansion, are illustrated in details. This work has provided the fundamental research and experience for developing a solar heat pump system and contributing to a significant fossil fuel saving and carbon reduction in the global extent.

Place, publisher, year, edition, pages
Springer, 2019
Series
Green Energy and Technology
Keywords
Heat pump, PV, Loop heat pipe, Micro-channels-evaporator, Performance
National Category
Energy Engineering
Research subject
Research Profiles 2009-2020, Energy and Built Environments
Identifiers
urn:nbn:se:du-30577 (URN)10.1007/978-3-030-17283-1_9 (DOI)2-s2.0-85068761593 (Scopus ID)978-3-030-17282-4 (ISBN)978-3-030-17283-1 (ISBN)
Available from: 2019-07-24 Created: 2019-07-24 Last updated: 2021-11-12Bibliographically approved
Zhang, X., Wang, X. & Zhao, X. (2019). Solar System Design and Energy Performance Assessment Approaches. In: Advanced Energy Efficiency Technologies for Solar Heating, Cooling and Power Generation: (pp. 417-451). Springer
Open this publication in new window or tab >>Solar System Design and Energy Performance Assessment Approaches
2019 (English)In: Advanced Energy Efficiency Technologies for Solar Heating, Cooling and Power Generation, Springer, 2019, p. 417-451Chapter in book (Refereed)
Abstract [en]

Recently, solar system has gained a rapid development in many countries because it is clean and sustainable. Many solar systems including the solar photovoltaic/loop-heat-pipe (PV/LHP), solar loop-heat-pipe (LHP), solar photovoltaic/micro-channel heat pipe (PV/MCHP) system, and solar thermal facade system (STF) have been designed for energy saving. To assess these systems’ performance, there are many approaches such as energy and exergy assessment which is used in this chapter to analyze their performance. Besides the system design, the authors set up dedicated experimental models in combination with computer models to test the systems’ performance. Furthermore, some systems are compared with the conventional system, and the performance of these solar systems is better than the conventional system. In addition, these solar systems are applied in many real buildings and their performance is examined, the results show that the solar systems have more potential to boost the building energy efficiency and create the possibility of solar development in buildings. © 2019, Springer Nature Switzerland AG.

Place, publisher, year, edition, pages
Springer, 2019
Series
Green Energy and Technology
Keywords
Energy and exergy, LHP, Performance assessment, PV/LHP, PV/MCHP, STF
National Category
Environmental Analysis and Construction Information Technology
Research subject
Research Profiles 2009-2020, Energy and Built Environments
Identifiers
urn:nbn:se:du-30573 (URN)10.1007/978-3-030-17283-1_12 (DOI)2-s2.0-85068790412 (Scopus ID)978-3-030-17282-4 (ISBN)978-3-030-17283-1 (ISBN)
Available from: 2019-07-23 Created: 2019-07-23 Last updated: 2021-11-12Bibliographically approved
Zhang, X., Wei, Y., He, W., Qiu, Z. & Zhao, X. (2019). Solar Systems’ Economic and Environmental Performance Assessment. In: Xudong Zhao, Xiaoli Ma (Ed.), Advanced Energy Efficiency Technologies for Solar Heating, Cooling and Power Generation: (pp. 453-486). Springer
Open this publication in new window or tab >>Solar Systems’ Economic and Environmental Performance Assessment
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2019 (English)In: Advanced Energy Efficiency Technologies for Solar Heating, Cooling and Power Generation / [ed] Xudong Zhao, Xiaoli Ma, Springer, 2019, p. 453-486Chapter in book (Refereed)
Abstract [en]

The economic and environmental performance assessment of the solar system plays a critical role in building design, operation and retrofit. A dedicated economic model is necessary to assess the investment feasibility on a new technology, which allows investors to decide on a profitable investment, compare investment projects and know about the benefits of the best investment. An environmental model is adopted to predict carbon emission reduction in the solar system relative to the traditional heating and electronic systems. This chapter introduced three up-to-date solar system models and corresponding assessments related to their applications, including solar photovoltaic/loop heat pipe (PV/LHP) heat pump water heating system, loop heat pipe-based solar thermal facade (LHP-STF), heat pump water heating system as well as solar thermal facade (STF). The research results will be able to assist in decision-making in implementation of the proposed PV/T technology and analyses of the associated economic and environmental benefits, thus contributing to realization of regional and global targets on fossil fuel energy saving and environmental sustainability.

Place, publisher, year, edition, pages
Springer, 2019
Series
Green Energy and Technology
Keywords
PV, Loop heat pipe, Solar thermal facade, Economic, Environmental
National Category
Energy Engineering
Research subject
Research Profiles 2009-2020, Energy and Built Environments
Identifiers
urn:nbn:se:du-30576 (URN)10.1007/978-3-030-17283-1_13 (DOI)2-s2.0-85068769640 (Scopus ID)978-3-030-17282-4 (ISBN)978-3-030-17283-1 (ISBN)
Available from: 2019-07-24 Created: 2019-07-24 Last updated: 2021-11-12Bibliographically approved
Projects
Energiledningssystem för anläggningar (ELSA): Greppet om utsläppen
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-7512-5321

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