DATASET GENARATION METHOD BASED ON TAXI DATA DUT Mobile and Social - - PowerPoint PPT Presentation
DATASET GENARATION METHOD BASED ON TAXI DATA DUT Mobile and Social Computing Lab By Zhiqiang Gao CONTENTS Introduction Problem & Solution Related work & Data Proposed method Comments & Questions of of 6 2 28
DUT Mobile and Social Computing Lab By Zhiqiang Gao
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MSCLab Vehicular network Social network
VSN: The virtual mobile community that happened to form when the same people travel along the same roadways at the same time. Connect: Vehicle-to-Vehicle (V2V) Vehicle-to-Infrastructure (V2I)
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Definition: Big data usually includes data sets with sizes beyond the ability
to capture, manage, and process within a tolerable elapsed time. Featur ure: e: Vol
ume
The quantity of data
Variet ety
the category of data
Vel eloc
the speed of data generation or process
Val alue ue
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TAPASCologne Open Street Map SUMO
Demand generation (TAPASCologne) Generate the O/D matrix by exploiting information based on real world data collected by the German Federal Statistical Office 30,700 daily activity reports from more than 7000 households.
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Verification: Compare the traffic information retrieved on ViaMichelin live traffic website with the simulation output at 5:00 pm.
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Outer traffic: Vehicles entering in the defined geographical area. Inner traffic: Starting from resident dential al inside the geographical area.
Source information: Traffic counting devices providing the vehicles flows. OpenStretMap that provides detailed information about the road network and the zones of activity in the country. Traffic detectors Open Street Map SUMO
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Verification: These are charts for those three values obtained by each counting devices available in the simulation area.
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The s he street net networ
Originally developed for the Swiss regional planning authority and covered Switzerland. Dem eman and Their starting point for demand generation for the full Switzerland scenario are 24-hour origin-destination matrices from the Swiss regional planning authority. The resulting 24 initial matrices are then corrected (calibrated) against available hourly counts using the OD-matrix estimation module of VISUM. Mut uti-agent gent Trans nspor
ation
ation
Parallel computing
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Verification: Compare the simulation data with field data. Compare field data with VISUM assignment.
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NO PRIVATE CAR DATA !!
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Taxi i VS VS pr private e car ar Both of them have similar mobility pattern just by different traffic tools, and it implies strong law of mobility. Road Lev
el of
vice ce (LOS) S) A qualitative measure used to relate the quality of traffic service. LOS is used to analyze highways by categorizing traffic flow and assigning quality levels of traffic based on performance measure like speed, density, etc.
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Func unction
egion
They are made up of a central place and surrounding areas affected by it. Often, this is a metropolitan area that consists of a major city and lots of smaller towns or cities that surround it. People share the similar time rule and movement path in the same functional area. Functional region
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Open Street Map (OSM): Create and distribute free geographic data for the world. Simulation of Urban MO MObility (SUMO): An open source, highly portable, microscopic and continuous road traffic simulation package designed to handle large road networks. Java OpenStreetMap Editor (JOSM): An extensible editor for OpenStreetMap written in Java 7.
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Demand Description
Simulation Output
Network Description
SUMO/SUMO-GUI SUMO/ OD2TRIPS Data process Traffic volume statistics Street/road data Growth factor methods O/D Matrix Individual trips
Dataset simulation
Open Street Map JOSM SUMO/ NETGENERATE Network Different functional zones TAXI GPS Data SUMO/ DUAROURTER Routes
workflow
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JOSM
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The horizontal road is tagged as
that affects all of its segments: this correctly forces cars to proceed straight at the bridged intersection with the vertical road. As a result, the westbound traffic cannot join the southbound one.
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SUMO In most cases, tracks and edges which not may be crossed by traffic are not interesting for road traffic research. Remove all the edges which can not be used by vehicles, such as railway, bicycle, pedestrian, motorcycle.
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A B taxi private car Residential region Commercial region Functional regions Taxis volume O/D Matrix
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ArcGIS QGIS Edges Function regions
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QGIS Function regions Traffic volume
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北京市公安局公安交通管理局 http://www.bjjtgl.gov.cn/jgj/
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Net_speeds summary tripInformation
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OD matrix tazs routes
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