The document discusses future research needs regarding mobility as a service (MaaS) from a multidisciplinary perspective. It notes that while technology is advancing, further research is needed involving designers, social scientists, policymakers and others to ensure user-centricity, ease of use, and consideration of mobility patterns, business models and the travel experience. Cooperation across both private sector players like automakers and public authorities will also be important to develop MaaS as an ecosystem. Blockchain, advanced interfaces, open data sharing and reduced intermediaries could help fuel MaaS adoption but require additional study.
(New) Business models shaping future mobilityJosep Laborda
The "as a Service" paradigm coming to mobility, MaaS, insights on the market and drivers for MaaS and some hints on factors that will drive MaaS, such as cooperation among stakeholders, electrification, autonomous driving and the sharing economy.
Berlin Hackaton MaaS Business Models by Comtrade Digital ServicesJosep Laborda
Full weekend design thinking and developing ideas spent in Berlin with students, entrepreneurs and fellow industry colleagues to figure out how urban mobility will look like in the future. No coding, only hacking our well-stablished cliches and painpoints regarding mobility for the better!
Urbanization is increasing as more people live in cities which consume large amounts of resources. New mobility concepts are needed to address issues like congestion and unused vehicle capacity. Advanced journey planners can help optimize travel by integrating multiple transportation options and using real-time data, predictive algorithms, and user preferences to recommend customized itineraries. This enables a shift to Mobility as a Service (MaaS) through bundled transportation packages tailored to user needs.
Grow smarter project kista watson summit 2018_tommy auoja-1IBM Sverige
Avicii på Tele2 arena, Drake på Globen och AIK - Luleå på Hovet bäddar för en trång lördagseftermiddag i Globenområdet... (SVT Nyheter, 1 mars 2014) ...och problemen kvarstår än idag
Talare: Tommy Auoja, Kundansvarig för Offentlig Sektor, Kontaktperson i EU projektet GrowSmarter, IBM
Presentation från Watson Kista Summit 2018
Short presentation about the role of AMS in solving Amsterdam mobility issues and setting the mobility agenda. Linking science and practise using Amsterdam as a Living Lab.
(New) Business models shaping future mobilityJosep Laborda
The "as a Service" paradigm coming to mobility, MaaS, insights on the market and drivers for MaaS and some hints on factors that will drive MaaS, such as cooperation among stakeholders, electrification, autonomous driving and the sharing economy.
Berlin Hackaton MaaS Business Models by Comtrade Digital ServicesJosep Laborda
Full weekend design thinking and developing ideas spent in Berlin with students, entrepreneurs and fellow industry colleagues to figure out how urban mobility will look like in the future. No coding, only hacking our well-stablished cliches and painpoints regarding mobility for the better!
Urbanization is increasing as more people live in cities which consume large amounts of resources. New mobility concepts are needed to address issues like congestion and unused vehicle capacity. Advanced journey planners can help optimize travel by integrating multiple transportation options and using real-time data, predictive algorithms, and user preferences to recommend customized itineraries. This enables a shift to Mobility as a Service (MaaS) through bundled transportation packages tailored to user needs.
Grow smarter project kista watson summit 2018_tommy auoja-1IBM Sverige
Avicii på Tele2 arena, Drake på Globen och AIK - Luleå på Hovet bäddar för en trång lördagseftermiddag i Globenområdet... (SVT Nyheter, 1 mars 2014) ...och problemen kvarstår än idag
Talare: Tommy Auoja, Kundansvarig för Offentlig Sektor, Kontaktperson i EU projektet GrowSmarter, IBM
Presentation från Watson Kista Summit 2018
Short presentation about the role of AMS in solving Amsterdam mobility issues and setting the mobility agenda. Linking science and practise using Amsterdam as a Living Lab.
Smart Mobility at Eindhoven University of Technology
Eindhoven University of Technology (TU/e) focuses on the societal challenges in Smart Mobility. Good mobility is of great importance for individuals, as well as for businesses and the economy. For this reason around 230 researchers from dozens of TU/e research groups are working in the Smart Mobility areas on clean, efficient and intelligent vehicle technology, and on logistics and traffic systems. The aims include reducing emissions and congestion, and increasing safety. Examples of recent developments at TU/e are intelligent cars that communicate with each other to prevent congestion, lighter batteries for electric cars, cleaner and more economical diesel engines, and optimized planning models for goods transport.
Focus areas:
• Automotive Technology
• Transport and Logistics
• Intelligent Transport Systems
• Mobility and Traffic
• ICT / Embedded Systems
Next Generation Intelligent Transportation: Solutions for Smart CitiesUGPTI
This March 1 seminar presentation provided an overview of key technology trends that are steadily transforming our transportation system. Bridgelall provided a sample of research needs that exposed the complexities and interdependencies between transportation supply, transportation demand, performance measures, and policy making.
Inclusive cities: a crowdsourcing approachElena Simperl
The document discusses using crowdsourcing approaches to create inclusive smart cities. It describes a project called Qrowd that combines crowd and computational intelligence to develop smart city solutions through participatory methods. The project uses a mix of open innovation techniques to co-design pilots with stakeholders. It focuses on using crowdsourcing to improve predictions by incorporating human input through a human-in-the-loop architecture. The goal is to support more inclusive smart cities that are citizen-centric and use data responsibly.
The Qrowd project is a 3-year, 3.9 million euro H2020 innovation action that combines crowd and computational intelligence to develop smart city solutions. It involves 8 partners from 5 European countries and is piloting smart transportation technologies in a medium-sized Italian city. The project aims to make data technology more human-centric through open innovation, crowdsourcing to collect and enhance data, train machine learning models, empower citizens, and innovate responsibly.
Science Media & Data Visualization - XOOMS (English)充彦 保田
XOOMS is a group of content-creators specialized in Science & Technology field. Our mission is to build a bridge between the science & technology field and our society through 'visualization'.
This presentation summarizes what we have done and What we're doing.
This document discusses creating people-first smart cities. It argues that cities should be designed for people and that citizens, government, and technology must be better connected. It provides examples of cities that empower citizens through open data, crowdsourcing solutions, and training public servants in data science. The document advocates avoiding one-size-fits-all technical solutions, making data open and shareable, and developing solutions through public-private partnerships that engage stakeholders. The overarching message is that people must be at the core of any smart city plan.
This document discusses challenges with last-mile logistics in cities and strategies for making operations more sustainable. Key points:
- Last-mile logistics accounts for a large portion of emissions and congestion in cities. Amsterdam data shows 20% of vehicles are for deliveries, but 5% of trucks handle 65% of shipments.
- The goal is to electrify urban logistics by 2025 through smarter planning and operations. This means utilizing smart vehicles, dynamic routing, optimized charging, and purchasing renewable energy.
- Strategies include consolidation hubs, utilizing waterways for transport, electric vehicles, automation, and focus on sectors like construction. Open data, privileges for green vehicles, and collaborative planning
Traffic signals work with artificial intelligence venkat k - mediumusmsystem
In U.S Drivers add 81 extra hours to their arrival each year due to traffic. The other U.S. cities are also worse, these cities are known for difficult driving conditions with hills, bridges, and bikers.
Innovations in London's Transport: Big Data for a Better Customer ServiceGovnet Events
Presentation on Innovations in London's Transport: Big Data for a Better Customer Service by Andrew Hyman, TFL at HPC and Big Data 2016 in Central London
ICARUS @EASN 2019 - Industry 4.0 in Aeronautics Session (September 2019, Athens)ICARUS2020.aero
A glimpse at the ICARUS aviation data and intelligent marketplace provided during the 9th EASN International Conference on Innovation in Aviation & Space, "Industry 4.0 in Aeronautics" Session, on September 3rd, 2019, in Athens
A glimpse at the ICARUS policy perspectives provided during the European Big Data Value Forum 2018, BDVA Workshop 2.3 "Policy issues, opportunities and barriers in big data-driven transport", on November 14th, 2018, in Vienna
Cities are facing increasing mobility problems as populations grow. Public transportation systems generate large amounts of data from various sources, but there is a gap between the available data and the knowledge that can be extracted. The document discusses challenges around data integration, collaboration, and knowledge extraction in order to improve public transportation planning, operations, and passenger information systems through solutions like optimization algorithms, real-time tracking and alerts, and multimodal route planners. Political commitment is needed to fully leverage the available data.
In Finpro's seminar on May 4, Josef Czako spoke about ITS and MaaS opportunities in Germany, Austria and Switzerland. He also gave understanding on what kind of players there are in the field of ITS in respective countries, and what steps one should follow when entering the market.
The implications of a space-enabled mobility revolutiontechUK
Presented by Mark Stead, Director of Sales at the Transport Research Laboratory (TRL) in the techUK Satellite Applications & Services Conference, 2nd Oct. 2015
20171213 Future Internet: The forgotten Enabler for SmartCitiesstefano de panfilis
The document discusses how smart cities require gathering and managing context information from various sources at scale and in real-time. It proposes that FIWARE provides a standard API (NGSI) and platform for centralized context management across domains like transportation, energy and more. This allows cities to access a holistic picture of activity, publish open data, and transform into a platform enabling data-driven innovation and new business models for the benefit of citizens.
2021020 jim spohrer ai for_good_conference future_of_ai v4ISSIP
Jim Spohrer serves on the Board of Directors of ISSIP and previously worked at IBM, where he directed various AI and service science initiatives. He discusses the future of AI, predicting that compute costs will decrease by a factor of 1000 every 20 years, enabling digital workers to become more capable and affordable. He presents a timeline and framework for benchmarking AI progress on open leaderboards to achieve human-level performance in various tasks over time. The best way to predict the future, he says, is to inspire students to build a better future.
The document provides an overview and analysis of leading smart city projects in the United States. It identifies Portland and Seattle as initial cities for a field trip by a Finnish delegation due to their high scores across metrics relevant to smart city development. Relevant smart city cases from Oregon and Washington are highlighted, including systems modeling in Portland, sustainability tools in Tacoma, and the Living Building Challenge framework. The document proposes broadening the field trip to include Anchorage, representing the Cascadia region of North America as a logical place to start Finnish-American smart city networking.
Charles Mok discusses smart cities from a data perspective. He notes that global spending on smart city technology is expected to reach $27.5 billion by 2023. However, he questions what smart city means for engineers and how availability of data can help make better decisions. Mok provides the example of using new data on uneven parking meter usage to address traffic congestion. He emphasizes that without open data, a city cannot be smart and discusses challenges around privacy, security and use of personal data as cities collect more information. Mok argues smart cities require smart governance focused on coordination, releasing real-time data, and ethical policies around data access, privacy and citizens' interests.
Smart Mobility at Eindhoven University of Technology
Eindhoven University of Technology (TU/e) focuses on the societal challenges in Smart Mobility. Good mobility is of great importance for individuals, as well as for businesses and the economy. For this reason around 230 researchers from dozens of TU/e research groups are working in the Smart Mobility areas on clean, efficient and intelligent vehicle technology, and on logistics and traffic systems. The aims include reducing emissions and congestion, and increasing safety. Examples of recent developments at TU/e are intelligent cars that communicate with each other to prevent congestion, lighter batteries for electric cars, cleaner and more economical diesel engines, and optimized planning models for goods transport.
Focus areas:
• Automotive Technology
• Transport and Logistics
• Intelligent Transport Systems
• Mobility and Traffic
• ICT / Embedded Systems
Next Generation Intelligent Transportation: Solutions for Smart CitiesUGPTI
This March 1 seminar presentation provided an overview of key technology trends that are steadily transforming our transportation system. Bridgelall provided a sample of research needs that exposed the complexities and interdependencies between transportation supply, transportation demand, performance measures, and policy making.
Inclusive cities: a crowdsourcing approachElena Simperl
The document discusses using crowdsourcing approaches to create inclusive smart cities. It describes a project called Qrowd that combines crowd and computational intelligence to develop smart city solutions through participatory methods. The project uses a mix of open innovation techniques to co-design pilots with stakeholders. It focuses on using crowdsourcing to improve predictions by incorporating human input through a human-in-the-loop architecture. The goal is to support more inclusive smart cities that are citizen-centric and use data responsibly.
The Qrowd project is a 3-year, 3.9 million euro H2020 innovation action that combines crowd and computational intelligence to develop smart city solutions. It involves 8 partners from 5 European countries and is piloting smart transportation technologies in a medium-sized Italian city. The project aims to make data technology more human-centric through open innovation, crowdsourcing to collect and enhance data, train machine learning models, empower citizens, and innovate responsibly.
Science Media & Data Visualization - XOOMS (English)充彦 保田
XOOMS is a group of content-creators specialized in Science & Technology field. Our mission is to build a bridge between the science & technology field and our society through 'visualization'.
This presentation summarizes what we have done and What we're doing.
This document discusses creating people-first smart cities. It argues that cities should be designed for people and that citizens, government, and technology must be better connected. It provides examples of cities that empower citizens through open data, crowdsourcing solutions, and training public servants in data science. The document advocates avoiding one-size-fits-all technical solutions, making data open and shareable, and developing solutions through public-private partnerships that engage stakeholders. The overarching message is that people must be at the core of any smart city plan.
This document discusses challenges with last-mile logistics in cities and strategies for making operations more sustainable. Key points:
- Last-mile logistics accounts for a large portion of emissions and congestion in cities. Amsterdam data shows 20% of vehicles are for deliveries, but 5% of trucks handle 65% of shipments.
- The goal is to electrify urban logistics by 2025 through smarter planning and operations. This means utilizing smart vehicles, dynamic routing, optimized charging, and purchasing renewable energy.
- Strategies include consolidation hubs, utilizing waterways for transport, electric vehicles, automation, and focus on sectors like construction. Open data, privileges for green vehicles, and collaborative planning
Traffic signals work with artificial intelligence venkat k - mediumusmsystem
In U.S Drivers add 81 extra hours to their arrival each year due to traffic. The other U.S. cities are also worse, these cities are known for difficult driving conditions with hills, bridges, and bikers.
Innovations in London's Transport: Big Data for a Better Customer ServiceGovnet Events
Presentation on Innovations in London's Transport: Big Data for a Better Customer Service by Andrew Hyman, TFL at HPC and Big Data 2016 in Central London
ICARUS @EASN 2019 - Industry 4.0 in Aeronautics Session (September 2019, Athens)ICARUS2020.aero
A glimpse at the ICARUS aviation data and intelligent marketplace provided during the 9th EASN International Conference on Innovation in Aviation & Space, "Industry 4.0 in Aeronautics" Session, on September 3rd, 2019, in Athens
A glimpse at the ICARUS policy perspectives provided during the European Big Data Value Forum 2018, BDVA Workshop 2.3 "Policy issues, opportunities and barriers in big data-driven transport", on November 14th, 2018, in Vienna
Cities are facing increasing mobility problems as populations grow. Public transportation systems generate large amounts of data from various sources, but there is a gap between the available data and the knowledge that can be extracted. The document discusses challenges around data integration, collaboration, and knowledge extraction in order to improve public transportation planning, operations, and passenger information systems through solutions like optimization algorithms, real-time tracking and alerts, and multimodal route planners. Political commitment is needed to fully leverage the available data.
In Finpro's seminar on May 4, Josef Czako spoke about ITS and MaaS opportunities in Germany, Austria and Switzerland. He also gave understanding on what kind of players there are in the field of ITS in respective countries, and what steps one should follow when entering the market.
The implications of a space-enabled mobility revolutiontechUK
Presented by Mark Stead, Director of Sales at the Transport Research Laboratory (TRL) in the techUK Satellite Applications & Services Conference, 2nd Oct. 2015
20171213 Future Internet: The forgotten Enabler for SmartCitiesstefano de panfilis
The document discusses how smart cities require gathering and managing context information from various sources at scale and in real-time. It proposes that FIWARE provides a standard API (NGSI) and platform for centralized context management across domains like transportation, energy and more. This allows cities to access a holistic picture of activity, publish open data, and transform into a platform enabling data-driven innovation and new business models for the benefit of citizens.
2021020 jim spohrer ai for_good_conference future_of_ai v4ISSIP
Jim Spohrer serves on the Board of Directors of ISSIP and previously worked at IBM, where he directed various AI and service science initiatives. He discusses the future of AI, predicting that compute costs will decrease by a factor of 1000 every 20 years, enabling digital workers to become more capable and affordable. He presents a timeline and framework for benchmarking AI progress on open leaderboards to achieve human-level performance in various tasks over time. The best way to predict the future, he says, is to inspire students to build a better future.
The document provides an overview and analysis of leading smart city projects in the United States. It identifies Portland and Seattle as initial cities for a field trip by a Finnish delegation due to their high scores across metrics relevant to smart city development. Relevant smart city cases from Oregon and Washington are highlighted, including systems modeling in Portland, sustainability tools in Tacoma, and the Living Building Challenge framework. The document proposes broadening the field trip to include Anchorage, representing the Cascadia region of North America as a logical place to start Finnish-American smart city networking.
Charles Mok discusses smart cities from a data perspective. He notes that global spending on smart city technology is expected to reach $27.5 billion by 2023. However, he questions what smart city means for engineers and how availability of data can help make better decisions. Mok provides the example of using new data on uneven parking meter usage to address traffic congestion. He emphasizes that without open data, a city cannot be smart and discusses challenges around privacy, security and use of personal data as cities collect more information. Mok argues smart cities require smart governance focused on coordination, releasing real-time data, and ethical policies around data access, privacy and citizens' interests.
Technology Convergence for Smart X ApplicationsBob Marcus
Cartoons showing convergence of emerging technologies into Cyber-Physical-Social grids to provide support for large-scale Smart X applications. This is a very high level overview meant to capture some of the technology interactions for non-technical viewers.
This document discusses analytics for IoT and making sense of data from sensors. It first provides an overview of Innohabit Technologies' vision and products related to contextual intelligence platforms, machine learning analytics, and predictive network health analytics. It then discusses how analytics can help make sense of the endless sea of data from IoT sensors, highlighting key applications of analytics in areas like industrial IoT, smart retail, autonomous vehicles, and more. The benefits of analytics adoption in industrial IoT contexts include optimized asset maintenance, production operations, supply chain management, and more.
Real World Internet, Smart Cities and Linked Data: Mirko Presser (Alexandrea ...FIA2010
The document discusses challenges facing cities like urbanization, aging populations, and climate change, and how a "smart city" approach using real-time data from sensors could help address these issues in a more cost effective way. It describes the "real world internet" concept of connecting physical objects to the digital world using RFID and sensors. Key challenges of this approach are handling large and heterogeneous data streams while ensuring privacy, security, and interoperability. The document advocates using semantic web and linked data techniques to annotate and integrate real-world sensor data.
MAKING SENSE OF IOT DATA W/ BIG DATA + DATA SCIENCE - CHARLES CAIBig Data Week
Charles Cai has more than two decades of experience and track records of global transformational programme deliveries – from vision, evangelism to end-to-end execution in global investment banks, and energy trading companies, where he excels at designing and building innovative, large scale, Big Data systems in high volume low latency trading, global Energy Trading & Risk Management, and advanced temporal and geospatial predictive analytics, as Chief Front Office Technical Architect and Head of Data Science. He’s also a frequent speaker at Google Campus, Big Data Innovation Summit, Cloud World Forum, Data Science London, QCon London and MoD CIO Symposium etc, to promote knowledge and best practice sharing, with audience ranging from developers, data scientists, to CXO level senior executives from both IT and business background. He has in-depth knowledge and experience Scala, Python, C# / F#, C++, Node.js, Java, R, Haskell programming languages in Mobile, Desktop, Hadoop/Spark, Cloud IoT/MCU and BlockChain etc, and TOGAF9, EMC-DS, AWS CNE4 etc. certifications.
The development of Smart Cities is becoming increasingly important in the creation of intelligent ecosystems. The primary objective of Smart Cities is to enhance the quality of life of citizens while also engaging companies to work towards achieving mission zero. However, the question arises as to how this can be achieved. How can technology, urban needs, and mission zero objectives be effectively interconnected in a city setting?
Learn more about Smart City ecosystems powered by FIWARE, Smart City solutions and technologies to improve citizens life and at the end fulfilling mission zero together by the power of technology.
Be part of a discussion for future cities powered by FIWARE.
This document provides an overview of an EU-Japan smart city project and a city platform as a service solution. The project aims to develop an open social city platform, deploy the platform as a service, empower citizens with their data, validate the platform with use cases, and create blueprints for other cities. The document discusses what makes a smart city, the project partners and objectives, the platform architecture with different layers, and benefits for cities. It also examines success factors like stakeholder involvement, openness and data sharing, and upscaling potential. Example use cases presented are smart transportation, emergency care, water management, events, and government. The last section describes a Sapporo use case focusing on improving services for tourists using open data
This document discusses personal and community context discovery as a service. It proposes using sensors from mobile phones, 3D cameras, and web data to gather context about individuals and communities in an unobtrusive way. These include location data, proximity, activity, identity and interaction level. A multimodal fusion approach and generic IoT platform are suggested to implement and provide context discovery as a service to application developers. Example use cases include organizational behavior analysis, customer behavior studies, and crowd analysis.
UPDATED DECK HERE: https://www.slideshare.net/secret/FhlrPEf3xUCVUd
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Presentation at the Alumni event at EDHEC Business School in Nice, France. Speaker notes and commentary have been added to the slides.
Joint Presentation Panasonic and IBM at TU-Automotive Japan 2016 ( http://www.tu-auto.com/japan/ ):
- Understand how machine learning across multiple industry domains creates a new mobility experience
- Explore a coherent framework combining embedded, edge and cloud-computing elements to better predict vehicle and driver needs
Digitalization in practice (Lecture slides)petermoricz
Lecture of the CORVINUS Master in Management and Leadership program. The presentation defines the concept of digital transformation, and lists its key technologies. The five pillars of digitalization are discussed with examples. It focuses on the digitalization characteristics of the business services sector and presents the results of a survey in Hungary.
This document discusses using artificial intelligence to model microscopic traffic flow. It first provides background on artificial intelligence and its use in transportation. It then discusses advantages and disadvantages of AI in transportation. The aim is to identify AI strategies that can model microscopic traffic, with objectives of using traffic data as inputs to provide meaningful outputs. Neural networks are discussed as one approach, which can learn patterns in traffic data to predict vehicle behavior.
Yuri van Geest is the author of Exponential Organizations and initiator and founding CEO of Singularity University NL. The document discusses exponential technologies like AI, robotics, biotech, computing and their ability to accelerate capabilities while reducing costs. It defines exponential organizations as those whose impact is disproportionately large, at least 10x, compared to peers through use of new organizational techniques leveraging exponential technologies. Examples provided include GitHub, Xiaomi, and Haier, organized around principles like autonomy, community engagement, and experimentation. Strategies are discussed for how corporations can create their own exponential organizations.
Using gamification to generate citizen input for public transport planningMarius Rohde Johannessen
Presentation at the 2016 ePart conference in Guimaraes, Portugal. Research in progress presenting a case study of a smart cities app, and discussing how the data can be used for increased citizen participation.
A global open source platform enabling any organization (public or private) to upload, update, validate the quality, store and share open transport data
Similar to MaaS and future research needs: a further perspective (20)
Future mobility: potential impacts on service stationsJosep Laborda
1. The document discusses how future mobility trends like CAVs, shared mobility, and electric vehicles will impact service stations.
2. Service stations will need to expand their offerings beyond oil to remain relevant as mobility shifts to a digital, on-demand model.
3. Stations may transform into "mobility hubs" providing charging, hydrogen, retail, and enabling multimodal transportation options like bikes, scooters and public transit.
4. Emerging technologies like IoT, big data analytics, and AI will allow stations to better understand customer needs and integrate as critical pieces of future intelligent transportation ecosystems.
El rol del cotxe davant el nou paradigma "Mobility as a Service"Josep Laborda
Del model de cotxe en propietat a un model d'accés compartit a la mobilitat, a la demanda i a través del mòbil, en cotxe o utilitzant altres modalitats de transport públic o personal. Com el nou ecosistema de la mobilitat està generant nous reptes (tècnics, legals, organitzatius) i oportunitats, i com està canviant la perspectiva de negoci dels players tradicionals, com els fabricants de cotxes, davant la irrupció d'empreses tecnològiques i start-ups. El nou paradigma de la mobilitat del futur, batejat com MaaS (Mobility as a Service) promou un accés uniformitzat, a través d'un únic interface, a múltiples serveis de mobilitat, a la demanda i adaptats a les necessitats de l'usuari.
20161223_Mobility as a Service - postgrau smart mobility UPC_PDFJosep Laborda
Este documento discute la movilidad como un servicio (MaaS). Explica que MaaS integra varios servicios de transporte, como transporte público, taxis, carsharing y bicicletas, en un solo paquete accesible a través de una aplicación móvil. También describe los componentes clave del ecosistema MaaS, incluidos los proveedores de servicios, los operadores MaaS, los datos de movilidad y los algoritmos. Además, analiza algunas implementaciones iniciales de MaaS en ciudades como Helsinki, Birmingham
20150514_El coche conectado hacia un nuevo paradigma de la movilidad_JLabordaJosep Laborda
Este documento resume los principales puntos sobre el ecosistema del coche conectado. Explica que los fabricantes de coches, operadores móviles, proveedores de servicios y reguladores están trabajando juntos para desarrollar nuevas tecnologías y servicios conectados. También explora los beneficios potenciales de la conducción automatizada y cooperativa como mayor comodidad, seguridad y eficiencia.
Understanding Catalytic Converter Theft:
What is a Catalytic Converter?: Learn about the function of catalytic converters in vehicles and why they are targeted by thieves.
Why are They Stolen?: Discover the valuable metals inside catalytic converters (such as platinum, palladium, and rhodium) that make them attractive to criminals.
Steps to Prevent Catalytic Converter Theft:
Parking Strategies: Tips on where and how to park your vehicle to reduce the risk of theft, such as parking in well-lit areas or secure garages.
Protective Devices: Overview of various anti-theft devices available, including catalytic converter locks, shields, and alarms.
Etching and Marking: The benefits of etching your vehicle’s VIN on the catalytic converter or using a catalytic converter marking kit to make it traceable and less appealing to thieves.
Surveillance and Monitoring: Recommendations for using security cameras and motion-sensor lights to deter thieves.
Statistics and Insights:
Theft Rates by Borough: Analysis of data to determine which borough in NYC experiences the highest rate of catalytic converter thefts.
Recent Trends: Current trends and patterns in catalytic converter thefts to help you stay aware of emerging hotspots and tactics used by thieves.
Benefits of This Presentation:
Awareness: Increase your awareness about catalytic converter theft and its impact on vehicle owners.
Practical Tips: Gain actionable insights and tips to effectively prevent catalytic converter theft.
Local Insights: Understand the specific risks in different NYC boroughs, helping you take targeted preventive measures.
This presentation aims to equip you with the knowledge and tools needed to protect your vehicle from catalytic converter theft, ensuring you are prepared and proactive in safeguarding your property.
What Could Be Behind Your Mercedes Sprinter's Power Loss on Uphill RoadsSprinter Gurus
Unlock the secrets behind your Mercedes Sprinter's uphill power loss with our comprehensive presentation. From fuel filter blockages to turbocharger troubles, we uncover the culprits and empower you to reclaim your vehicle's peak performance. Conquer every ascent with confidence and ensure a thrilling journey every time.
Ever been troubled by the blinking sign and didn’t know what to do?
Here’s a handy guide to dashboard symbols so that you’ll never be confused again!
Save them for later and save the trouble!
Expanding Access to Affordable At-Home EV Charging by Vanessa WarheitForth
Vanessa Warheit, Co-Founder of EV Charging for All, gave this presentation at the Forth Addressing The Challenges of Charging at Multi-Family Housing webinar on June 11, 2024.
EV Charging at MFH Properties by Whitaker JamiesonForth
Whitaker Jamieson, Senior Specialist at Forth, gave this presentation at the Forth Addressing The Challenges of Charging at Multi-Family Housing webinar on June 11, 2024.
Implementing ELDs or Electronic Logging Devices is slowly but surely becoming the norm in fleet management. Why? Well, integrating ELDs and associated connected vehicle solutions like fleet tracking devices lets businesses and their in-house fleet managers reap several benefits. Check out the post below to learn more.
Welcome to ASP Cranes, your trusted partner for crane solutions in Raipur, Chhattisgarh! With years of experience and a commitment to excellence, we offer a comprehensive range of crane services tailored to meet your lifting and material handling needs.
At ASP Cranes, we understand the importance of reliable and efficient crane operations in various industries, from construction and manufacturing to logistics and infrastructure development. That's why we strive to deliver top-notch solutions that enhance productivity, safety, and cost-effectiveness for our clients.
Our services include:
Crane Rental: Whether you need a crawler crane for heavy lifting or a hydraulic crane for versatile operations, we have a diverse fleet of well-maintained cranes available for rent. Our rental options are flexible and can be customized to suit your project requirements.
Crane Sales: Looking to invest in a crane for your business? We offer a wide selection of new and used cranes from leading manufacturers, ensuring you find the perfect equipment to match your needs and budget.
Crane Maintenance and Repair: To ensure optimal performance and safety, regular maintenance and timely repairs are essential for cranes. Our team of skilled technicians provides comprehensive maintenance and repair services to keep your equipment running smoothly and minimize downtime.
Crane Operator Training: Proper training is crucial for safe and efficient crane operation. We offer specialized training programs conducted by certified instructors to equip operators with the skills and knowledge they need to handle cranes effectively.
Custom Solutions: We understand that every project is unique, which is why we offer custom crane solutions tailored to your specific requirements. Whether you need modifications, attachments, or specialized equipment, we can design and implement solutions that meet your needs.
At ASP Cranes, customer satisfaction is our top priority. We are dedicated to delivering reliable, cost-effective, and innovative crane solutions that exceed expectations. Contact us today to learn more about our services and how we can support your project in Raipur, Chhattisgarh, and beyond. Let ASP Cranes be your trusted partner for all your crane needs!
MaaS and future research needs: a further perspective
1. MaaS and future research needs:
a further perspective
JOSEP LABORDA - Intelligent Mobility Project Manager, RACC
∆
“MaaS and DaaS: Automotive Development Game Changers?”
EARPA Autumn Meetings 2017, Brussels, 5 October 2017
ImageSource:DeloitteReview
2. CAV, shared & Electric
unmanned, robotics-enabled, connected apps
(fast, wireless) EV charging, hydrogen, etc.
digitally-savvy customer
IoT
Big Data analytics blockchain
AI, machine learning
10. an ecosystem thing
big players
Public Transport
Operators
Public
Authorities
telcos
Financial
Entities
Service Providers,
start-ups, etc.
Universities,
Research Centres
17. • players authentication, trusted & secure transactions
blockchain, cryptocurrencies, +...
• UX design & experience, ease of use, user acceptance
advanced HMI design, AI, machine learning
• big open data from all connected players
to fuel MaaS
• less is more
MaaS operator, automation, etc.
FURTHER RESEARCH NEEDS
The changing nature of mobility
https://dupress.deloitte.com/dup-us-en/deloitte-review/issue-15/automotive-trends-gen-y.html
MaaS is a good story, a very good one, but… I bet a great majority of the audience in this room today are engineers, or technologists, which is normal as this is an EARPA-organized event, but participation, debate, and cooperation with all the stakeholders in the ecosystem is absolutely needed.
MaaS is not only a technology trend or hype, it is a whole new mobility paradigm that needs to be tackled from very different angles, converging to an agreed vision and the fulfilment of common goals and objectives, while enabling all stakeholders to be profitable (especially MaaS operators, MSP, tech firms), solving societal challenges such as congestion, pollution, competitiveness, etc.
MULTIDISCIPLINARY RESEARCH NEEDED MaaS is a great PARADIGM SHIFT (from ease of use of a privately owned car – no need to explain HOW – to service promise)
ALEXA in car, HMI automation
Google Transit Feed Specification
Forget owning the customer in the sharing age
http://www.travolution.com/articles/104387/travolution-summit-forget-owning-the-customer-in-the-sharing-age-says-travelport-boss
Public Authorities implication is KEY!!! Alliances of stakeholders are OEMs to startups – technology firms, etc. but not true cooperation with PA!!!
https://maas-alliance.eu/all-partners/
Public Authorities implication is KEY!!! Alliances of stakeholders are OEMs to startups – technology firms, etc. but not true cooperation with PA!!! ENDOGAMIC
Automakers in general were expecting governments, utilities, oil companies... (anyone else, basically) to build the infrastructure for EV - just as oil companies built the infrastructure for ICE vehicles 100+ years ago. Elon Musk was the first to get sick of waiting - hence, the Supercharger network. It's a missed opportunity that has cost us many years of "waiting time". Rather than seeing the revenue opportunity in charging (wider footprint, greater part of the value chain), OEMs initially saw only cost. This is changing now, with investments in charging.
Data in SILOS, different approaches to sharing data tu fuel innovation… One from BMW, IM Data Hub data comes from…? Open to?
https://ts.catapult.org.uk/innovation-centre/imdh/
HEALTHY INDUSTRY
http://www.marketwatch.com/story/ford-to-develop-driverless-cars-for-lyft-2017-09-27
Ford to develop driverless cars for Lyft
Ford Motor Co. and Lyft Inc. said Wednesday they would develop self-driving vehicles for the ride-hailing service, adding to a growing number of alliances between auto makers and tech companies jockeying for control of the road.
The two companies plan to design software that lets Ford F, +0.08% vehicles communicate with Lyft’s app-based services. Lyft, based in San Francisco, is playing catch-up in some respects to its larger crosstown rival, Uber Technologies Inc., which has been testing robot cars in Pittsburgh, Tempe, Ariz., and parts of California beginning a year ago.
Lyft has struck a series of partnerships with companies developing the technology, including Waymo, the self-driving car unit of Google parent Alphabet Inc.GOOG, +0.53% GOOGL, +0.51% , Tata Motors Ltd.’s TTM, -0.49% Jaguar Land Rover and startups Drive.ai and NuTonomy Inc. And it is forming its own autonomous-car development division, which will be staffed by hundreds of engineers and technicians at a new office in Palo Alto, Calif. Lyft plans to develop its own software and hardware to enable vehicles to maneuver without a human at the wheel.
Lyft also has a partnership with Ford rival General Motors Co. GM, +0.00% , which invested about $500 million in the company and added a board member. Last year, GM said it planned to work with Lyft to put self-driving taxis on the road sometime this year using technology acquired from startup Cruise Automation in a $1 billion deal.
CHARGING STATION EXAMPLE (in a Service Station): https://www.elect-expo.com/en/electrifying-insights/blockchain-solution-for-the-decentralised-mobility-market/
Also (story): https://hackernoon.com/mobility-as-a-service-on-the-blockchain-fd5124088875
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https://blog.energybrainpool.com/en/e-mobility-and-the-blockchain-the-car-ewallet/
E-Mobility and the Blockchain: The „Car eWallet“
Innogy Innovation Hub, the bank UBS and the automotive supplier ZF want to simplify the payment procedures for electric cars at charging stations with their new development: The payment system “Car eWallet”. The three companies use blockchain technology for this new system.
The first prototype of the automatic charging and payment system Blockcharge – developed in a cooperation of Innogy and the IT-company Slock.it – just passed its Beta phase in October 2016. The new “Car eWallet” aims to further simplify payment processes for e-mobility users and also to provide further functionalities. Especially different payment systems for e-mobility often render charging and payment for electric vehicles unnecessarily complicated for users. Thus, the automotive supplier ZF Friedrichshafen, the Swiss bank giant UBS and the Innovation Hub of the German utility Innogy cooperate during the development of the new payment system “Car eWallet”. Experimentation is expected to start this year (Source: Energate).
Next to a mere payment functionality for e charging electric cars, this „automobile wallet” will have additional functions and utility for its users. It should be able to manage payments for toll stations, parking lots, car-sharing and parcel delivery. Blockchain technology, basically a decentralized and digital ledger, guarantees the automatization of processes and the high degree of functionality. No elaborate registration process will be necessary and also micro quantities (for example during inductive charging) can thus be implemented. Figure 1 depicts different utilization possibilities of the “Car eWallet” (Source: ZF).
The „Car eWallet“ is also equipped for the future: Bidirectional payment flows can also be processed. Basically, this allows for the receipt of payments or permission for the access to the vehicle for third parties. In addition, electric vehicles can be integrated into an intelligent energy supply system. If the user agrees, charging processes can be automated according to the current load in the power grid, the share of renewable energy or prices signals. Feeding electricity from the electric car back into the grid is also possible and allows the user to generate additional earnings.
BUT MORE MOBILITY OPTIONS!
All these benefits are enabled by two emerging technologies that are rapidly becoming mainstream.
The first is the self-driving vehicle (NO DRIVER, Uber and the likes want this), guided to the quickest route by real-time traffic updates and to the next customer by real-time passenger requests.
The second is blockchain-enabled, secure peer-to-peer (P2P) transactions that eliminate or minimize the need for centralized authorities such as banks or ride-sharing services such as Uber and Lyft (NO UBER, NO BANKS). The security of blockchain will allow owners to directly rent out their vehicles under terms and conditions they set themselves.
Autonomous vehicles eliminate the cost of human drivers, while blockchain eliminates the middleman that matches customers with rides, charges a transaction fee and sets terms and conditions.
- AirBnB of Cars, Netflix of Transportation, Spotify of Travel...
- Multidisciplinary research, PPP, MaaS Alliance, political buy-in needed
Customization of the travel experience
CAV (IoT), innovation, lean thinking & PPP
public transit from B2C to B2B model
less is more also for the MaaS operator simplifying the access to mobility!