TheFutureMobility.Network and Interreg Automated Transport - Automated Public Transport: perspectives for intermodal mobility in Smart City's

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1 Disruptive Solution? Disruptive Innovation: Griswold Number of Nonfarm Draft Animals and Automobiles in US 1902 Motor Vehicle Manual Mechanical Internal combustion Motor Vehicle Connected Automated Electric TheFutureMobility.Network and Interreg Automated Transport - Automated Public Transport: perspectives for intermodal mobility in Smart City's Witte-Metropole Ruhr Metropole Ruhr Joop Veenis The Future Mobility Network Ministry of Infrastructure Environment and Public Works MRDH/RADD Interreg IAT SOURCE: Nakicenovic (1986)

2 1. introduction Joop Veenis The Future Mobility Network Contributes to society by stimulating and developing project to innovate mobility. People/packages, goods. Public and Private Transport

3 Topics 1. The future, you can not predict it, but you can shape it! 2. Knowledge and Cooperation 3. Project-examples: MRDH Last Mile solutions Interreg 4. Conclusion/Discussion Presentatie-onderwerp

4 Future, Of driving Of city s Presentatie-onderwerp

5 The Future of Mobility is 1. Connected and Automated: 2. Shared maart Presentatie-onderwerp

6 The Future of Mobility is!digital! 1. Connected and Automated: 2. Shared maart Presentatie-onderwerp

7 Possible scenario s future mobility Onzekerheden en scenario s Multimodal & shared automation delen hoog Mobility as a service: any time, any place niveau 3,4 niveau 5 automatisering Letting go on highways laag Fully automated private luxury Kennisinstituut voor Mobiliteitsbeleid Toekomstbeelden automatische voertuigen 8 maart 2016

8 The Mobility as a Service scenario: Mobility as a service: Any time, Any place Deur-tot-deur reizen via automatische taxibots De deeleconomie floreert: bezit en ritten Traditioneel OV grotendeels verdwenen Voertuigen parkeren zelf buiten stad Fietsen en lopen populair Prijs/km binnen stad neemt toe Kennisinstituut voor Mobiliteitsbeleid Toekomstbeelden automatische voertuigen 8 maart 2016

9 Impact CAV on Network, Space, Society

10 Benefits US [World Economic Forum] Why does the World Economic Forum care about self-driving vehicles? Self-driving vehicles (SDVs) could bring tremendous societal benefits effects in the US estimated at $1.3T (8% of GDP) 30,000+ lives saved by avoided accidents 5.5B less hours spent in congestion Annual benefits for fully autonomous vehicles in the US alone Full automation High automation Autonomy, self-driving Connectivity Unconditional, full-time performance of the driving task under all conditions that a human driver can manage Part-time situation- or geography-dependent performance of the driving task of the automated driving system Common vernacular terms for both full automation and high automation Here: Building block of incumbent approach to reap safety benefits along the way 75B hours of regained commuting time 80% lane capacity improvement 40% fuel economy improvement Source: SAE J3016 (for definitions), NHTSA, US Department of Transport, American Scientist, US Census Bureau, Morgan Stanley, Economist, World Economic Forum, BCG analysis 2

11 Threats, security/privacy, standards/costs, User trust/acceptance, AI. Agenda - Integration of Self Driving Vehicles into the Traffic Management and IoT Ecosystems Proposed System Model Understanding the Threats Why will SDVs be Vulnerable? Key Challenges of Securing SDVs in the Age of the IoT A Security Engineering Approach Recommended Security Controls Who can help? Communication should collaborate with other sensors (cameras, radars etc.) in building the real-time map of the road 9 3 Leidos Proprietary Information

12 car performance (US) They stand still, waste energie, claim public urban space, kill people, due to human error 92% 86% 50% %

13 Mooi filmpje The Future City

14 Knowledge and Cooperation More info: Edwin Nas Presentatie-onderwerp

15 EU Policy Declaration 2016 Joint Agenda W ork tow ards a coherent European fram ew ork by for the deployment of interoperable connected and automated driving; Adopt a learning by doing approach, including cross- border t est ing and cooperation, sharing and expanding knowledge on connected and automated driving and to develop practical guidelines to ensure interoperability of systems and services; Support furt her innovat ion in connected and automated vehicle technologies to strengthen the global market position of European industry; Dat a sharing is important for purposes of learning and allowing third parties to deliver services w hile ensuring privacy, which requires us to make this a priority from the start Presentatie-onderwerp

16 Knowledge Agenda Automated Driving The Learning by Doing approach creates knowledge, fuels change and integrates. People share and work (together) in networks and projects/pilots/fieldlabs/researchlabs. Exploring new services, businessmodels, technology, legal frameworks, human factors. Use digital tools to share knowledge: Knowledgeagenda.connekt.nl, Dropbox. Monitor progress with anual knowledge reports

17 1 Zoeken naar strepen op het asfalt Nauwkeurige kaarten wijzen zelfrijdende auto s de weg ZOEKEN NAAR STREPEN OP HET ASFALT INHOUD januari 2016

18 We zijn allemaal nog aan het leren hoe de toekomst er uit komt te zien We do not know everything We have open questions Deployment opportunity's in Public Transport Volledig zelfrijdende voertuigen Vervanging van traditionele privé-auto door zelfrijdende? Groei of krimp autodelen? Meer ritten verzorgd door elke auto? Lagere waardering van tijd? Minder privaat autobezit? Grotere behoefte om per auto te reizen? Minder autoritten? Meer of minder congestie? Grotere of kleineer parkeervraag? Wordt het een vorm van openbaar vervoer? Hoe wordt dit dan georganiseerd? Grotere vraag openbaar vervoerdiensten?

19 OV als broedplek voor vernieuwing

20 Project Examples 1. Metropole Region Rotterdam The Hague 2. Interreg (IAT) Presentatie-onderwerp

21 Metropoolregio Rotterdam Den Haag Samenwerken & leren Shared services Validatie locaties Systeemintegratie OV Nieuwe Economie

22 Metropoolregio Rotterdam Den Haag

23 Metropoolregio Rotterdam Den Haag

24 Metropoolregio Rotterdam Den Haag

25 Metropoolregio Rotterdam Den Haag

26 Metropoolregio Rotterdam Den Haag Laatste 50 jaar enorme urbanisatie & industrialisatie Volgende 50 jaar Next Economy Energie verdeling + digitalisering

27 Shuttle BioSciencePark University Leiden Binckhorstshuttle Den Haag Shuttle Plaspoelpolder Rijswijk ResearchLab & Campusshuttle University Delft Harbour & Metroshuttles Schiedam Airportshuttle RTH Airport Parkshuttle Capelle a/d IJssel Metropoolregio Rotterdam Den Haag Automatisch Vervoer Last Mile als RNE kans Hoogwaardige Werklocaties & campussen Met Last Mile opgave

28 Metropoolregio Rotterdam Den Haag Juli 2016 : Investeringspakket AVLM

29 Cooperation Model for Mobility Project in MRDH Initiatiefnemer (wegbeheerder) Techniekleverancier Financier en/of subsidiegever Fieldlab-samenwerking Ontheffingsverlener en verzekeraar Onderzoek & onderwijs Concessieverlener Vervoerder 29

30 Researchlab automated driving Delft 30

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32 Project content Vehicle: Easymile EZ10 Additions: D-GPS/RTK + INS + Odometry 6 multilayer lasers for localization and objects 9 camera s + 9 radars + 9 ultrasonics 5 computers (3x Drive PX) Control panel Interior camera, Interior + exterior intercom 4G + 3G + Wifi-P communication Ticker tapes front + rear 12KWH batteries Heater, belts, head rests, roller chair fixation, wiper, 3rd brake light, int. covers, steward seat, horn Supervisor system User App Infotainment

33 Netherlands and Germany work together on Interregional Automated Transport (IAT) IAT project was the first in the world to drive with an official permit on public roads (RDW, TUV, BBH, Spring, VPS, RES, Hannover).

34 Cooperation in IAT (NL+DE) Öffentliche Hand NRW (DE) Provinzen Gelderland, Limburg Brabant Overijssel. (NL) Ministerien für Infrastruktur (NL+ DE) RDW, RWS, Kadaster Wissensaustausch KIAM (DE) VDV Academy (DE) VPS Knowledge Mng. (NL) Connekt C-ITS network (NL) DITCM (NL) EVO Fahrzeugentwicklung EL-KW (NL) TU Delft (NL) Robot Care Systems (NL) FromAtoB (NL) Ford (DE), DAF (NL) INFORMATION SHARING Mobilität ASEAG (DE) Deutsche Bahn (DE) Airport Weeze Greenport GmbH Versicherung & Sicherheit TÜV Rheinland (DE), RDW (NL) HAN (NL) Versicherungsunernehmen (NL, DE) Aon, Allianz DLR (DE) Living Labs Grenzshuttle Aachen-Vaals (DE-NL), MAAS Airportshuttle Weeze (DE) Autonomes Fahren (Personen und Güter) Food Valley

35 Conclusions Presentatie-onderwerp

36 2. Prepare your city/area..

37 1. Embrace early Deployment opportunity's Don t be suprised later, get involved, learn now and prepare in time. Seek for early Deployment: 1. Public Transport Shuttles (Station to Campus, Bussines-area, Hospital, Airport). 2. Truck Platoon uses cases 3. Robot taxi, ride and vehicle sharing Learn or adjust projects along the way, stick with a shared vision. Focus on humans, trust, safety and quality of live. Yes! ride a bike Work together: Knowledge Institutes, Companies and Governments.

38 2. Prepare your city/area Visit city s with programs EU: Rotterdam, Aachen. US: SF, LA, Boston. Asia: Tokyo SIP adus. Coöperate and Learn. Forget old problems/solutions, prepare and solve the new. Think Global, Act Local.

39 Questions?

40 Questions?