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Agenda
Data is the 4th crucial dimension To build live connected city
SAP Smart traffic products
SAP Smart Traffic Innovation Cases
Q&A
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Why Big Data Driven Smart Traffic
Problem Trend Challenge SolutionTraffic problems are the headache of big cities
Traditional IT techs facing performance issues
Big data driven apps to help cities building Smart Traffic
Local Car (RFID)
3B+ records/yr
Metro Passengers
1B+ records/yr
Taxicab/Bus (GPS)
14B+ records/yr
Video Camera
4B+ records/yr
Mobile phone
23B+ records/yr
Bus Passengers
1B+ records/yrAbove is the sample of a China mega city
citizens of 500 global big cities
suffered from traffic problemstraffic sensor generated data
collected to be handled solutions for municipals, enterprises
& citizenstraffic sensor generated data
collected to be handled
Smart Traffic as major growth driver of IT spending
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But traditional IT landscape facing performance, flexibility & extensibility issues …
SAP vision for Smart Traffic
for decision support
to make it sustainable
to encourage innovations
Data is the 4th crucial dimension To build live connected city
Connected Cars
& car services (maintenance, parking…)
travel info services(map, routing, navi…)
Predictive Maintenance(traffic light, camera and
all other sensors…)
SAP thinks
You can only manage
what you could measure!
Data is the 4th crucial dimension
To build live connected city
realtime awareness,
ad-hoc analysis etc.
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Smart Traffic Concept
• Real-time trend Prediction
• What-if analysis, real-time simulation
• Decision support to release traffic jam, increase traffic efficiency and service level
• Reaction on feedbacks & Continuous Improvement
• Travel pattern and urban/enterprise operation efficiency discovery
• Real-time detection and early warning on abnormal state
• Root cause analysis
• Quantitative assessment of traffic status, traffic control performance and service level.
• Instant insight of traffic status and traffic efficiency
QUANTITATIVE
MEASUREMENT
REAL-TIME
ANALYSIS
EFFICIENT
DECISION
SUPPORT
CONTINUOUS
LEARNING
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Smart Traffic Solution Blueprint
Intelligent Traffic Management
TRAFFIC
CONGESTION
MANAGEMENT
Intelligent Traffic Management System - a foundation of smart
traffic innovations
Traffic congestion management supports decision making to
mitigate traffic jam smartly by leveraging value of big data.
City planning excellence supports city government on city level
traffic policy making(issue of new vehicle license plate, vehicle
restriction in peak hour) and infrastructure planning
Public Transit management excellence helps the government to
improve the public transit operation efficiency and service level.
Traffic Emission Management Excellence aims to promote a
more green and efficient traffic model in the city.
Data Excellence ensures the traffic data quality and reduces the
cost of hardware maintenance.
3rd Party System Traffic Data Providers
Ecosystem Innovation Interface
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Solution Release - intelligent traffic management
intelligent traffic management provides instant insight from traffic big data and works as a foundation of smart traffic applications. It’s an on premise solution and be sold standalone. The Intelligent Traffic Management System centralizes traffic data from various sensors, ensures data quality via data auto-correction and cleaning algorithms, and builds traffic data model with best practice to support up-level applications. In addition, it provides powerful toolkits and flexible interface and to enable a easy deployment and value added innovations.
Solution Positioning
Important to City IT
Executives/CIOs
intelligent traffic
management helps to build a
traffic big data platform as a
single source of truth to fully
support smart traffic
innovations with minimized
implementation cost and
lowered entrance barriers
from both technical and
industry professionalism
perspectives
Top reason for selecting Intelligent Traffic
Management
• Single source of truth: Centralize traffic big data for
real-time analysis by using in-memory computing with
algorithm embedded
• Time to value: Shorten the go-live time significantly by
providing industry know-how and best practice in
dealing with traffic big data
• Maximized openness: Enable future smart traffic
innovations both for governmental agency and private
hold companies by offer rich traffic content,
extensibility and flexibility
Key capabilities
• Streaming Traffic Sensor Data handling (floating car data or
fixed detectors)
• Calculate real-time average travel speed and travel time on road
section & traffic corridor level for defined a certain time period
• Interpolation for missing speed data
• Distribute traffic flow & estimate traffic volume on road section
level
• Analytics tool for key users to do ad-hoc traffic data analysis, e.g.
sample data analysis before go live; traffic data(speed,
volume…) mining after go live
• Data interface for 3rd party apps consuming
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Solution Release - traffic congestion management
Solution Positioning
Important to City Traffic Operation
Control Center
traffic congestion management helps
City Traffic Operation Control Center
to evaluate city traffic status
accurately and support the smart
decision making to reduce traffic jams
Important to Traffic Police
traffic congestion management helps
Traffic Police to precisely grasp
instant traffic status and trend, early
discover the traffic abnormal,
evaluation the congestion impact to
make in-time and efficient response
Top reason for selecting traffic congestion
management
• traffic congestion management makes traffic status
evaluation more precisely
• traffic congestion management helps traffic police to
shorten the response time on traffic abnormal and
increase the efficiency for patrol management
• Instead of experience based decision making, traffic
congestion management makes decision making
more scientifically
• With the trustable output, traffic congestion
management can help government to increase citizen
travel efficiency, citizen satisfaction and enterprise
energy efficiency
traffic congestion management
traffic congestion management supports decision making to mitigate traffic jam smartly by leveraging value of big
data. It’s a on premise solution and runs on top of Intelligent Traffic Management. Traffic Congestion Management
evaluates accurately city traffic status by setting up a quantitative measurement system, it provides early discovery on
traffic abnormal to reduce response time, offers congestion analysis for smart decision making to reduce traffic jams
and support public travel guidance service to benefit both citizen & enterprise.
Key capabilities
• Precisely interpreting City Traffic Condition from city-
overall to traffic corridors & micro-level road sections
• Provide simple Indices & short-term prediction for
urban congestions using advanced congestion
analysis model considering not only speed, volume
but also driving behaviors
• Support Ad-hoc road section based congestion
analysis (spatial connectivity, volume distribution
etc.)
• Support traffic-corridor-based congestion
spatiotemporal pattern discovery
• Provide complete statistical insights from history
comparing (normal variant range & extreme values
in past months)
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DEMO
DEMO
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Successful stories
”Traffic performance Index Application and Platform” went live in Nanjing (Tier 2 city in China, with 8M population) in March
2016. The traffic performance index is integrated into mobile app “My Nanjing” which is used by Nanjing citizen in their daily
life.
“Traffic Performance Index Application and Platform” system to monitor real-time traffic status based on massive traffic data from different kind
of traffic sensors, to analyzes the congestion and supports the decision making on congestion control and traffic related policies.
* The photo is taken in Nanjing intelligent operation center. The screen is 22m*5m(width*Height)
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Traffic pulse
Business Challenges Lack of a system to quantatively measure the city traffic situation
Huge manual work to discover travel abnormal or find root cause
Unable to detect congestion pattern and predict travel status in real-time
Lack of scientific evidence for decision making
Solution & Benefits
Quantitative measurement of the congestion and speed to make traffic condition measurable
Real-time awareness and multi-dimensional analysis on traffic status
Traffic status prediction in real-time
Important reference for assessment of traffic operation and traffic policy
Data source
Real-time data from Induction loop and camera of Darmstadt imported into Hana via ESP
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City Travel Pattern Discovery on HANA
Business Challenges
Traditional way to do city travel pattern analysis (Zoning & Origin-Destination analysis) is based on survey data or in recent years small sample of FCD (floating car data)
City traffic data readiness & IT tech-trend aroused therequest of leveraging full sample of real traffic data to dothose analysis
Solution
Full sample of FCD/LPR data based TAZ (Traffic Analysis Zone) delineation & analysis, Scenario based visualization, Travel Time Prediction embedded, critical routes auto-identified
Benefits
Greatly increase productivity of such professional analysis
Fully fit the tech-trend & industry needs in big data era from government perspectives
Demo Video Link
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Integrate
with ERP
Integrate
with BRIM
/Precision
Marketing
etc.Decision Support
Impact Estimation
Real-time Awareness
Public Transit Operation Control Center
Business Challenges
Public transit companies in need of instant insight into their operational data to monitor assets running, get early alert of issues, proactively react on incident and increase customer satisfaction
City administration is also willing to get the real-time awareness from public transit system efficiency and/or public security point of view
Solution
Overview on passenger flows (Current + trend vs. History), early discovery of potential issues (delay), impact estimation of issues based on patterns from history data, integrated with transaction systems for decision support
Benefits
Achieve operation excellence (cost down, revenue up, ensure asset safety)
Improve customer satisfaction
Demo Video Link
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Bus Planning & Operation Excellence
Business Challenges
Municipalities/Public Transit Companies are willing to get the real-time awareness to evaluate the operation efficiency of whole public transit system in real-time manner
They also want to discover problems of bus routes/stops from history operation data to support planning optimization tasks
Solution
KPI dashboard, for instant insight into daily operations, with early warnings like unbalancing resource allocation or bad delays
Analytics tool to support planning and optimization of public transit system (route/stop coverage, bus scheduling optimization etc.)
Benefits
Achieve operation and planning excellence (cost down & accurate outcome by leveraging more big data less surveys, efficiency up with early warning and real-time analysis enablement, etc.)
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Taxi Operation Excellence
Business Challenges
Taxi firms have collected comprehensive data (taxi tracks & operational data), but cannot get more biz value from it
City administration is facing public pressure when doing taxi pricing/driver allowance adjustment, they also need decision-making support from taxi data
Solution
Easy drill-down into multi-dimensional data, pricing/allowance what-if analysis, lost-found passenger service, taxi resource allocation analysis (demand-supply insight)
Benefits
Achieve operation excellence (cost down, revenue up, ensure asset safety & efficiency)
Improve customer satisfaction with better services
Demo Video Link
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GENERATE MAINTENANCE
PLAN BASED ON AUTO-
DISCOVERED FAULT TYPES
PATTERN RECOGNITION FROM
FULL SAMPLE SIZE BASED
DATA MINING TECHNOLOGIES
AUTO-CORRECTION BASED ON
MACHINE-LEARNING MECHANISM
Business Challenges
The accuracy of the LPR(aka ANPR) is reduced due to different reasons (i.e. weather condition, shaded by trees or fault of flash light etc.) which cannotbe resolved from traditional ways(e.g. camera sensor improving or imageprocessing algorithms etc.)
LPR data fault brings big impact on the systems/apps based on it (e.g. fakevehicle plate recognition app generated untrusted list which is not feasible tobe verified by human power)
Video cameras HW maintenance currently is resource consuming which isnot sustainable when scaled up the network coverage
Solution
Auto discover data fault from full sample of LPR data, and provide autocorrection as much as possible
Automatically generate HW maintenance plan for traffic sensors
Benefits
Assure the data quality of LPR data asset
Reduce the cost of HW maintenance
Traffic Data Asset Excellence
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Virtual Taxi Station Mobile App on HANA
Business Challenges
Hard to get a taxi is a headache in many cities, cityadministration would like to ease the pain by providing betterinfo-service to citizens/travellers with no taxi increasing
Solution
Provide location based services with road ratings and virtual taxistation where is easier to get a taxi, based on mining historydata, provide rough estimation of waiting time for virtual taxistations
Benefits
Increase taxi service efficiency
Improve customer satisfaction
Fully compliance with law & regulations
Possible to extend profitable services by integrating with SAPPrecision Marketing solution
Demo Video Link
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