See webinar recording of this presentation at: https://resource.alibabacloud.com/webinar/live.htm?&webinarId=63
Get an overview of how ET City Brain utilizes comprehensive real-time city data to optimize public resources by instantly correcting defects in city operations. Leading to numerous breakthroughs in city management models, service models, and industrial development, ET City Brain provides an open and innovative platform that empowers industry partners and ISVs alike to build better business applications that can be used in tandem with ET City Brain.
Learn more about Alibaba Cloud’s different ET Brains:
https://www.alibabacloud.com/et
3. Footprints of Alibaba ET Brain
2017.122017.062017.032016.102016.082016.04
Small Ai
ET Debut
ET City Brain
ET Industrial Brain
ET
Environment Brain
ET Aviation Brain
ET Agricultural Brain
2018.6
5. AI Capability for ET Brain
§ GN4 (GPU Server)
§ GN5 (GPU Server)
§ GN5i(GPU Server)
§ FPGA
Image / Video Recognition
Image Search
Image Tagging
OCR
ASR / TTS / NLP
PAI
And
more…
§ AI
§ Quantum Computing
§ Autonomous Driving
§ Block-chain
§ Others
6. ET Brain For Verticals
Industry
Agriculture
New RetailFinance
Tourism
City
Environment
Aviation Healthcare
Logistics Energy
7. ET City Brain Solution Architecture
Intelligent Engine Platform
Multi-source Data
Dusion
Bus
Map
Taxi Special Truck
Shuttle Bus
Surveilance System
Traffic Light
Traffic Light Control
视频
数据
Traffic
Policeman
Image
…
…
Traffic Data
Computing
Cluster
Police Video
Network
Traffic Light
Control systm
Electronic Police
SystemTraffic
Manageent
Taxi Management
System
Management
Network
OthersInternet
Road Traffic Others
Public Transport
Bus Scheduling
System
Telecom Provider
Weather Bureau
Traffic Light
Optimization
Crossroads Data
Network
Gateway
Real time GPS DataHistory GPS Data
Historical Data
Bus GPS
Historical Data
Bus GPS
Real time data
Map Data
Video
Lights
Timing
Incident
Detection
Traffic
Condition
Perception
Real-time
Road Situation
Special
Vehicle
Traffic Guiding others
Applications
Data Resource Platform
Data Standard Data Model Data Monitoring Data Directory
Data Integration Data Wrangling Data Exchange Data Security
Base station
Data Bus GPS Data Map structure
data
Shuttle Bus
GPS Data
Traffic Light
historical Data
Bus Route Data
Traffic Data Special Vehicle
GPS Data
Taxi GPS Data Video/Image
Data
Real-time Event
Alerts
Simulation
engine
Traffic Control
Optimization
Command &
Dispatch
Algorithm
Templates
Video Analysis
Engine
Platform
Configuration
Version Mgmt.
Others …
Base station
Data Quality
Data Assets
9. Highlight Scenarios of ET City Brain
Traffic Perception
-
Traffic Light Optimization
Traffic Perception and
Optimization
Proactive Incident Detection and Response
-
Passenger Volume Monitoring and Prediction
-
On-demand Green Wave for Priority Vehicles
Bus Route and Schedule Optimization
Incident Detection and
Response
Public Transportation OptimizationHazardous and Suspicious
Vehicle Tracking
Hit-and-Run Vehicle Tracking
-
Hazardous Vehicle Tracking
1 2
3 4
10. Highlight Scenarios of ET City Brain
Traffic Perception
-
Traffic Light Optimization
Traffic Perception and
Optimization
Proactive Incident Detection and Response
-
Passenger Volume Monitoring and Prediction
-
On-demand Green Wave for Priority Vehicles
Bus Route and Schedule Optimization
Incident Detection and
Response
Public Transportation OptimizationHazardous and Suspicious
Vehicle Tracking
Hit-and-Run Vehicle Tracking
-
Hazardous Vehicle Tracking
1 2
3 4
11. Traffic Perception (1/2)
Time Series at Links Time Series at Check PointsVolume, Speed Volume
Vehicle on RoadEfficiency Index
- Link, Junction, Area
Static Vehicle Volume
(Origin – Destination)
OD Analysis
2. Volume 3. Travel Pattern
Data Sources
Algorithms
Speed
- Highway, Local Routes
Road Surveillance NetworkVehicle Route
Integration
Microwave Sensor Loop Detector
Vehicle Passing
Intersection
1. Efficiency
1
12. Traffic Perception (2/2)
• Taxi / Bus GPS
• Internet Navigator
• Video Recognized Trajectory
Trajectory
• Video Recognized Metrics
• Traffic Sensor Metrics
Volume / Speed
Enhanced Trajectory
Adjusted Traffic Metrics
Traffic Lights Timing
Allocation
Final Traffic Index
Merge
Merge
1
Data Fusion Engine
13. Single Intersection
Optimization
• Queue length as the main
optimization purpose
• Pedestrian time considering
Traffic Light Optimization (1/2)
Subarea
Optimization
• Intersections coordination
• Flow volume control
Protocol Layer
• Timing Configuration
Output
• Configuration
Condition Monitor
Area Optimization
• Subareas coordination
• Area entering control at
the area border
Traffic
Perception
Traffic Light Control
System
• Fixed Time Range
• Adaptive Timing Base
• Emergency Timing
1
14. Holistic Optimization in Areas
Traffic Light Optimization (2/2)
• Optimization plan updated
every 15 mins
• Congestion rate in peak hours
reduced by 9.2%
• Average travel time reduced by
3 mins
Single Intersection
Optimization
Hangzhou City Brain
1
15. Highlight Scenarios of ET City Brain
Traffic Perception
-
Traffic Light Optimization
Traffic Perception and
Optimization
Proactive Incident Detection and Response
-
Passenger Volume Monitoring and Prediction
-
On-demand Green Wave for Priority Vehicles
Bus Route and Schedule Optimization
Incident Detection and
Response
Public Transportation OptimizationHazardous and Suspicious
Vehicle Tracking
Hit-and-Run Vehicle Tracking
-
Hazardous Vehicle Tracking
1 2
3 4
16. Proactive Incident Detection and Response (1/2)
• 3500 traffic cameras –
beyond human capability
to monitor
• Spherical camera auto
patrol: 360°, 24*7 hours
• Supporting recognition of
12 types of events
Proactive Incident
Response
Hangzhou
Downtown
500+ incident reports
daily with 92%
accuracy based on
real-time video
recognition
Average passing time
reduced by 15.3%
2
18. Green Wave for Priority Vehicles (1/2)
GPS
Route Planning
Evaluation
Ambulance
Fire Engine
Vehicle
Dispatch
Incident Detection Signal Light Coordination
Multi
emergency service
collaboration
2
19. Green Wave for Priority Vehicles (2/2)
Travel time of emergency vehicles reduced by 50% in Xiaoshan
• Right before ambulance
arrival Traffic lights are
locked green in a bit
advance to clear the
traffic flow of same
direction
• After ambulance
passing by
Traffic lights resume
normal functions to
minimize the impact on
adjacent roads
2
20. Passenger Volume Monitoring and Prediction (1/2)
Video Stream
Station WiFi
Gate Passing
Passenger Counting
Moving Speed
Crowds Counting Est.
Video Recognition
Crowds Prediction
Data Sources Monitoring Visualization
Real-time Monitoring
Crowdedness Alert
Prediction Alert
2
21. Passenger Volume Monitoring and Prediction (2/2)
Security Monitoring
Crowdedness Alert
Current Passengers Flow Speed Total Passengers of Today
In-station Analysis Prediction in 5 mins
Passengers
Crowdedness
Density
Speed
Passenger Volume of Shanghai Metro Station Line 2
2
22. Highlight Scenarios of ET City Brain
Traffic Perception
-
Traffic Light Optimization
Traffic Perception and
Optimization
Proactive Incident Detection and Response
-
Passenger Volume Monitoring and Prediction
-
On-demand Green Wave for Priority Vehicles
Bus Route and Schedule Optimization
Incident Detection and
Response
Public Transportation OptimizationHazardous and Suspicious
Vehicle Tracking
Hit-and-Run Vehicle Tracking
-
Hazardous Vehicle Tracking
1 2
3 4
23. Tracking Down Hit-and-Run Vehicles
License plate:
浙AD03**
(Input
Image)
South to North(10:21:59)
North to South
(10:33:42)
North to South
(10:34:48)
North to South
(10:37:09)
North to South
(10:38:42)
West to East
(10:44:08)
South to North
(10:46:06)
South to North
(10:47:16)
Accident
Example
1. Accident Detection 2. Hit-and-Run Tracking
3
25. Highlight Scenarios of ET City Brain
Traffic Perception
-
Traffic Light Optimization
Traffic Perception and
Optimization
Proactive Incident Detection and Response
-
Passenger Volume Monitoring and Prediction
-
On-demand Green Wave for Priority Vehicles
Bus Route and Schedule Optimization
Incident Detection and
Response
Public Transportation
Optimization
Hazardous and Suspicious
Vehicle Tracking
Hit-and-Run Vehicle Tracking
-
Hazardous Vehicle Tracking
1 2
3 4
26. Bus Route and Schedule Optimization Architecture
Telecom Data
Card Tap in and out
Bus Capacity
Bus GPS
Map Application
Data Source
Population Density
Bus Commuter OD
Others OD
Share of Travelling
by Bus
Travel Time Comparison
Time of Travel
OD Analysis - Demand Key Measures
Bus Schedule
Optimization
Optimization
Bus Frequency
Demand and Supply
Matching
Bus Transp. Capacity
Bus Capacity - Supply
Taxi Application
Density at Bus Stops
Bus Route
Optimization
Bus Lane
Optimization
4
27. +17% more passengers on trial routes
Optimization of Bus Routing and Scheduling in Suzhou 4
29. Expanding ET City Brain for Other Verticals
Traffic & Transportation
OD Pattern, Crowds Density
Vehicle Profile & GPS
Traffic Perception & Prediction
Command Workflow
Public Transportation
Scheduling & Routing
Tourism
• Scenic Spot
Heat Map
• Tourism Facility
Management
Airport/Subway/
Railway
• Operation
Scheduling
• Crowd
Management
Public Security
• Event Management
• Incident Prevention
City Administration
• Smart Parking
• Green Travelling
The data resource and computing capabilities can be expanded to support other sectors of the city.