Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Cheng-Jie Jin"'
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 5, p 146 (2024)
To investigate pedestrian route choice mechanisms from a perspective distinct from that employed in discrete choice models (DCMs), this study utilizes machine learning models and employs SHapley Additive exPlanations (SHAP) for model interpretation.
Externí odkaz:
https://doaj.org/article/18133e602fa54ae884d2d9f8c012ed40
The Automatic Detection of Pedestrians under the High-Density Conditions by Deep Learning Techniques
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
The automatic detection and tracking of pedestrians under high-density conditions is a challenging task for both computer vision fields and pedestrian flow studies. Collecting pedestrian data is a fundamental task for the modeling and practical imple
Externí odkaz:
https://doaj.org/article/1f77307cdbf348b48a4fc9faa6e1314f
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2017 (2017)
This study develops a tree augmented naive Bayesian (TAN) classifier based incident detection algorithm. Compared with the Bayesian networks based detection algorithms developed in the previous studies, this algorithm has less dependency on experts
Externí odkaz:
https://doaj.org/article/3176978dfe7c4a52b36e050ea69551ab
Publikováno v:
Sustainability; Volume 15; Issue 11; Pages: 8626
In this paper, a new modified social force model is proposed to simulate the single-file pedestrian flow at high densities. Since the pedestrians could only follow the preceding person in the single-file flow, the way in which the pedestrian chooses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8517e1ff8595fcc17d605bc185a7bdc4
Publikováno v:
2022 IEEE 7th International Conference on Intelligent Transportation Engineering (ICITE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e487cf3103ddd95430c2922acd4b716b
https://doi.org/10.1109/icite56321.2022.10101478
https://doi.org/10.1109/icite56321.2022.10101478
Publikováno v:
Chaos, Solitons & Fractals. 172:113559
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::441168d02dbd223049d727a1d954b513
https://doi.org/10.1016/j.chaos.2023.113559
https://doi.org/10.1016/j.chaos.2023.113559
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 615:128588
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86552473a4c6be910b30bba11a1fd1aa
https://doi.org/10.1016/j.physa.2023.128588
https://doi.org/10.1016/j.physa.2023.128588
Publikováno v:
Travel Behaviour and Society. 19:36-44
The aggregated traffic flow forecasting problem with multi-level mixed logit based route choice model is discussed in this paper. Multi-level unobserved taste heterogeneity in route choice is further divided to two parts, the OD pair specific and obs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f03cfb7ef99cb268601d0cc4972d4052
https://doi.org/10.1016/j.tbs.2019.11.002
https://doi.org/10.1016/j.tbs.2019.11.002
Publikováno v:
Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5ff4c94231e2186f360e434b55e1c75
https://doi.org/10.4108/eai.17-6-2022.2322709
https://doi.org/10.4108/eai.17-6-2022.2322709
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811922589
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92c1ae61a14dae5d21d65818188be11c
https://doi.org/10.1007/978-981-19-2259-6_4
https://doi.org/10.1007/978-981-19-2259-6_4
