basierend auf Floating - Google Patents
Visualization of traffic congestion based on Floating Taxi Databasierend auf Floating
View PDF- Document ID
- 9537622912732695221
- Author
- basierend auf Floating V
External Links
Snippet
Within this paper we focus on visualizing data sets of traffic information derived from Floating Car Data (FCD) and visually detecting and analyzing traffic congestion. Cities in Asia, with their increasing number of inhabitants, are good examples for the presence of specific urban …
- 238000007667 floating 0 title abstract description 20
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/26—Navigation; Navigational instruments not provided for in preceding groups specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/05—Geographic models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/20—Drawing from basic elements, e.g. lines or circles
- G06T11/206—Drawing of charts or graphs
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096733—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
- G08G1/096741—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where the source of the transmitted information selects which information to transmit to each vehicle
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in preceding groups
- G01C21/20—Instruments for performing navigational calculations
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zheng et al. | Spatial–temporal travel pattern mining using massive taxi trajectory data | |
Wang et al. | Visual exploration of sparse traffic trajectory data | |
Erdelić et al. | Estimating congestion zones and travel time indexes based on the floating car data | |
Shang et al. | Inferring gas consumption and pollution emission of vehicles throughout a city | |
Feng et al. | Topology density map for urban data visualization and analysis | |
Keler et al. | Detecting vehicle traffic patterns in urban environments using taxi trajectory intersection points | |
Li et al. | A two-phase clustering approach for urban hotspot detection with spatiotemporal and network constraints | |
CN112365595A (en) | Analysis method for identifying traffic accident multi-point based on alarm data point element | |
Keler et al. | Visualization of traffic congestion based on Floating Taxi Data | |
Xu et al. | Continuous emulation and multiscale visualization of traffic flow using stationary roadside sensor data | |
Gomes et al. | Interactive visualization of traffic dynamics based on trajectory data | |
Keler et al. | Detecting traffic congestion propagation in urban environments–a case study with Floating Taxi Data (FTD) in Shanghai | |
basierend auf Floating | Visualization of traffic congestion based on Floating Taxi Data | |
Keler et al. | Visual analysis of floating taxi data based on interconnected and timestamped area selections | |
Ding et al. | Understanding spatiotemporal mobility patterns related to transport hubs from floating car data | |
Wolff et al. | Towards geovisual analysis of crime scenes–a 3D crime mapping approach | |
Keler et al. | Visualization of traffic bottlenecks: Combining traffic congestion with complicated crossings | |
Elliethy et al. | Vector road map registration to oblique wide area motion imagery by exploiting vehicle movements | |
Keler et al. | Detecting travel time variations in urban road networks by taxi trajectory intersections | |
Wang et al. | A geomagnetic sensor dataset for traffic flow prediction | |
Jia et al. | A Transformer-based Multi-modal Model for Urban-Rural Fringe Identification | |
Graser et al. | Assessing traffic performance using position density of sparse FCD | |
Silva et al. | ANTENNA: A Tool for Visual Analysis of Urban Mobility based on Cell Phone Data. | |
Kartika | Visual exploration of spatial-temporal traffic congestion patterns using floating car data | |
Wolff et al. | Geospatial crime scene investigation–from hotspot analysis to interactive 3d visualization |