TUM Living Lab Connected Mobility
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1 TUM Living Lab Connected Mobility Prof. Dr. Florian Matthes Dr. Holger Wittges Software Engineering for Business Information Systems (sebis) Department of Informatics Technische Universität München, Germany wwwmatthes.in.tum.de
2 Something interesting is happening Tom Goodwin The world s most valuable retailer has no inventory The world s largest taxi company owns no fleet The world s most popular media owner creates no content The world s largest accommodation provider owns no real estate Source: Matthes TUM Living Lab Connected Mobility sebis 2
3 Project: TUM Living Lab Connected Mobility The team behind the academic project! Teilprojekt Titel Antragsteller Stellen PM TP 1.1 Pla(orm und Ökosystem Governance Prof. Ma:hes / Dr. Wi:ges 2 72 TP 2.1 Partner On- und OEoarding Prof. Ma:hes 1 36 TP 2.2 Crowdsourcing und CrowdinnovaJon Prof. Ma:hes 1 36 TP 2.3 Service- Mashups und Prof. Broy / Dr. Prehofer 1 36 Entwicklerunterstützung TP 2.4 GeschäSsmodelle Pla(ormanbieter Prof. Krcmar 1 36 TP 3.1 Accountablity Prof. Pretschner 2 72 TP 3.2 Integriertes Monitoring (Infrastruktur, Prof. Ma:hes 1 36 Dienste, GeschäS) TP 3.3 Visuelller Service- Management Leitstand Prof. Ma:hes 1 36 TP 3.4 Sensing on Demand Prof. O: 1 36 TP 3.5 Proximity Services Prof. O: 1 36 TP 3.6 Technische Pla(orm- Architektur Prof. Broy / Dr. Prehofer 1 36 TP 4.1 Modelle und Werkzeuge für Indoor- Prof. Broy 1 36 Karten TP 4.2 UmweltsensiJves Verkehrsmanagement Prof. Busch 1 36 TP 4.3 Verkehrsmanagement bei Prof. Busch 1 36 Großereignissen TP 4.4 KollaboraJve und soziale Dr. Wörndl 1 36 Mobillitätsdienste TP 5.1 IntegraJonspla(orm für temporale Prof. Kemper 1 36 geographische Daten TP 5.2 GeospaJal Big Data ExploraJon Prof. Kemper 1 36 Summe Wiss. MA / Postdoc Stellen Matthes TUM Living Lab Connected Mobility sebis 3
4 Overview 1. The digital transformation of transportation and mobility 2. Challenges for the automotive industry The innovator s dilemma Lagging digital capabilities (lessons learned by the media industry) Competition by strong customer-focused digital players Fragmented markets 3. Vision: A marketplace and ecosystem of mobility services 4. The TU München Living Lab Connected Mobility (TUM LLCM) Guiding principles Research areas and research projects Matthes TUM Living Lab Connected Mobility sebis 4
5 Cars are becoming a victim of their own success Mexico City Source: Reid Gilman, Matthes TUM Living Lab Connected Mobility sebis 5
6 Cars are becoming a victim of their own success Sao Paulo, Brazil Source: Zé Carlos Barretta, Matthes TUM Living Lab Connected Mobility sebis 6
7 Cars are becoming a victim of their own success Kuala Lumpur, Malaysia Source: Matthes TUM Living Lab Connected Mobility sebis 7
8 Bill Ford A new perspective on vehicles If we do nothing, the sheer number of people and cars in urban areas will mean global gridlock. Now is the time for all of us to be looking at vehicles the same way we look at smart phones, laptops and tablets: as pieces of a much bigger, richer network. Source: Matthes TUM Living Lab Connected Mobility sebis 8
9 Innovative concepts and products are emerging and platforms Apple CarPlay Android Auto (Open Automotive Alliance) Nokia MirrorLink Source: Apple, Android Matthes TUM Living Lab Connected Mobility sebis 9
10 Next-generation urban transport systems Integration of transportation modes, services and technologies Source: Deloitte, Digital- Age Transportation The Future of Urban Mobility Matthes TUM Living Lab Connected Mobility sebis 10
11 Overview 1. The digital transformation of transportation and mobility 2. Challenges for the automotive industry The innovator s dilemma Lagging digital capabilities Competition by strong customer-focused digital players Fragmented markets 3. Vision: A marketplace and ecosystem of mobility services 4. The TU München Living Lab Connected Mobility (TUM LLCM) Guiding principles Research areas and research projects Matthes TUM Living Lab Connected Mobility sebis 11
12 The innovator s dilemma When new technologies cause great firms to fail the logical, competent decisions of management that are critical to the success of their companies are also the reasons why they lose their positions of leadership. Clayton M. Christensen, Harvard Business School Incumbents beat newcomers at sustaining innovations, but lose with disruptive innovations. Source: The Innovator s Dilemma, Matthes TUM Living Lab Connected Mobility sebis 12
13 Accelerating adoption rates for new technologies Tablet, Sensors, Matthes TUM Living Lab Connected Mobility sebis 13
14 Enterprises have to adapt their business capabilities to an increasingly turbulent environment. Humans: Employees, Customers, Suppliers, Partners, Markets, Communities, Accelerating Laws & Regulations Disruptive Changes Changes Enterprise Vision, Goals, Strategy Business Capabilities Procurement Holistic Optimization Logistics Sales Coherent Transformation Information Management Capabilities SCM ERP CRM Resources: Energy, Matter, Information, Technology Matthes TUM Living Lab Connected Mobility sebis 14
15 Competition by strong customer-focused digital players Uber Apple Maps Apple Siri Apple Passbook Apple Wallet Apple Watch Google Maps Google Android Google Analytics Google Now Matthes TUM Living Lab Connected Mobility sebis 15
16 The global markets are changing Matthes TUM Living Lab Connected Mobility sebis 16
17 Overview 1. The digital transformation of transportation and mobility 2. Challenges for the automotive Industry The Innovator s dilemma Lagging digital capabilities Competition by strong customer-focused digital players Fragmented markets 3. Vision: A marketplace and ecosystem of mobility services 4. The TU München Living Lab Connected Mobility (TUM LLCM) Guiding principles Research areas and research projects Matthes TUM Living Lab Connected Mobility sebis 17
18 Marketplaces, platforms enabling ecosystems Marketplaces Amazon Marketplace Ebay Alibaba Uber Apple Store Google Play Microsoft Store Telekom Business Marketplace Platforms Windows, Linux, Android, ios Wordpress, Typo3, Drupal, Sharepoint SAP R/3, Salesforce PaaS: Amazon, Microsoft Azure, Google App Engine, Matthes TUM Living Lab Connected Mobility sebis 18
19 Example: Moovel (Daimler) Acquisitions and partnerships Matthes TUM Living Lab Connected Mobility sebis 19
20 Overview 1. The digital transformation of transportation and mobility 2. Challenges for the automotive Industry The Innovator s dilemma Lagging digital capabilities Competition by strong customer-focused digital players Fragmented markets 3. Vision: A marketplace and ecosystem of mobility services 4. The TU München Living Lab Connected Mobility (TUM LLCM) Guiding principles Research areas and research projects Matthes TUM Living Lab Connected Mobility sebis 20
21 Towards mobility platforms Upcoming research project in Munich (TUM, BMW, SIEMENS) School Kids, Taxi Drivers, Business Travelers, Disabled People, Elderly People, Mobility and Information Demands, Contexts (planning, meeting traveling, accounting) App App App Test Region Munich Connected Mobility Lab & Platform Industry Partners Traffic Flow Detection Floating Car Data Traffic News Public Transport Long- Distance Transport Sensors Car Sharing Bike Sharing Bike Sharing Parking Matthes TUM Living Lab Connected Mobility sebis 21
22 Project organization AP 4: Use Cases AP 5: GeospaJal- Temporal AnalyJcs AP 3: Placorm Architecture and Core Services AP 1: Governance AP 2: Placorm Requirements, Business Models, Value Networks AP 6: Pilot Service Delivery Matthes TUM Living Lab Connected Mobility sebis 22
23 AP 4: Use Cases Plattform und Ökosystem Governance Modelle & Werkzeuge für Indoor-Karten Umwelt-sensitives Verkehrsmanagement Kollaborative und soziale Dienste Kontextsensible Empfehlungssysteme Verkehrsmanagement bei Großereignissen Industrie Industrie Beiträge Beiträge Community Community Industrie Industrie AP 5: GeospaJal- Temporal AnalyJcs Integrationsplattform für temporale geographische Daten Geospatial Big Data Exploration Industrie Industrie Beiträge Beiträge Community Community AP 3: Pla(ormarchitektur und Core Services Accountablity Integriertes Monitoring Infrastruktur, Services & Business Proximity Services Visueller Service-Management Leitstand Sensing on Demand Technische Plattform- Architektur Industrie Industrie AP 1: Governance AP 2: Pla(orm- Anforderungen, GeschäSsmodelle, Wertschöpfungske:en Partner On- und Off- Boarding Service Mashups Entwicklungsunterstützung Crowdsourcing und Crowdinnovation Geschäftsmodelle Plattformanbieter Industrie Industrie AP 6: Pilotbetrieb Industrie AP X Forschungs-Teilprojekt XY im AP X Leistung vorhanden oder AP X Arbeitspaket X erbracht durch paralleles TP XY Industrie IuK Industrieprojekt Community Beiträge der Plattformnutzer bzw. Community (kleine und mittelständische Unternehmen) sebis Matthes TUM Living Lab Connected Mobility 23
24 Two independent project consortia with aligned research questions and prototypes Governance-Struktur (gemäß Kooperationsvertrag) IuK Projekt Industriepartner Forschungsprojekt TUM E1 Separater, lose gekoppelter FuE Entwicklungsprozess E2 Separater lose gekoppelter Forschungsprozess Use Case FuE Projekt Use Case FuE Projekt FuE Industrie Plattform Neue Use Cases delta Austausch und Integration während des Projektes TP X delta delta TP X TP X Neue Use Cases Plattform TP Plattform TP Partner Plattform delta Plattform TP Erweiterungen im Zuge des Projekts Erweiterungen im Zuge des Projektes Bereits entwickelt, basierend auf vorangegangener Forschung Matthes TUM Living Lab Connected Mobility sebis 24
25 TOGAF Architecture Development Method ( ) TUM Living Lab Connected Mobility sebis 25
26 PaaS Example: AWS Services %20Elements%20-%20AWS%20-%20Amazon%20Web%20Services%20architecture%20solution-2.png ( ) TUM Living Lab Connected Mobility sebis 26
27 IBM Cloud Computing Reference Architecture ( ) ( ) TUM Living Lab Connected Mobility sebis 27
28 TUM LLCM Core Cloud Services & Temporal External Partner Temporal Partner*: A Temporal Partner*: B * Temporal Partners may become permanent Partner Partner: Traffic Mgmt Partner: Environmental Routing TUM LLCM Service Cloud Partner: Car Manucturer Cloud Public Mobility Infrastructure Cloud Maps & location based Service Cloud TUM Living Lab Connected Mobility sebis 28
29 Connecting Clouds Different Cloud implementations may be connected on different levels SaaS SaaS PaaS PaaS IaaS IaaS Legend Interface XaaS TUM Living Lab Connected Mobility sebis 29
30 TUM LLCM Vision: Service providers are free to choose their appropriate PaaS/IaaS Provider & Stack Service 1 (SaaS) Microsoft Azure (PaaS) Service 2 (SaaS) AWS (PaaS) Service 3 (SaaS) Google AppEngine (PaaS) Service 4 (SaaS) IBM Bluemix (PaaS) and even more TUM Living Lab Connected Mobility sebis 30
31 TUM LLCM Vision: Integration becomes easier By using central LLCM Services instead of one service Link to several payment solutions TUM LLCM Service Cloud Link to several authorization solutions Link to several analytic solutions Authentication Service(s) Payment Service(s) Analytic Service(s) t.b.d. TUM LLCM defines standards for central services like: (Temporal) Partner A (Temporal) Partner B TUM Living Lab Connected Mobility sebis 31
32 Applied research for the development and delivery of innovative digital mobility solutions Kern- Applikationen Vernetzte Information Intermodales Reisen Optimale Verkehrssteuerung Optimale Ressourcennutzung Effizienz und Sicherheit Plattformen & Daten-Analyse Connected Mobility Lab Time synchron Geo-referenced Security / Privacy by Design Analyse-Framework Integrationsschicht Zugriffsrechte Digitale Karten und Netze, Tarife Historie und Metainforation Steuerung und Empfehlung Marktplatz für Mobilitätsdienste Infrastruktur und Verkehrsdaten Neue Mobilitätsdienste Externe Daten e.g. Twitter,.. Nahverkehrsinformation Verkehrsdetektion Floating Car Data Verkehrsinformation Fernverkehr Car Sharing Car Sharing Bike Sharing Bike Sharing Parken Daten Quellen Matthes TUM Living Lab Connected Mobility sebis 32
33 A human-centered design thinking approach The main questions to be answered How do we provide our solution in a sustainable manner? Which problem of whom do we solve? People Desirability Business Viability Technology Feasibility How can we solve it? We are looking for solutions which are desired, feasible and viable! Matthes AutoUni Recap Florian Matthes 33
34 Thank you for your attention. Questions? Florian Matthes Prof.Dr.rer.nat. Technische Universität München Department of Informatics Chair of Software Engineering for Business Information Systems Boltzmannstraße Garching bei München Tel Fax [email protected] wwwmatthes.in.tum.de
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