Download - Big Data Driven Traffic Awareness & Insight - mig … 01, 2016 · Bin Dong, SAP July 26, 2016 Big Data Driven Traffic Awareness & Insight

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Bin Dong, SAP

July 26, 2016

Big Data Driven Traffic Awareness & Insight

© 2016 SAP SE or an SAP affiliate company. All rights reserved. 2Internal

Agenda

Data is the 4th crucial dimension To build live connected city

SAP Smart traffic products

SAP Smart Traffic Innovation Cases

Q&A

Data is the 4th crucial dimension

To build live connected city

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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

SAP Smart traffic products

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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

© 2016 SAP SE or an SAP affiliate company. All rights reserved. 12Internal

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)

SAP Smart Traffic Innovation

Cases

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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

© 2016 SAP SE or an SAP affiliate company. All rights reserved. 15Internal

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

© 2016 SAP SE or an SAP affiliate company. All rights reserved. 17Internal

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.)

© 2016 SAP SE or an SAP affiliate company. All rights reserved. 18Internal

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

© 2016 SAP SE or an SAP affiliate company. All rights reserved. 20Internal

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

Q&A

Thank youContact information:

Bin Dong

Business owner

Shanghai

+86 21 6108 7122