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

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

  • 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

  • 2016 SAP SE or an SAP affiliate company. All rights reserved. 4Internal

    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

  • 2016 SAP SE or an SAP affiliate company. All rights reserved. 5Internal

    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.

  • 2016 SAP SE or an SAP affiliate company. All rights reserved. 6Internal

    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

  • 2016 SAP SE or an SAP affiliate company. All rights reserved. 8Internal

    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

  • 2016 SAP SE or an SAP affiliate company. All rights reserved. 9Internal

    Solution Release - intelligent traffic management

    intelligent traffic management provides instant insight from traffic big data and works as a foundation of smart traffic applications. Its 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

  • 2016 SAP SE or an SAP affiliate company. All rights reserved. 10Internal

    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. Its 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)

  • 2016 SAP SE or an SAP affiliate company. All rights reserved. 11Internal

    DEMO

    DEMO

    2016CDPVideo.mp4

  • 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

  • 2016 SAP SE or an SAP affiliate company. All rights reserved. 14Internal

    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

    https://jam4.sapjam.com/profile/13AyB5vEbD5qkBD3sZJQ08/documents/xBOrUKPaqQiDazdWhNWTAH

  • 2016 SAP SE or an SAP affiliate company. All rights reserved. 16Internal

    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

    https://jam4.sapjam.com/profile/13AyB5vEbD5qkBD3sZJQ08/documents/PW46a62sVAwiA5K1KzF6Zw

  • 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

    taxi-operation-cockpit.mp4

  • 2016 SAP SE or an SAP affiliate company. All rights reserved. 19Internal

    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

    https://jam4.sapjam.com/profile/13AyB5vEbD5qkBD3sZJQ08/documents/vnXlBK9eqvbrrxSKaB1zxb

  • Q&A

  • Thank youContact information:

    Bin Dong

    Business owner

    Shanghai

    +86 21 6108 7122