Cargando…

Dynamic Traffic Assignment Model Based on GPS Data and Point of Interest (POI) in Shanghai

Dynamic traffic flow, which can facilitate the efficient operation of traffic road networks, is an important prerequisite for the application of reasonable assignment of traffic demands in an urban road network. In order to improve the accuracy of dynamic traffic flow assignment, this paper proposes...

Descripción completa

Detalles Bibliográficos
Autores principales:	Song, Xueying, Yang, Zheng, Wang, Tao, Li, Chaoyang, Zhang, Yi, Chen, Ganyu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587448/ https://www.ncbi.nlm.nih.gov/pubmed/34770649 http://dx.doi.org/10.3390/s21217341

Ejemplares similares

Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation
por: Wang, Hao, et al.
Publicado: (2020)

Points of Interest (POI): a commentary on the state of the art, challenges, and prospects for the future
por: Psyllidis, Achilleas, et al.
Publicado: (2022)

POI recommendation with queuing time and user interest awareness
por: Halder, Sajal, et al.
Publicado: (2022)

The Management of Cases of "Sui" Poi Oning
Publicado: (1884)

Post orgasmic illness syndrome (POIS)
por: Waldinger, Marcel D.
Publicado: (2016)

Identification and prediction of mixed-use functional areas supported by POI data in Jinan City of China
por: Zheng, Minrui, et al.
Publicado: (2023)

POI: Premature Ovarian Insufficiency/Pregnancy or Infertility?
por: Soave, Ilaria, et al.
Publicado: (2013)

Identification and analysis of urban functional area in Hangzhou based on OSM and POI data
por: Wang, Ziyi, et al.
Publicado: (2021)

Spatial pattern and influencing factors of tourism based on POI data in Chengdu, China
por: Liang, Wen, et al.
Publicado: (2023)

Relation Embedding for Personalised Translation-Based POI Recommendation
por: Wang, Xianjing, et al.
Publicado: (2020)

An interpretable framework for investigating the neighborhood effect in POI recommendation
por: Yuan, Guangchao, et al.
Publicado: (2021)

Relational POI recommendation model combined with geographic information
por: Li, Ke, et al.
Publicado: (2022)

Graph-based representation for identifying individual travel activities with spatiotemporal trajectories and POI data
por: Liu, Xinyi, et al.
Publicado: (2022)

Generating traffic flow and speed regional model data using internet GPS vehicle records
por: Ibarra-Espinosa, Sergio, et al.
Publicado: (2019)

Combined GPS/GLONASS Precise Point Positioning with Fixed GPS Ambiguities
por: Pan, Lin, et al.
Publicado: (2014)

Intensified Hyposensitization Is an Effective Treatment of Postorgasmic Illness Syndrome (POIS)
por: Wrotynska-Barczynska, Joanna, et al.
Publicado: (2022)

POIS-10 Māori: Outcomes and Experiences in the Decade Following Injury
por: Wyeth, Emma H., et al.
Publicado: (2021)

Spatial distribution pattern and driving mechanism of tourist attractions in Gansu Province based on POI data
por: Peng, Ruijuan, et al.
Publicado: (2023)

Road Traffic Anomaly Detection via Collaborative Path Inference from GPS Snippets
por: Wang, Hongtao, et al.
Publicado: (2017)

Novel LAT Pathogenic Variants in a POI Family and Its Role in the Ovary
por: Chu, Kun, et al.
Publicado: (2021)

Anchor Generation Optimization and Region of Interest Assignment for Vehicle Detection
por: Wang, Ye, et al.
Publicado: (2019)

Does the Value of FSH Predict Severity of Metabolic Complications in Females with POI?
por: Kunicki, Michał, et al.
Publicado: (2022)

glmGamPoi: fitting Gamma-Poisson generalized linear models on single cell count data
por: Ahlmann-Eltze, Constantin, et al.
Publicado: (2020)

Analysing the global and local spatial associations of medical resources across Wuhan city using POI data
por: Chen, Qiao, et al.
Publicado: (2023)

Interactive, Multiscale Urban-Traffic Pattern Exploration Leveraging Massive GPS Trajectories
por: Wang, Qi, et al.
Publicado: (2020)

A method of undifferenced ambiguity resolution for GPS+GLONASS precise point positioning
por: Yi, Wenting, et al.
Publicado: (2016)

Intelligent Sensors for POI Recommendation Model Using Deep Learning in Location-Based Social Network Big Data
por: Chang, Wanjun, et al.
Publicado: (2023)

POIS, a Low Cost Tilt and Position Sensor: Design and First Tests
por: Artese, Giuseppe, et al.
Publicado: (2015)

Long-term health of women with genetic POI due to FSH-resistant ovaries
por: Luiro, Kaisu, et al.
Publicado: (2019)

Current Understanding of the Etiology, Symptomatology, and Treatment Options in Premature Ovarian Insufficiency (POI)
por: Ishizuka, Bunpei
Publicado: (2021)

Shared Genetics Between Age at Menopause, Early Menopause, POI and Other Traits
por: Louwers, Yvonne V., et al.
Publicado: (2021)

Sentiment analysis algorithm using contrastive learning and adversarial training for POI recommendation
por: Huang, Shaowei, et al.
Publicado: (2023)

Urban spatial risk prediction and optimization analysis of POI based on deep learning from the perspective of an epidemic
por: Zhang, Yecheng, et al.
Publicado: (2022)

Prospective Outcomes of Injury Study 10 Years on (POIS-10): An Observational Cohort Study
por: Derrett, Sarah, et al.
Publicado: (2021)

A standardized European hexagon gridded dataset based on OpenStreetMap POIs
por: McCarty, Dakota Aaron, et al.
Publicado: (2023)

Rare variants in GPR3 in POI patients: a case series with review of literature
por: Ren, Shuting, et al.
Publicado: (2023)

Invalid-Resource-Aware Spectrum Assignment for Advanced-Reservation Traffic in Elastic Optical Network
por: He, Shufang, et al.
Publicado: (2020)

Study on the Traffic Air Pollution inside and outside a Road Tunnel in Shanghai, China
por: Zhou, Rui, et al.
Publicado: (2014)

Impact of the COVID-19 lockdown on roadside traffic-related air pollution in Shanghai, China
por: Wu, Cui-lin, et al.
Publicado: (2021)

SEDE-GPS: socio-economic data enrichment based on GPS information
por: Sperlea, Theodor, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_0cba4tki2uh0g5frm8pl5kl28f