ANALYSIS THE INFLUENCING FACTORS OF URBAN TRAFFIC FLOWS BY USING NEW AND EMERGING URBAN BIG DATA AND DEEP LEARNING
Abstract. Urban traffic analysis has acted an important role in the process of urban development, which can provide insights for urban planning, traffic management and resource allocation. Meanwhile, the advancement of Intelligent Transportation Systems has produced a variety of traffic-related data from sensors and cameras to monitor urban traffic conditions in high spatio-temporal resolution. This research applies spatial regression models combined with computer vision and deep learning to analyse traffic flow distributions via various factors in the urban areas and traffic flow data. We include road characteristics and surrounding environments such as land use/cover, nearby points of interest (POI) and Google Street View images. The results show that the daily average traffic flow on main roads is much higher than smaller roads, and nearby POIs numbers have positive effect on traffic flows. The impact of land cover type is insignificant in the linear regression model, while demonstrates significant contribution to traffic flows in spatial regression models. Although the spatial autocorrelation still exists after the spatial regression, the spatial error model generates a better fit on the dataset. Further analysis will focus on extend the current model with the time parameters and understand what influence the changes of traffic flow in the different spatio-temporal scales.
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
ANALYSIS THE INFLUENCING FACTORS OF URBAN TRAFFIC FLOWS BY USING NEW AND EMERGING URBAN BIG DATA AND DEEP LEARNING ; volume:XLIII-B4-2022 ; year:2022 ; pages:537-543 ; extent:7
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLIII-B4-2022 (2022), 537-543 (gesamt 7)
- Urheber
-
Li, Y.
Zhao, Q.
Wang, M.
- DOI
-
10.5194/isprs-archives-XLIII-B4-2022-537-2022
- URN
-
urn:nbn:de:101:1-2022060905285918631830
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:27 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Li, Y.
- Zhao, Q.
- Wang, M.
Ähnliche Objekte (12)
FILTERING AIRBORNE LIDAR DATA BY AN IMPROVED MORPHOLOGICAL METHOD BASED ON MULTI-GRADIENT ANALYSIS
RESERCH ON URBAN SPATIAL EXPANSION MODEL BASED ON MULTI-OBJECT GRAY DECISION-MAKING AND CA: A CASE STUDY OF PIDU DISTRICT, CHENGDU CITY
INTEGRATION OF AERIAL, MMS, AND BACKPACK IMAGES FOR SEAMLESS 3D MAPPING IN URBAN AREAS
AUTOMATIC 3D RECONSTRUCTION OF COMPLEX BUILDINGS FROM INCOMPLETE POINT CLOUDS WITH TOPOLOGICAL-RELATION CONSTRAINTS
REMOTE SENSING EVALUATION OF ECOLOGICAL ENVIRONMENT OF ANQING CITY BASED ON REMOTE SENSING ECOLOGICAL INDEX
STRUCTURAL SEGMENTATION OF POINT CLOUDS WITH VARYING DENSITY BASED ON MULTI-SIZE SUPERVOXELS
MONITORING OF DEFORMATION OF THE FOGUANG TEMPLE’S EAST MAIN HALL UNDER THE CONCEPT OF PREVENTIVE CONSERVATION
Doppler ultrasound-guided endoscopic needle-knife treatment of an anastomotic stricture following subtotal colectomy
APPLICATION OF DIGITAL SURVEY MAPPING TECHNOLOGY IN THE INVESTIGATION OF COLORED WOOD STATUE IN THE CAOXI TEMPLE
IMPACT OF SENSOR DATA SAMPLING RATE IN GNSS/INS INTEGRATED NAVIGATION WITH VARIOUS SENSOR GRADES
Applicability of ensemble pattern scaling method on precipitation intensity indices at regional scale
LIDAR-INCORPORATED TRAFFIC SIGN DETECTION FROM VIDEO LOG IMAGES OF MOBILE MAPPING SYSTEM
FILTERING AIRBORNE LIDAR DATA BY AN IMPROVED MORPHOLOGICAL METHOD BASED ON MULTI-GRADIENT ANALYSIS
RESERCH ON URBAN SPATIAL EXPANSION MODEL BASED ON MULTI-OBJECT GRAY DECISION-MAKING AND CA: A CASE STUDY OF PIDU DISTRICT, CHENGDU CITY
INTEGRATION OF AERIAL, MMS, AND BACKPACK IMAGES FOR SEAMLESS 3D MAPPING IN URBAN AREAS
AUTOMATIC 3D RECONSTRUCTION OF COMPLEX BUILDINGS FROM INCOMPLETE POINT CLOUDS WITH TOPOLOGICAL-RELATION CONSTRAINTS
REMOTE SENSING EVALUATION OF ECOLOGICAL ENVIRONMENT OF ANQING CITY BASED ON REMOTE SENSING ECOLOGICAL INDEX
STRUCTURAL SEGMENTATION OF POINT CLOUDS WITH VARYING DENSITY BASED ON MULTI-SIZE SUPERVOXELS
MONITORING OF DEFORMATION OF THE FOGUANG TEMPLE’S EAST MAIN HALL UNDER THE CONCEPT OF PREVENTIVE CONSERVATION
Doppler ultrasound-guided endoscopic needle-knife treatment of an anastomotic stricture following subtotal colectomy
APPLICATION OF DIGITAL SURVEY MAPPING TECHNOLOGY IN THE INVESTIGATION OF COLORED WOOD STATUE IN THE CAOXI TEMPLE
IMPACT OF SENSOR DATA SAMPLING RATE IN GNSS/INS INTEGRATED NAVIGATION WITH VARIOUS SENSOR GRADES
Applicability of ensemble pattern scaling method on precipitation intensity indices at regional scale
LIDAR-INCORPORATED TRAFFIC SIGN DETECTION FROM VIDEO LOG IMAGES OF MOBILE MAPPING SYSTEM
FILTERING AIRBORNE LIDAR DATA BY AN IMPROVED MORPHOLOGICAL METHOD BASED ON MULTI-GRADIENT ANALYSIS
RESERCH ON URBAN SPATIAL EXPANSION MODEL BASED ON MULTI-OBJECT GRAY DECISION-MAKING AND CA: A CASE STUDY OF PIDU DISTRICT, CHENGDU CITY
INTEGRATION OF AERIAL, MMS, AND BACKPACK IMAGES FOR SEAMLESS 3D MAPPING IN URBAN AREAS
AUTOMATIC 3D RECONSTRUCTION OF COMPLEX BUILDINGS FROM INCOMPLETE POINT CLOUDS WITH TOPOLOGICAL-RELATION CONSTRAINTS
REMOTE SENSING EVALUATION OF ECOLOGICAL ENVIRONMENT OF ANQING CITY BASED ON REMOTE SENSING ECOLOGICAL INDEX
STRUCTURAL SEGMENTATION OF POINT CLOUDS WITH VARYING DENSITY BASED ON MULTI-SIZE SUPERVOXELS
MONITORING OF DEFORMATION OF THE FOGUANG TEMPLE’S EAST MAIN HALL UNDER THE CONCEPT OF PREVENTIVE CONSERVATION
Doppler ultrasound-guided endoscopic needle-knife treatment of an anastomotic stricture following subtotal colectomy
APPLICATION OF DIGITAL SURVEY MAPPING TECHNOLOGY IN THE INVESTIGATION OF COLORED WOOD STATUE IN THE CAOXI TEMPLE
IMPACT OF SENSOR DATA SAMPLING RATE IN GNSS/INS INTEGRATED NAVIGATION WITH VARIOUS SENSOR GRADES
Applicability of ensemble pattern scaling method on precipitation intensity indices at regional scale