SlideShare ist ein Scribd-Unternehmen logo
1 von 33
Location Big Data Boosts
Intelligent Traffic
Jingrun ZHAO
2020.5
2
Company Shareholder Framework
China Siwei CASC Tencent
Managers Public Investment
9.95% 9.74%
8% 72.31%
NavInfo
holding
90%
3
Partners
Beihang
University
Wuhan
University
Vehicles
Governments
and
Enterprises
Univer-
sities
Tsinghua
University
Nankai
University
Beijing Jiaotong
University
Nagoya
University
4
5
Real-time Traffic Information
Ø Coverage: 340+cities in China Mainland and
Hong Kong, Macao and Taiwan. 70%-90%
roads covered.
Ø Accuracy Rate: 90% on highways, 100-
meters resolution.
Ø Update Frequency: 1 minute.
Ø Technical Standard: TPEG, TMC and RTIC.
Ø Publishing Mode: Providing FM and IP for
automakers.
Ø Users: 5 million vehicle users and 100+
governments and enterprises.
A dynamic visualization of Real-time Traffic Information
6
Internet Platform
15 million per minute
Private cars
450 thousand
per minute
Taxi
600 thousand per minute
Bus/Logistics vehicle
400 thousand per
minute
Traffic information by
governments
100 thousand per minute
Daily Active Vehicle Daily collection (km)
Hourly collection at
peak (km)
Collection at peak
per minute (km)
30
million+ 1.2 billion+
Real-time Traffic
Information-Data
Source
60
million+
1 million+
Real-time Traffic Information-Data Source
7
Summary Map
Ø Coverage: Expressways and main roads of 76 cities, intercity highways of 3 economic circles, 2769 graphics
in total
Ø Contents: Real-time traffic flow, driving restriction and events.
Ø Advantages: Simple, clear & fast commercialization
Summary Maps
8
Turning-Lane-level Traffic Information
Ø Coverage: more than 10,000 closed road intersections in China
Ø Information: turning information, speed difference, average speed and traffic status of each lane
Turning-Lane-level Traffic InformationTurning-Lane-level Traffic Information
9
Traffic Prediction Service
Ø Before traveling: to understand the overall traffic situation in the future;
Ø During the journey: to suggest the changing trend of the surrounding & input more supportive data to navigation and ETA
calculation.
Ø Coverage: Presently, short-term accurate prediction service available for 80 + cities & long-term historical data based prediction
available for 340 + cities in China.
Short-term
Medium-term
Long-term
Big data analysis
Rich technology
model algorithms
Cloud-based
services
Traffic Prediction
Service
Application
More accurate traffic information
Intelligent departure time reminder
Convenient route planning
Predicted arrival time reminder
10
Event information release
-
Event
statistics
Data
access
Filtering
data
Fusion
data
Conversi
on data
Release
data
-
Ø Types: traffic accidents, road work, road closure, danger warning etc.
Ø Publishing time: less than 1 minute.
Ø Collection methods: official channels, traffic broadcasting, field collection, business
cooperation and data mining.
Traffic Events Services
Event information
11
12
Road weather – real-time & prediction
5min
Update
1km
Resolution
89.33%
Temperature
correctness
1.8km
Visibility Error
85.54%
Rainfall Accuracy
• Temperature/Road temperature
• Humidity/Road humidity
• Wind speed / direction
• Visibility
• Precipitation probability &
precipitation amount
13
14
Local Hazard Warning
Geo-referenced Hazard Warning
Service provides near real-time,
cloud-based alerting service of
dangerous road conditions ahead.
These hazard events are generated
from car sensor data and 3rd party
data such as weather, traffic
camera.
15
Accident warning
Reduced visibility warning
Broken down vehicle warning
Slippery road warning
Local Hazard Events
16
Better Navigation
Use hazard event information as a parameter
to improve route plan calculation.
Deliver alerts to drivers via navigation system,
supporting different formats of messages.
ADAS Safety Driving
Inform nearby drivers of locally happened
hazard events to help preparing volatile
conditions ahead by alert messages.
Assist Automatic Driving
Riches input data for automatic vehicles to
monitor their surroundings better and
make informed decisions.
Applications
17
18
Traffic Police Transportation
Urban Planning Insurance
MineLab
DataHIVE
MineService
MineMapMineStudio
Location Big Data Platform MineData
Ø MineData is a location information SaaS platform of NavInfo, which was founded by its own advantages of data, algorithm and technology.
It integrates the data of all subsidiaries and products of NavInfo and partners.
19
DataHIVE- Massive Location Data
Data Aggregation
Data Supply
Data
extraction
Data
Transfer
Data Processing
Data
Moving
Voice, Search Logs, Travel Logs, Signaling
Data
Vehicle
Vehicle Trajectory, OBD,
Vehicle Sensor Data
Road, Railway, Petrol Station, Charging Station,
Parking Lot, Road Sign
Greens, Water, Satellite Image,
Road Photo, Point Cloud
Environment
People
Infrastructure
20
MineMap - Visualization
Global Earthquake Distribution Scenic Spot Heat MapLevel Map Traffic Information
Address LibraryRefined Roads3D Sphere 3D City
21
MineMap - 3D Spatial Analysis & Assistant Tools
Submergence Analysis Visibility Analysis
Measuring Crop Roller Blind
3D
Spatial
Analysis
Assistant
Tools
Light Analysis
22
MineLab
Selecting Data
Writing Algorithm
Matching Algorithm
Selecting
Template
Seeing Results
Interactive Data Analysis
Environment
Rapidly Construct
Workflow
AI Environment Strong Algorithmic Library
Support
23
MineLab Cases
Tidal Phenomenon Analysis
ETACongestion Tendency Analysis
Crossing Evaluation Urban Congestion Analysis
Harsh Brake
24
MineService
Ø MineService products closely connect with the mobility business scenarios, meeting the demands of various industry users in
geographic location-based service and operation monitoring.
MineService provides effective service management and
service call chain monitoring capabilities, real-time analysis of
operational status, escorting efficient business operations.
Customized Location Service
Map
Matching
Mileage Pile
Search
Traffic
Information
Search
Service
Route
Planning
Geocoding
LBS Service Microservice Governance
25
MineStudio
Ø MineStudio integrates the whole product line capacities of MineData, with data ecology, algorithm advanced research,
interactive development and operation-available service.
New Ecological
Market
Multi-Function
Console
Operation
Platform
Core Capability of MineStudio
26
27
Traffic Police Industry Solution
Information
Gathering
Commanding
&Serving
Supervising
&Publicizing
28
Urban Planning Industry Solution
Analysis of Individual
Commuting
Analysis of Public
Transportation System
Analysis of Road
Operation
29
Urban Planning Industry Solution
Traffic Impact Analysis
Report
Housing Estate
Planning
Road Planning
30
Transportation Industry Solution
Active Security
Dangerous Driving
Behavior
Geo-fencing
31
Transportation Industry Solution
Vehicle Status
Vehicle Utilization
Driving Behavior
32
Locations big data its

Weitere ähnliche Inhalte

Was ist angesagt?

Open tech The Quest for Open Rail Data
Open tech The Quest for Open Rail DataOpen tech The Quest for Open Rail Data
Open tech The Quest for Open Rail DataJonathan Raper
 
Big Data and Intel® Intelligent Systems Solution for Intelligent transportation
Big Data and Intel® Intelligent Systems Solution for Intelligent transportationBig Data and Intel® Intelligent Systems Solution for Intelligent transportation
Big Data and Intel® Intelligent Systems Solution for Intelligent transportationOdinot Stanislas
 
Consumer Focus/ Passenger focus open rail data
Consumer Focus/ Passenger focus open rail dataConsumer Focus/ Passenger focus open rail data
Consumer Focus/ Passenger focus open rail dataJonathan Raper
 
TransportAPI outline Jan 2015
TransportAPI outline Jan 2015TransportAPI outline Jan 2015
TransportAPI outline Jan 2015Jonathan Raper
 
Bus Karo: Developing Supporting Ecosystems
Bus Karo: Developing Supporting Ecosystems Bus Karo: Developing Supporting Ecosystems
Bus Karo: Developing Supporting Ecosystems WRI India
 
Traveline2011 raper
Traveline2011 raperTraveline2011 raper
Traveline2011 raperTraveline
 
Real time vehicle detection, tracking and counting using raspberry pi.
Real time vehicle detection, tracking and counting using raspberry pi.Real time vehicle detection, tracking and counting using raspberry pi.
Real time vehicle detection, tracking and counting using raspberry pi.Shakas Technologies
 
Transport api smartertravel-2015 v2
Transport api smartertravel-2015 v2Transport api smartertravel-2015 v2
Transport api smartertravel-2015 v2Jonathan Raper
 
Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...
Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...
Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...Techsylvania
 
Chicago OEMC Signal Inventory
Chicago OEMC Signal InventoryChicago OEMC Signal Inventory
Chicago OEMC Signal InventoryDaniel X. O'Neil
 
Disruptive open transport data
Disruptive open transport dataDisruptive open transport data
Disruptive open transport dataJonathan Raper
 
Highway Performance Monitoring System Implementation Using FME
Highway Performance Monitoring System Implementation Using FMEHighway Performance Monitoring System Implementation Using FME
Highway Performance Monitoring System Implementation Using FMESafe Software
 
How can Open Data Revolutionise your Rail Travel?
How can Open Data Revolutionise your Rail Travel?How can Open Data Revolutionise your Rail Travel?
How can Open Data Revolutionise your Rail Travel?theODI
 
Traffic management system sushrut bhosale
Traffic management system sushrut bhosaleTraffic management system sushrut bhosale
Traffic management system sushrut bhosaleSushrut Bhosale
 
The Importance of Timing to Autonomous Vehicle Navigation
The Importance of Timing to Autonomous Vehicle NavigationThe Importance of Timing to Autonomous Vehicle Navigation
The Importance of Timing to Autonomous Vehicle NavigationTim Klimasewski
 

Was ist angesagt? (20)

Open Data for TFL
Open Data for TFLOpen Data for TFL
Open Data for TFL
 
Open tech The Quest for Open Rail Data
Open tech The Quest for Open Rail DataOpen tech The Quest for Open Rail Data
Open tech The Quest for Open Rail Data
 
Big Data and Intel® Intelligent Systems Solution for Intelligent transportation
Big Data and Intel® Intelligent Systems Solution for Intelligent transportationBig Data and Intel® Intelligent Systems Solution for Intelligent transportation
Big Data and Intel® Intelligent Systems Solution for Intelligent transportation
 
Consumer Focus/ Passenger focus open rail data
Consumer Focus/ Passenger focus open rail dataConsumer Focus/ Passenger focus open rail data
Consumer Focus/ Passenger focus open rail data
 
TransportAPI outline Jan 2015
TransportAPI outline Jan 2015TransportAPI outline Jan 2015
TransportAPI outline Jan 2015
 
Bus Karo: Developing Supporting Ecosystems
Bus Karo: Developing Supporting Ecosystems Bus Karo: Developing Supporting Ecosystems
Bus Karo: Developing Supporting Ecosystems
 
Traveline 2011 raper
Traveline 2011 raperTraveline 2011 raper
Traveline 2011 raper
 
Traveline2011 raper
Traveline2011 raperTraveline2011 raper
Traveline2011 raper
 
Real time vehicle detection, tracking and counting using raspberry pi.
Real time vehicle detection, tracking and counting using raspberry pi.Real time vehicle detection, tracking and counting using raspberry pi.
Real time vehicle detection, tracking and counting using raspberry pi.
 
Transport api smartertravel-2015 v2
Transport api smartertravel-2015 v2Transport api smartertravel-2015 v2
Transport api smartertravel-2015 v2
 
Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...
Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...
Xuan Jin, Senior Evangelist, Alibaba Cloud International - Data technology en...
 
Innovation Solutions
Innovation SolutionsInnovation Solutions
Innovation Solutions
 
VEBIMOBE
VEBIMOBEVEBIMOBE
VEBIMOBE
 
Chicago OEMC Signal Inventory
Chicago OEMC Signal InventoryChicago OEMC Signal Inventory
Chicago OEMC Signal Inventory
 
Disruptive open transport data
Disruptive open transport dataDisruptive open transport data
Disruptive open transport data
 
Highway Performance Monitoring System Implementation Using FME
Highway Performance Monitoring System Implementation Using FMEHighway Performance Monitoring System Implementation Using FME
Highway Performance Monitoring System Implementation Using FME
 
How can Open Data Revolutionise your Rail Travel?
How can Open Data Revolutionise your Rail Travel?How can Open Data Revolutionise your Rail Travel?
How can Open Data Revolutionise your Rail Travel?
 
Asset View High level Datasheet
Asset View High level DatasheetAsset View High level Datasheet
Asset View High level Datasheet
 
Traffic management system sushrut bhosale
Traffic management system sushrut bhosaleTraffic management system sushrut bhosale
Traffic management system sushrut bhosale
 
The Importance of Timing to Autonomous Vehicle Navigation
The Importance of Timing to Autonomous Vehicle NavigationThe Importance of Timing to Autonomous Vehicle Navigation
The Importance of Timing to Autonomous Vehicle Navigation
 

Ähnlich wie Locations big data its

EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...
EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...
EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...European Data Forum
 
Big data and public transport
Big data and public transportBig data and public transport
Big data and public transportTristan Wiggill
 
Mr. Paul Chang's presentation at QITCOM 2011
Mr. Paul Chang's presentation at QITCOM 2011Mr. Paul Chang's presentation at QITCOM 2011
Mr. Paul Chang's presentation at QITCOM 2011QITCOM
 
Connected Lives: Where Smart Vehicles Meet the Intelligent Road
Connected Lives: Where Smart Vehicles Meet the Intelligent RoadConnected Lives: Where Smart Vehicles Meet the Intelligent Road
Connected Lives: Where Smart Vehicles Meet the Intelligent RoadCognizant
 
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...BigData_Europe
 
Traffic information system
Traffic information systemTraffic information system
Traffic information systemPresi
 
Asia-Pacific: smart mobility for the public sector with Orange
Asia-Pacific: smart mobility for the public sector with Orange Asia-Pacific: smart mobility for the public sector with Orange
Asia-Pacific: smart mobility for the public sector with Orange Orange Business Services
 
Road hotspot warning system based cooperative concept
Road hotspot warning system based cooperative conceptRoad hotspot warning system based cooperative concept
Road hotspot warning system based cooperative conceptHAO YE
 
Sustainable Communities Through Intelligent Information: Harnessing the Power...
Sustainable Communities Through Intelligent Information: Harnessing the Power...Sustainable Communities Through Intelligent Information: Harnessing the Power...
Sustainable Communities Through Intelligent Information: Harnessing the Power...GovLoop
 
Baseride Technologies - solutions for smart transportation & logistics
Baseride Technologies - solutions for smart transportation & logisticsBaseride Technologies - solutions for smart transportation & logistics
Baseride Technologies - solutions for smart transportation & logisticsEvgeni
 
Worldsensing: A Real World Use Case for Flux by Albert Zaragoza, CTO & Head o...
Worldsensing: A Real World Use Case for Flux by Albert Zaragoza, CTO & Head o...Worldsensing: A Real World Use Case for Flux by Albert Zaragoza, CTO & Head o...
Worldsensing: A Real World Use Case for Flux by Albert Zaragoza, CTO & Head o...InfluxData
 
Both Move & Real Time TomTom
Both Move & Real Time TomTomBoth Move & Real Time TomTom
Both Move & Real Time TomTomSanad Al Hashimi
 
Allan Rasmussen TomTom Maps June 16th 2014 - INSPIRE Conference
Allan Rasmussen TomTom Maps June 16th 2014 - INSPIRE ConferenceAllan Rasmussen TomTom Maps June 16th 2014 - INSPIRE Conference
Allan Rasmussen TomTom Maps June 16th 2014 - INSPIRE ConferenceLudovic Privat
 
Sss14duke BT Innovate Research Design
Sss14duke BT Innovate Research DesignSss14duke BT Innovate Research Design
Sss14duke BT Innovate Research DesignJustin Hayward
 
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOTSMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOTIRJET Journal
 
Practices of AI guided traffic analysis
Practices of AI guided traffic analysisPractices of AI guided traffic analysis
Practices of AI guided traffic analysisJumpingJaq
 
SC4 Workshop 2: Josep Maria Salanova - Pilot in Thessaloniki
SC4 Workshop 2: Josep Maria Salanova - Pilot in ThessalonikiSC4 Workshop 2: Josep Maria Salanova - Pilot in Thessaloniki
SC4 Workshop 2: Josep Maria Salanova - Pilot in ThessalonikiBigData_Europe
 
A Novel Methodology for Traffic Monitoring and Efficient Data Propagation in ...
A Novel Methodology for Traffic Monitoring and Efficient Data Propagation in ...A Novel Methodology for Traffic Monitoring and Efficient Data Propagation in ...
A Novel Methodology for Traffic Monitoring and Efficient Data Propagation in ...IOSR Journals
 
Autonomous Vehicles: Technologies, Economics, and Opportunities
Autonomous Vehicles: Technologies, Economics, and OpportunitiesAutonomous Vehicles: Technologies, Economics, and Opportunities
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
 
CAV Smart Work Zones
CAV Smart Work ZonesCAV Smart Work Zones
CAV Smart Work ZonesAcey Roberts
 

Ähnlich wie Locations big data its (20)

EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...
EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...
EDF2014: Ralf-Peter Schaefer, Head of Traffic Product Unit, TomTom, Germany: ...
 
Big data and public transport
Big data and public transportBig data and public transport
Big data and public transport
 
Mr. Paul Chang's presentation at QITCOM 2011
Mr. Paul Chang's presentation at QITCOM 2011Mr. Paul Chang's presentation at QITCOM 2011
Mr. Paul Chang's presentation at QITCOM 2011
 
Connected Lives: Where Smart Vehicles Meet the Intelligent Road
Connected Lives: Where Smart Vehicles Meet the Intelligent RoadConnected Lives: Where Smart Vehicles Meet the Intelligent Road
Connected Lives: Where Smart Vehicles Meet the Intelligent Road
 
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...
SC4 Workshop 1: Evangelos Mitsakis: Big data Sources for/from Intelligent Roa...
 
Traffic information system
Traffic information systemTraffic information system
Traffic information system
 
Asia-Pacific: smart mobility for the public sector with Orange
Asia-Pacific: smart mobility for the public sector with Orange Asia-Pacific: smart mobility for the public sector with Orange
Asia-Pacific: smart mobility for the public sector with Orange
 
Road hotspot warning system based cooperative concept
Road hotspot warning system based cooperative conceptRoad hotspot warning system based cooperative concept
Road hotspot warning system based cooperative concept
 
Sustainable Communities Through Intelligent Information: Harnessing the Power...
Sustainable Communities Through Intelligent Information: Harnessing the Power...Sustainable Communities Through Intelligent Information: Harnessing the Power...
Sustainable Communities Through Intelligent Information: Harnessing the Power...
 
Baseride Technologies - solutions for smart transportation & logistics
Baseride Technologies - solutions for smart transportation & logisticsBaseride Technologies - solutions for smart transportation & logistics
Baseride Technologies - solutions for smart transportation & logistics
 
Worldsensing: A Real World Use Case for Flux by Albert Zaragoza, CTO & Head o...
Worldsensing: A Real World Use Case for Flux by Albert Zaragoza, CTO & Head o...Worldsensing: A Real World Use Case for Flux by Albert Zaragoza, CTO & Head o...
Worldsensing: A Real World Use Case for Flux by Albert Zaragoza, CTO & Head o...
 
Both Move & Real Time TomTom
Both Move & Real Time TomTomBoth Move & Real Time TomTom
Both Move & Real Time TomTom
 
Allan Rasmussen TomTom Maps June 16th 2014 - INSPIRE Conference
Allan Rasmussen TomTom Maps June 16th 2014 - INSPIRE ConferenceAllan Rasmussen TomTom Maps June 16th 2014 - INSPIRE Conference
Allan Rasmussen TomTom Maps June 16th 2014 - INSPIRE Conference
 
Sss14duke BT Innovate Research Design
Sss14duke BT Innovate Research DesignSss14duke BT Innovate Research Design
Sss14duke BT Innovate Research Design
 
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOTSMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT
SMART SOLUTION FOR RESOLVING HEAVY TRAFFIC USING IOT
 
Practices of AI guided traffic analysis
Practices of AI guided traffic analysisPractices of AI guided traffic analysis
Practices of AI guided traffic analysis
 
SC4 Workshop 2: Josep Maria Salanova - Pilot in Thessaloniki
SC4 Workshop 2: Josep Maria Salanova - Pilot in ThessalonikiSC4 Workshop 2: Josep Maria Salanova - Pilot in Thessaloniki
SC4 Workshop 2: Josep Maria Salanova - Pilot in Thessaloniki
 
A Novel Methodology for Traffic Monitoring and Efficient Data Propagation in ...
A Novel Methodology for Traffic Monitoring and Efficient Data Propagation in ...A Novel Methodology for Traffic Monitoring and Efficient Data Propagation in ...
A Novel Methodology for Traffic Monitoring and Efficient Data Propagation in ...
 
Autonomous Vehicles: Technologies, Economics, and Opportunities
Autonomous Vehicles: Technologies, Economics, and OpportunitiesAutonomous Vehicles: Technologies, Economics, and Opportunities
Autonomous Vehicles: Technologies, Economics, and Opportunities
 
CAV Smart Work Zones
CAV Smart Work ZonesCAV Smart Work Zones
CAV Smart Work Zones
 

Mehr von GeoMedeelel

Intro mga mon_15mar22
Intro mga mon_15mar22Intro mga mon_15mar22
Intro mga mon_15mar22GeoMedeelel
 
Presentation 20220316 nandia
Presentation 20220316 nandiaPresentation 20220316 nandia
Presentation 20220316 nandiaGeoMedeelel
 
Developer community -remote-sensing.pptx
Developer community -remote-sensing.pptxDeveloper community -remote-sensing.pptx
Developer community -remote-sensing.pptxGeoMedeelel
 
Intro mga mon_18feb22
Intro mga mon_18feb22Intro mga mon_18feb22
Intro mga mon_18feb22GeoMedeelel
 
Agriculture drone intro
Agriculture drone introAgriculture drone intro
Agriculture drone introGeoMedeelel
 
Intro mga 15dec2021 (1)
Intro mga 15dec2021 (1)Intro mga 15dec2021 (1)
Intro mga 15dec2021 (1)GeoMedeelel
 
Unisec global mongolia
Unisec global mongoliaUnisec global mongolia
Unisec global mongoliaGeoMedeelel
 
Bayanmunkh geomeeting
Bayanmunkh geomeetingBayanmunkh geomeeting
Bayanmunkh geomeetingGeoMedeelel
 
Intro mga mon_19jan2021
Intro mga mon_19jan2021Intro mga mon_19jan2021
Intro mga mon_19jan2021GeoMedeelel
 
хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25
хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25
хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25GeoMedeelel
 
Bayanmunkh geomeeting (1)
Bayanmunkh geomeeting (1)Bayanmunkh geomeeting (1)
Bayanmunkh geomeeting (1)GeoMedeelel
 
хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25
хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25
хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25GeoMedeelel
 
Intro mga mon_19jan2021
Intro mga mon_19jan2021Intro mga mon_19jan2021
Intro mga mon_19jan2021GeoMedeelel
 
Chcnav moblie mapping solution2
Chcnav moblie mapping solution2Chcnav moblie mapping solution2
Chcnav moblie mapping solution2GeoMedeelel
 
5 d world_v5-19
5 d world_v5-19 5 d world_v5-19
5 d world_v5-19 GeoMedeelel
 
Intro mga 18may2021
Intro mga 18may2021Intro mga 18may2021
Intro mga 18may2021GeoMedeelel
 
Intro mga 14apr2021
Intro mga 14apr2021Intro mga 14apr2021
Intro mga 14apr2021GeoMedeelel
 
Demonstration of super map ai gis technology
Demonstration of super map ai gis technology  Demonstration of super map ai gis technology
Demonstration of super map ai gis technology GeoMedeelel
 
Supermap gis 10i(2020) ai gis technology v1.0
Supermap gis 10i(2020) ai gis technology v1.0Supermap gis 10i(2020) ai gis technology v1.0
Supermap gis 10i(2020) ai gis technology v1.0GeoMedeelel
 

Mehr von GeoMedeelel (20)

Intro mga mon_15mar22
Intro mga mon_15mar22Intro mga mon_15mar22
Intro mga mon_15mar22
 
Presentation 20220316 nandia
Presentation 20220316 nandiaPresentation 20220316 nandia
Presentation 20220316 nandia
 
Developer community -remote-sensing.pptx
Developer community -remote-sensing.pptxDeveloper community -remote-sensing.pptx
Developer community -remote-sensing.pptx
 
Intro mga mon_18feb22
Intro mga mon_18feb22Intro mga mon_18feb22
Intro mga mon_18feb22
 
Agriculture drone intro
Agriculture drone introAgriculture drone intro
Agriculture drone intro
 
Drone 20201216
Drone 20201216Drone 20201216
Drone 20201216
 
Intro mga 15dec2021 (1)
Intro mga 15dec2021 (1)Intro mga 15dec2021 (1)
Intro mga 15dec2021 (1)
 
Unisec global mongolia
Unisec global mongoliaUnisec global mongolia
Unisec global mongolia
 
Bayanmunkh geomeeting
Bayanmunkh geomeetingBayanmunkh geomeeting
Bayanmunkh geomeeting
 
Intro mga mon_19jan2021
Intro mga mon_19jan2021Intro mga mon_19jan2021
Intro mga mon_19jan2021
 
хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25
хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25
хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25
 
Bayanmunkh geomeeting (1)
Bayanmunkh geomeeting (1)Bayanmunkh geomeeting (1)
Bayanmunkh geomeeting (1)
 
хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25
хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25
хиймэл дагуулын мэдээ ашиглан ойн биомассийг тооцох 12 25
 
Intro mga mon_19jan2021
Intro mga mon_19jan2021Intro mga mon_19jan2021
Intro mga mon_19jan2021
 
Chcnav moblie mapping solution2
Chcnav moblie mapping solution2Chcnav moblie mapping solution2
Chcnav moblie mapping solution2
 
5 d world_v5-19
5 d world_v5-19 5 d world_v5-19
5 d world_v5-19
 
Intro mga 18may2021
Intro mga 18may2021Intro mga 18may2021
Intro mga 18may2021
 
Intro mga 14apr2021
Intro mga 14apr2021Intro mga 14apr2021
Intro mga 14apr2021
 
Demonstration of super map ai gis technology
Demonstration of super map ai gis technology  Demonstration of super map ai gis technology
Demonstration of super map ai gis technology
 
Supermap gis 10i(2020) ai gis technology v1.0
Supermap gis 10i(2020) ai gis technology v1.0Supermap gis 10i(2020) ai gis technology v1.0
Supermap gis 10i(2020) ai gis technology v1.0
 

Kürzlich hochgeladen

TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piececharlottematthew16
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionDilum Bandara
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DaySri Ambati
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxNavinnSomaal
 

Kürzlich hochgeladen (20)

TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
Story boards and shot lists for my a level piece
Story boards and shot lists for my a level pieceStory boards and shot lists for my a level piece
Story boards and shot lists for my a level piece
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Advanced Computer Architecture – An Introduction
Advanced Computer Architecture – An IntroductionAdvanced Computer Architecture – An Introduction
Advanced Computer Architecture – An Introduction
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
SAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptxSAP Build Work Zone - Overview L2-L3.pptx
SAP Build Work Zone - Overview L2-L3.pptx
 

Locations big data its

  • 1. Location Big Data Boosts Intelligent Traffic Jingrun ZHAO 2020.5
  • 2. 2
  • 3. Company Shareholder Framework China Siwei CASC Tencent Managers Public Investment 9.95% 9.74% 8% 72.31% NavInfo holding 90% 3
  • 5. 5
  • 6. Real-time Traffic Information Ø Coverage: 340+cities in China Mainland and Hong Kong, Macao and Taiwan. 70%-90% roads covered. Ø Accuracy Rate: 90% on highways, 100- meters resolution. Ø Update Frequency: 1 minute. Ø Technical Standard: TPEG, TMC and RTIC. Ø Publishing Mode: Providing FM and IP for automakers. Ø Users: 5 million vehicle users and 100+ governments and enterprises. A dynamic visualization of Real-time Traffic Information 6
  • 7. Internet Platform 15 million per minute Private cars 450 thousand per minute Taxi 600 thousand per minute Bus/Logistics vehicle 400 thousand per minute Traffic information by governments 100 thousand per minute Daily Active Vehicle Daily collection (km) Hourly collection at peak (km) Collection at peak per minute (km) 30 million+ 1.2 billion+ Real-time Traffic Information-Data Source 60 million+ 1 million+ Real-time Traffic Information-Data Source 7
  • 8. Summary Map Ø Coverage: Expressways and main roads of 76 cities, intercity highways of 3 economic circles, 2769 graphics in total Ø Contents: Real-time traffic flow, driving restriction and events. Ø Advantages: Simple, clear & fast commercialization Summary Maps 8
  • 9. Turning-Lane-level Traffic Information Ø Coverage: more than 10,000 closed road intersections in China Ø Information: turning information, speed difference, average speed and traffic status of each lane Turning-Lane-level Traffic InformationTurning-Lane-level Traffic Information 9
  • 10. Traffic Prediction Service Ø Before traveling: to understand the overall traffic situation in the future; Ø During the journey: to suggest the changing trend of the surrounding & input more supportive data to navigation and ETA calculation. Ø Coverage: Presently, short-term accurate prediction service available for 80 + cities & long-term historical data based prediction available for 340 + cities in China. Short-term Medium-term Long-term Big data analysis Rich technology model algorithms Cloud-based services Traffic Prediction Service Application More accurate traffic information Intelligent departure time reminder Convenient route planning Predicted arrival time reminder 10
  • 11. Event information release - Event statistics Data access Filtering data Fusion data Conversi on data Release data - Ø Types: traffic accidents, road work, road closure, danger warning etc. Ø Publishing time: less than 1 minute. Ø Collection methods: official channels, traffic broadcasting, field collection, business cooperation and data mining. Traffic Events Services Event information 11
  • 12. 12
  • 13. Road weather – real-time & prediction 5min Update 1km Resolution 89.33% Temperature correctness 1.8km Visibility Error 85.54% Rainfall Accuracy • Temperature/Road temperature • Humidity/Road humidity • Wind speed / direction • Visibility • Precipitation probability & precipitation amount 13
  • 14. 14
  • 15. Local Hazard Warning Geo-referenced Hazard Warning Service provides near real-time, cloud-based alerting service of dangerous road conditions ahead. These hazard events are generated from car sensor data and 3rd party data such as weather, traffic camera. 15
  • 16. Accident warning Reduced visibility warning Broken down vehicle warning Slippery road warning Local Hazard Events 16
  • 17. Better Navigation Use hazard event information as a parameter to improve route plan calculation. Deliver alerts to drivers via navigation system, supporting different formats of messages. ADAS Safety Driving Inform nearby drivers of locally happened hazard events to help preparing volatile conditions ahead by alert messages. Assist Automatic Driving Riches input data for automatic vehicles to monitor their surroundings better and make informed decisions. Applications 17
  • 18. 18
  • 19. Traffic Police Transportation Urban Planning Insurance MineLab DataHIVE MineService MineMapMineStudio Location Big Data Platform MineData Ø MineData is a location information SaaS platform of NavInfo, which was founded by its own advantages of data, algorithm and technology. It integrates the data of all subsidiaries and products of NavInfo and partners. 19
  • 20. DataHIVE- Massive Location Data Data Aggregation Data Supply Data extraction Data Transfer Data Processing Data Moving Voice, Search Logs, Travel Logs, Signaling Data Vehicle Vehicle Trajectory, OBD, Vehicle Sensor Data Road, Railway, Petrol Station, Charging Station, Parking Lot, Road Sign Greens, Water, Satellite Image, Road Photo, Point Cloud Environment People Infrastructure 20
  • 21. MineMap - Visualization Global Earthquake Distribution Scenic Spot Heat MapLevel Map Traffic Information Address LibraryRefined Roads3D Sphere 3D City 21
  • 22. MineMap - 3D Spatial Analysis & Assistant Tools Submergence Analysis Visibility Analysis Measuring Crop Roller Blind 3D Spatial Analysis Assistant Tools Light Analysis 22
  • 23. MineLab Selecting Data Writing Algorithm Matching Algorithm Selecting Template Seeing Results Interactive Data Analysis Environment Rapidly Construct Workflow AI Environment Strong Algorithmic Library Support 23
  • 24. MineLab Cases Tidal Phenomenon Analysis ETACongestion Tendency Analysis Crossing Evaluation Urban Congestion Analysis Harsh Brake 24
  • 25. MineService Ø MineService products closely connect with the mobility business scenarios, meeting the demands of various industry users in geographic location-based service and operation monitoring. MineService provides effective service management and service call chain monitoring capabilities, real-time analysis of operational status, escorting efficient business operations. Customized Location Service Map Matching Mileage Pile Search Traffic Information Search Service Route Planning Geocoding LBS Service Microservice Governance 25
  • 26. MineStudio Ø MineStudio integrates the whole product line capacities of MineData, with data ecology, algorithm advanced research, interactive development and operation-available service. New Ecological Market Multi-Function Console Operation Platform Core Capability of MineStudio 26
  • 27. 27
  • 28. Traffic Police Industry Solution Information Gathering Commanding &Serving Supervising &Publicizing 28
  • 29. Urban Planning Industry Solution Analysis of Individual Commuting Analysis of Public Transportation System Analysis of Road Operation 29
  • 30. Urban Planning Industry Solution Traffic Impact Analysis Report Housing Estate Planning Road Planning 30
  • 31. Transportation Industry Solution Active Security Dangerous Driving Behavior Geo-fencing 31
  • 32. Transportation Industry Solution Vehicle Status Vehicle Utilization Driving Behavior 32