2015 D-STOP Symposium session by CTR's Mike Walton. Watch the presentation at http://youtu.be/yd0DJWndSmo?list=PLWQCGQLl10mwkino_uNmTO4JXOg5oCWtU
Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
Information on Florida Dept of Transportation's plan for implementing infrastructure and support for connected and automated vehicles on Florida's roadways. Presented by Sec. Paul Steinman, FDOT
Autonomous vehicles: A study of implementation and security IJECEIAES
Autonomous vehicles have been invented to increase the safety of transportation users. These vehicles can sense their environment and make decisions without any external aid to produce an optimal route to reach a destination. Even though the idea sounds futuristic and if implemented successfully, many current issues related to transportation will be solved, care needs to be taken before implementing the solution. This paper will look at the pros and cons of implementation of autonomous vehicles. The vehicles depend highly on the sensors present on the vehicles and any tampering or manipulation of the data generated and transmitted by these can have disastrous consequences, as human lives are at stake here. Various attacks against the different type of sensors on-board an autonomous vehicle are covered.
IT and Sustainability: New Strategies for Reducing Carbon Emissions and Reso...Jeffrey Funk
This paper describes how rapid rates of improvement in smart phones, telecommunication systems and other forms of IT enable solutions for sustainability and how this provides opportunities for the fields of telecommunication and information systems. While reports from the Intergovernmental Panel on Climate Change focuses on technologies with rates of improvement less than 5% per year, most types of information technologies are experiencing annual rates of improvement that exceed 30% per year. These rapid rates of improvement are changing the economics of many activities of which this paper describes four examples in transportation. The paper concludes by discussing challenges for universities and in particular for the fields of telecommunications and information systems.
The Autonomous Revolution of Vehicles and TransportationMark Goldstein
This presentation to the Greater Phoenix Mensa Regional Gathering on November 29, 2019 is a detailed overview of the transformation of transportation through autonomous vehicles and the advent of Mobility-as-a-Service (MaaS) on the ground and in the air, including why Arizona is a hotbed for development and deployment, insight into the enabling sensor and communication technologies, and a forward-looking view of societal impact, markets and opportunities. Waves of change will roll through the transportation industry and practices as autonomy ramps up in personal and mass transportation, as well as in logistics/delivery segments. We examine how autonomous vehicles will be developed, deployed and monetized, creating new business models across the transportation sector. Explore autonomous vehicles roadblocks and operational challenges, emerging standards and protocols, connected services and their associated big data strategies and opportunities.
Designing Roads for AVs (autonomous vehicles)Jeffrey Funk
Autonomous vehicles (AVs) represent one of the most promising new technologies for smart cities and for humans in general. The problem is that cities will not realize the full benefits from AVs until roads are designed for them. Until this occurs, their main benefit will be the elimination of the driver and steering wheel, which will reduce the cost and increase the capacity of taxis; but even this impact will not occur for many years because of safety concerns. Thus, in the near term, the main benefit of AVs will be free time for the driver to do emails and other smart phone related tasks.
A better solution is to design roads for AVs or in other words, to constrain the environment for AVs in order to simplify the engineering problem for them. For example, designing roads so that all vehicles can be controlled by a combination of wireless communication, RFID tags, and magnets will reduce the cost of AVs and increase their benefits. Only AVs would be allowed on these roads, they are checked for autonomous capability at the entrance, and control is returned to the driver when an AV leaves the road. Existing cars can be retrofitted with wireless modules that enable cars to be controlled by a central system, thus enabling cars to travel closely together. The magnets and RFID tags create an invisible railway that keeps the AVs in their lanes while wireless communication is used for lane changing and exiting a highway (Chang et al, 2014; Le Quesne et al, 2014). These wireless modules, magnets and RFID tags will be much cheaper than the expensive LIDAR that is needed when AVs are mixed with conventional vehicles on a road.
The benefits from dedicating roads to AVs include higher vehicle densities, less congestion, faster travel times, and higher fuel efficiencies. These seemingly contradicting goals can be achieved because AVs can have shorter inter-vehicle distances even at high speeds thus enabling higher densities, lower congestion, and lower travel times. The less congestion and thus fewer instances of slow moving or stopped vehicles enable the vehicles to travel at those speeds at which higher fuel efficiencies can be achieved (Funk, 2015). In combination with new forms of multiple passenger ride sharing, the higher fuel efficiencies will also reduce carbon emissions and thus help fight climate change.
The challenge is to develop a robust system that can be easily deployed in various cities and that will be compatible with vehicles containing the proper subsystems. Such a system can be developed in much the same way that new cellular systems are developed and tested. Suppliers of mobile phone infrastructure, automobiles, sensors, LIDAR, 3D vision systems, and other components must work with city governments and universities to develop and test a robust architecture followed by the development of a detail design.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
Connected & Driverless vehicles: the road to Safe & Secure mobility?Bill Harpley
Over many decades, the automotive industry has built up an enviable reputation for Safety and Reliability. But will the mass arrival of connected and automous vehicles put this hard-won reputation at risk.
In future, the affordance of Safety will depend very much in the effective functioning of Cybersecurity, both in-vehicle at at infrastructure scale.
This presentation looks at how the automotive industry is managing to adapt to the brave new world of the Connected Car. It looks at the source of security vulnerabilities, the current state of the art and the measures the industry is taking to align Safety and Security design processes.
Information on Florida Dept of Transportation's plan for implementing infrastructure and support for connected and automated vehicles on Florida's roadways. Presented by Sec. Paul Steinman, FDOT
Autonomous vehicles: A study of implementation and security IJECEIAES
Autonomous vehicles have been invented to increase the safety of transportation users. These vehicles can sense their environment and make decisions without any external aid to produce an optimal route to reach a destination. Even though the idea sounds futuristic and if implemented successfully, many current issues related to transportation will be solved, care needs to be taken before implementing the solution. This paper will look at the pros and cons of implementation of autonomous vehicles. The vehicles depend highly on the sensors present on the vehicles and any tampering or manipulation of the data generated and transmitted by these can have disastrous consequences, as human lives are at stake here. Various attacks against the different type of sensors on-board an autonomous vehicle are covered.
IT and Sustainability: New Strategies for Reducing Carbon Emissions and Reso...Jeffrey Funk
This paper describes how rapid rates of improvement in smart phones, telecommunication systems and other forms of IT enable solutions for sustainability and how this provides opportunities for the fields of telecommunication and information systems. While reports from the Intergovernmental Panel on Climate Change focuses on technologies with rates of improvement less than 5% per year, most types of information technologies are experiencing annual rates of improvement that exceed 30% per year. These rapid rates of improvement are changing the economics of many activities of which this paper describes four examples in transportation. The paper concludes by discussing challenges for universities and in particular for the fields of telecommunications and information systems.
The Autonomous Revolution of Vehicles and TransportationMark Goldstein
This presentation to the Greater Phoenix Mensa Regional Gathering on November 29, 2019 is a detailed overview of the transformation of transportation through autonomous vehicles and the advent of Mobility-as-a-Service (MaaS) on the ground and in the air, including why Arizona is a hotbed for development and deployment, insight into the enabling sensor and communication technologies, and a forward-looking view of societal impact, markets and opportunities. Waves of change will roll through the transportation industry and practices as autonomy ramps up in personal and mass transportation, as well as in logistics/delivery segments. We examine how autonomous vehicles will be developed, deployed and monetized, creating new business models across the transportation sector. Explore autonomous vehicles roadblocks and operational challenges, emerging standards and protocols, connected services and their associated big data strategies and opportunities.
Designing Roads for AVs (autonomous vehicles)Jeffrey Funk
Autonomous vehicles (AVs) represent one of the most promising new technologies for smart cities and for humans in general. The problem is that cities will not realize the full benefits from AVs until roads are designed for them. Until this occurs, their main benefit will be the elimination of the driver and steering wheel, which will reduce the cost and increase the capacity of taxis; but even this impact will not occur for many years because of safety concerns. Thus, in the near term, the main benefit of AVs will be free time for the driver to do emails and other smart phone related tasks.
A better solution is to design roads for AVs or in other words, to constrain the environment for AVs in order to simplify the engineering problem for them. For example, designing roads so that all vehicles can be controlled by a combination of wireless communication, RFID tags, and magnets will reduce the cost of AVs and increase their benefits. Only AVs would be allowed on these roads, they are checked for autonomous capability at the entrance, and control is returned to the driver when an AV leaves the road. Existing cars can be retrofitted with wireless modules that enable cars to be controlled by a central system, thus enabling cars to travel closely together. The magnets and RFID tags create an invisible railway that keeps the AVs in their lanes while wireless communication is used for lane changing and exiting a highway (Chang et al, 2014; Le Quesne et al, 2014). These wireless modules, magnets and RFID tags will be much cheaper than the expensive LIDAR that is needed when AVs are mixed with conventional vehicles on a road.
The benefits from dedicating roads to AVs include higher vehicle densities, less congestion, faster travel times, and higher fuel efficiencies. These seemingly contradicting goals can be achieved because AVs can have shorter inter-vehicle distances even at high speeds thus enabling higher densities, lower congestion, and lower travel times. The less congestion and thus fewer instances of slow moving or stopped vehicles enable the vehicles to travel at those speeds at which higher fuel efficiencies can be achieved (Funk, 2015). In combination with new forms of multiple passenger ride sharing, the higher fuel efficiencies will also reduce carbon emissions and thus help fight climate change.
The challenge is to develop a robust system that can be easily deployed in various cities and that will be compatible with vehicles containing the proper subsystems. Such a system can be developed in much the same way that new cellular systems are developed and tested. Suppliers of mobile phone infrastructure, automobiles, sensors, LIDAR, 3D vision systems, and other components must work with city governments and universities to develop and test a robust architecture followed by the development of a detail design.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
Connected & Driverless vehicles: the road to Safe & Secure mobility?Bill Harpley
Over many decades, the automotive industry has built up an enviable reputation for Safety and Reliability. But will the mass arrival of connected and automous vehicles put this hard-won reputation at risk.
In future, the affordance of Safety will depend very much in the effective functioning of Cybersecurity, both in-vehicle at at infrastructure scale.
This presentation looks at how the automotive industry is managing to adapt to the brave new world of the Connected Car. It looks at the source of security vulnerabilities, the current state of the art and the measures the industry is taking to align Safety and Security design processes.
With the rapid development of Internet and communication technologies, vehicles that often quickly move in cities or suburb have strong computation and communication abilities. IoV is emerging as an important part of the smart or intelligent cities being proposed and developed around the world. IoV is complex integrated network system that interconnects people within and around vehicles,intelligent systems on board vehicles, and various cyber-physical systems in urban environments.
This project first gives a network model of IoV, and later provides an abstract taxonomy of IoV activation, maintenance, and applications. Finally, an analysis of challenges and future study directions in IoV is also provided.
we have analyzed the existing problems andhave given new approaches for the implementation of urban loTs. Researchers are heading towards big projects which aim at making complex architectures and networks for an advanced future.
Introduction to Connected Cars and Autonomous VehiclesBill Harpley
This is the first of two lectures which were given to students and academic staff at the University of Portsmouth on March 28th 2017. It provides a broad overview of the technical and public policy challenges faced by the automotive industry.
A self-driving car is hyper-communication: a system communicating with more elements, more frequently, and in real-time But to what extent can unmanned vehicles trust communication to make their own decisions? In other terms, how autonomous will be autonomous cars, once they reach the so-called ‘fifth level of autonomy’? 樂
Spindox is involved in 2 different research programs working on this question. We will give our vision for the mid-term scenario, from both a technical and a business perspective: architectural view, industry role, sourcing and delivery strategies. More specifically, we are presenting a proposed model for the data layer within this architecture, that addressed most of foreseen technical issues
The Autonomous Revolution of Vehicles & Transportation 6/12/19Mark Goldstein
I delivered an updated and expanded version of "The Autonomous Revolution of Vehicles and Transportation" to the IEEE Computer Society Phoenix (http://ewh.ieee.org/r6/phoenix/compsociety/) on 6/12/19 at DeVry University in Phoenix, Arizona.
It’s a detailed overview of the transformation of transportation through autonomous vehicles and the advent of Mobility-as-a-Service (MaaS) including enabling sensor and communication technologies as well as why Arizona is a hot bed for development and deployment plus a forward-looking view of markets and opportunities.
'' Internet of Vehicles (IoV) ,,
IoV is basically INTERNET of VEHICLES, a strong network between vehicles and living.
IoT is a proposed development of the Internet in which everyday objects have network connectivity, allowing them to send and receive data.
The new era of the Internet of Things is driving the evolution of conventional Vehicle Ad-hoc Networks into the Internet of Vehicles (IoV).
Being in generation of Internet connectivity, there is a need to stay in safe and hassle free environment.
According to recent predictions, 25 billion “things” will be connected to the Internet by 2020, of which vehicles will constitute a significant portion.
Objectives
IoV – distributed transport fabric capable of making its own decisions about driving customers to their destinations
IoV should have communications, processing, storage, intelligence, learning and strong security capabilities .
To be integrated in IoT framework and smart cities technologies.
Extended business models and the range of applications ( including mediaoriented) current vehicular networks.
Types Of Communication IoV
The IoV includes mainly five types of vehicular communications
1.Vehicle-to-Vehicle (V2V).
2.Vehicle to-Roadside Unit (V2R).
3.Vehicle-to-Infrastructure of cellular networks (V2I) .
4.Vehicle-to-Personal devices (V2P)
5.Vehicle-to-Sensors (V2S).
Network elements of IoV
A network model of IoV is proposed based on the three network elements, including cloud, connection, and client. The benefits of the design and development of IoV are highlighted by performing a qualitative comparison between IoV and VANETs
There are great expectations around the future of autonomous vehicles (AVs) and equally much uncertainty. Some believe that AVs will transform safety and efficiency and are making significant investments in this area. Others are concerned that the technological developments are outpacing society’s ability to adapt, and there is an urgent requirement to develop better regulation before there is widespread deployment. A global Open Foresight project exploring the key issues for the future of AVs is being undertaken by Future Agenda. Expert workshops around the world are building the informed view.
This project was kicked-off with a global review of the emerging landscape for autonomous vehicles. As well looking at the historical context for self-driving cars and trucks, this initial perspective explores the benefits of AVs; different issues for the movement of people vs. goods; the three primary drivers of adoption and the primary centres for innovation. It also includes commentary on the parallel developments in seaborne and air-based autonomous vehicles. It ends with some of the key questions to be explored by the project.
Autonomous vehicles: Plotting a route to the driverless futureAccenture Insurance
How will roadways dominated by high or fully automated vehicles impact future industries, economies and populations? What shifts in leverage and underlying business models are imminent? What new pathways for ecosystem innovation might arise from the data explosion that comes with AV proliferation?
The answers to these questions can be revealed by examining the immediate impact of AV adoption on three industry segments: automotive sales and service; logistics and supply chains; and auto insurance.
Public policy aspects of Connected and Autonomous VehiclesBill Harpley
This is a presentation which I gave to the Brighton IoT Forum meetup group ( of which I am the founder ).
I outlines the key public policy challenges for Connected and Autonomous Vehicles.
It then considers policy responses from the UK Government and examines selected cases studies from U.S. , China and Germany.
IDATE DigiWorld - Autonomous Cars Antoine KlifaIDATE DigiWorld
The promises of autonomous cars
Evolution towards full automation
Levels of autonomous driving
Autonomous car potential
Connectivity and communication
5G opportunities
Strategies and roadmap
Announcements regarding availability
Cisco Smart Intersections: IoT insights using video analytics and AICarl Jackson
In this trial, IoT, Video Analytics, Deep Learning (DL) and Artificial Intelligence (AI), for the purpose of traffic flow assessment and insights into road user behaviour, were evaluated at an intersection at the AIMES testbed in Melbourne¹ in partnership with: the University of Melbourne, Department of Transport (DOT), IAG and Cisco.
White Paper on Transport Safety in the Era of Digital MobilityCarl Jackson
While remarkable progress has been made with technological, operational and behavioral improvements in the century-old, automotive-based transport systems used around the world, rapid technological changes are occurring that could amount to a reset in outcomes for transport users.
Connected & Autonomous vehicles: cybersecurity on a grand scale v1Bill Harpley
A presentation which was given at 'How the Internet of Things is Changing Cyber Security - an event organised by Optimise Hub (Portsmouth University) on January 26th 2017 at Havant.
- This talk describes the issues relating to cybersecurity of Connected Cars and Autonomous Vehicles. It begins with an introduction to technology and standards. It then looks at the key security challenges and asks how prepared we are to deal with the future risks.
- It is a perfect case study in the challenge of achieving cybersecurity on a massive scale.
Vision-based real-time vehicle detection and vehicle speed measurement using ...JANAK TRIVEDI
In recent trends, digital information to the industrial integration for the intelligent transportation system (ITS)
field is gaining importance for the researcher, academia, and industrial persons. Visual information helps to
manage traffic systems in the industrial forum to build smart cities in developed countries. This paper presents
vision-based real-time vehicle detection and Vehicle Speed Measurement (VSM) using morphology operation and
binary logical process for an unplanned traffic scenario using image processing techniques. Vehicle detection and
VSM help to reduce the number of accidents and improve road network efficiency. The bounding box size for
vehicle detection is flexible according to vehicles’ sizes on the road. We test this system with different colors and
dimensions for a selected Region of Interest (ROI). The ROI sets using the two-line approach. Here, we compare
the proposed system with the inter-frame difference method and the blob analysis method with recall, precision,
and F1 performance parameters.
The Importance of Timing to Autonomous Vehicle NavigationTim Klimasewski
Presented at the Institute of Navigation's (ION) joint meeting of their International Technical Meeting (ITM) and Precise Time and Time Interval Meeting (PTTI), Spectracom's CTO, John Fischer, shares his perspective on the confluence of precise timing and the future of autonomous navigation.
2015 D-STOP Symposium session by TxDOT's John Barton. Watch the presentation at http://youtu.be/yd0DJWndSmo?t=25m22s
Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
With the rapid development of Internet and communication technologies, vehicles that often quickly move in cities or suburb have strong computation and communication abilities. IoV is emerging as an important part of the smart or intelligent cities being proposed and developed around the world. IoV is complex integrated network system that interconnects people within and around vehicles,intelligent systems on board vehicles, and various cyber-physical systems in urban environments.
This project first gives a network model of IoV, and later provides an abstract taxonomy of IoV activation, maintenance, and applications. Finally, an analysis of challenges and future study directions in IoV is also provided.
we have analyzed the existing problems andhave given new approaches for the implementation of urban loTs. Researchers are heading towards big projects which aim at making complex architectures and networks for an advanced future.
Introduction to Connected Cars and Autonomous VehiclesBill Harpley
This is the first of two lectures which were given to students and academic staff at the University of Portsmouth on March 28th 2017. It provides a broad overview of the technical and public policy challenges faced by the automotive industry.
A self-driving car is hyper-communication: a system communicating with more elements, more frequently, and in real-time But to what extent can unmanned vehicles trust communication to make their own decisions? In other terms, how autonomous will be autonomous cars, once they reach the so-called ‘fifth level of autonomy’? 樂
Spindox is involved in 2 different research programs working on this question. We will give our vision for the mid-term scenario, from both a technical and a business perspective: architectural view, industry role, sourcing and delivery strategies. More specifically, we are presenting a proposed model for the data layer within this architecture, that addressed most of foreseen technical issues
The Autonomous Revolution of Vehicles & Transportation 6/12/19Mark Goldstein
I delivered an updated and expanded version of "The Autonomous Revolution of Vehicles and Transportation" to the IEEE Computer Society Phoenix (http://ewh.ieee.org/r6/phoenix/compsociety/) on 6/12/19 at DeVry University in Phoenix, Arizona.
It’s a detailed overview of the transformation of transportation through autonomous vehicles and the advent of Mobility-as-a-Service (MaaS) including enabling sensor and communication technologies as well as why Arizona is a hot bed for development and deployment plus a forward-looking view of markets and opportunities.
'' Internet of Vehicles (IoV) ,,
IoV is basically INTERNET of VEHICLES, a strong network between vehicles and living.
IoT is a proposed development of the Internet in which everyday objects have network connectivity, allowing them to send and receive data.
The new era of the Internet of Things is driving the evolution of conventional Vehicle Ad-hoc Networks into the Internet of Vehicles (IoV).
Being in generation of Internet connectivity, there is a need to stay in safe and hassle free environment.
According to recent predictions, 25 billion “things” will be connected to the Internet by 2020, of which vehicles will constitute a significant portion.
Objectives
IoV – distributed transport fabric capable of making its own decisions about driving customers to their destinations
IoV should have communications, processing, storage, intelligence, learning and strong security capabilities .
To be integrated in IoT framework and smart cities technologies.
Extended business models and the range of applications ( including mediaoriented) current vehicular networks.
Types Of Communication IoV
The IoV includes mainly five types of vehicular communications
1.Vehicle-to-Vehicle (V2V).
2.Vehicle to-Roadside Unit (V2R).
3.Vehicle-to-Infrastructure of cellular networks (V2I) .
4.Vehicle-to-Personal devices (V2P)
5.Vehicle-to-Sensors (V2S).
Network elements of IoV
A network model of IoV is proposed based on the three network elements, including cloud, connection, and client. The benefits of the design and development of IoV are highlighted by performing a qualitative comparison between IoV and VANETs
There are great expectations around the future of autonomous vehicles (AVs) and equally much uncertainty. Some believe that AVs will transform safety and efficiency and are making significant investments in this area. Others are concerned that the technological developments are outpacing society’s ability to adapt, and there is an urgent requirement to develop better regulation before there is widespread deployment. A global Open Foresight project exploring the key issues for the future of AVs is being undertaken by Future Agenda. Expert workshops around the world are building the informed view.
This project was kicked-off with a global review of the emerging landscape for autonomous vehicles. As well looking at the historical context for self-driving cars and trucks, this initial perspective explores the benefits of AVs; different issues for the movement of people vs. goods; the three primary drivers of adoption and the primary centres for innovation. It also includes commentary on the parallel developments in seaborne and air-based autonomous vehicles. It ends with some of the key questions to be explored by the project.
Autonomous vehicles: Plotting a route to the driverless futureAccenture Insurance
How will roadways dominated by high or fully automated vehicles impact future industries, economies and populations? What shifts in leverage and underlying business models are imminent? What new pathways for ecosystem innovation might arise from the data explosion that comes with AV proliferation?
The answers to these questions can be revealed by examining the immediate impact of AV adoption on three industry segments: automotive sales and service; logistics and supply chains; and auto insurance.
Public policy aspects of Connected and Autonomous VehiclesBill Harpley
This is a presentation which I gave to the Brighton IoT Forum meetup group ( of which I am the founder ).
I outlines the key public policy challenges for Connected and Autonomous Vehicles.
It then considers policy responses from the UK Government and examines selected cases studies from U.S. , China and Germany.
IDATE DigiWorld - Autonomous Cars Antoine KlifaIDATE DigiWorld
The promises of autonomous cars
Evolution towards full automation
Levels of autonomous driving
Autonomous car potential
Connectivity and communication
5G opportunities
Strategies and roadmap
Announcements regarding availability
Cisco Smart Intersections: IoT insights using video analytics and AICarl Jackson
In this trial, IoT, Video Analytics, Deep Learning (DL) and Artificial Intelligence (AI), for the purpose of traffic flow assessment and insights into road user behaviour, were evaluated at an intersection at the AIMES testbed in Melbourne¹ in partnership with: the University of Melbourne, Department of Transport (DOT), IAG and Cisco.
White Paper on Transport Safety in the Era of Digital MobilityCarl Jackson
While remarkable progress has been made with technological, operational and behavioral improvements in the century-old, automotive-based transport systems used around the world, rapid technological changes are occurring that could amount to a reset in outcomes for transport users.
Connected & Autonomous vehicles: cybersecurity on a grand scale v1Bill Harpley
A presentation which was given at 'How the Internet of Things is Changing Cyber Security - an event organised by Optimise Hub (Portsmouth University) on January 26th 2017 at Havant.
- This talk describes the issues relating to cybersecurity of Connected Cars and Autonomous Vehicles. It begins with an introduction to technology and standards. It then looks at the key security challenges and asks how prepared we are to deal with the future risks.
- It is a perfect case study in the challenge of achieving cybersecurity on a massive scale.
Vision-based real-time vehicle detection and vehicle speed measurement using ...JANAK TRIVEDI
In recent trends, digital information to the industrial integration for the intelligent transportation system (ITS)
field is gaining importance for the researcher, academia, and industrial persons. Visual information helps to
manage traffic systems in the industrial forum to build smart cities in developed countries. This paper presents
vision-based real-time vehicle detection and Vehicle Speed Measurement (VSM) using morphology operation and
binary logical process for an unplanned traffic scenario using image processing techniques. Vehicle detection and
VSM help to reduce the number of accidents and improve road network efficiency. The bounding box size for
vehicle detection is flexible according to vehicles’ sizes on the road. We test this system with different colors and
dimensions for a selected Region of Interest (ROI). The ROI sets using the two-line approach. Here, we compare
the proposed system with the inter-frame difference method and the blob analysis method with recall, precision,
and F1 performance parameters.
The Importance of Timing to Autonomous Vehicle NavigationTim Klimasewski
Presented at the Institute of Navigation's (ION) joint meeting of their International Technical Meeting (ITM) and Precise Time and Time Interval Meeting (PTTI), Spectracom's CTO, John Fischer, shares his perspective on the confluence of precise timing and the future of autonomous navigation.
2015 D-STOP Symposium session by TxDOT's John Barton. Watch the presentation at http://youtu.be/yd0DJWndSmo?t=25m22s
Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
Ben Pierce is an industry expert in the emerging field of autonomous and connected vehicles (AV/CV). Based in Columbus, Ohio, Ben is a national thought leader drawing on more than 25 years of experience with transportation technology. Ben’s vision and understanding of transportation technology made him a key contributor to Columbus, Ohio’s successful Smart City Challenge application.
Florida's Automated Vehicle Initiative presentation to the Freight Transportation Advisory Committee (FTAC) by the Florida Department of Transportation (FDOT) and Kimley-Horn and Associates on October 22, 2014.
2016 D-STOP Symposium ("Smart Cities") session by SwRI's Paul Avery. Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
What role will data play in connected and autonomous vehicles? What data sources are available to us? What are other entities doing with data? We will explore what other jurisdictions are doing and take time to focus on efforts in Texas to gather an analyze data for operational and planning efficiencies. Presented at the 2017 D-STOP Symposium.
Adrian Pearmine of DKS Associates presented at Drive Oregon's October 2015 event. He highlighted new modes of mobility that are anticipated to transform our transportation system and discussed best practices for private and municipal planners to use when planning for these changes.
How do we address the key challenges of IoMT? Where does computing take place? Where do we place the sensors? This presentation explores those issues. Presented at the 2017 D-STOP Symposium.
This session will provide an overview of the new Qualcomm® Snapdragon™ Automotive Development Platform (ADP), which offers the multiple, integrated capabilities of optimized Qualcomm Technologies, Inc., production-grade solutions in a single-board platform. The ADP enables rapid development, testing and deployment of next-generation infotainment apps and experiences for the emerging connected car opportunity. Qualcomm Snapdragon is a product of Qualcomm Technologies, Inc.
Watch this presentation on YouTube:
https://www.youtube.com/watch?v=RMF3AQon3NU
Autonomous cars, car sharing and electric vehiclesAnandRaoPwC
Talk presented at the second Autonomous Cars conference hosted by SwissRe in Armonk, NY on September 24, 2015. The talk covers the interaction between car sharing, autonomous cars and electric vehicles and how the feedback between these three areas will propel greater consumer adoption.
Just what is that thing on top of the Google Car? What does adaptive cruise control with lane assist mean? When are these things going to be ready? The answer to these questions and more in a technology overview that unravels just how these vehicles are going to work. Presented at the 2017 D-STOP Symposium.
Rapid strides in Technology are making mobility seamless. Consumers are connected to the external world through a plethora of personal smart devices.
Automotive sector too is witnessing an unprecedented absorption of these technologies en masse to provide a connected car experience. There is an immediate need for the right mix of technologies/processes and the right delivery mechanisms for providing the Car occupants safer & ultimate driving Experience while generating value for the stake holders.
This presentation will cover some of the key technology trends and challenges involved in realizing the connected car functions
I guess everyone have little knowledge about connected car technology as it has been newly introduced to auto industry. This presentation explains some common features of it i.e. Music app, Navigation, Automotive system diagnosis, Bluetooth, Road-side assistance, Hands-free control, Contextual help, Parking help, App manager, 4G Wi-Fi hotspot, ADAS etc. The most demanded features of connected car are the In-car safety features and vehicle-to-vehicle safety features. Check out for details.
Carlos Ortiz, PE, TE, ADVANTEC Consulting Engineers, presents "Connecting California from Research to Reality" at ASCE OC Transportation Technical Group (TTG) seminar.
Welcome to the Connected Vehicle Training Overview. This program will give professionals an overview of overarching concepts of the connected vehicle space Mobile Comply has created the Connected Vehicle Management Overview, a highly selective two-hour course designed to give participants a basic understanding of the connected vehicle space for Future connected vehicle education and certification programs.
Telematics is the branch of information technology which deals with the long-distance transmission of computerized information. It is the convergence of telecommunications and information processing, the term later evolved to refer to automation in automobiles, such as the invention of the emergency warning system for vehicles. GPS navigation, integrated hands-free cell phones, wireless safety communications and automatic driving assistance systems all are covered under the telematics umbrella.
This is a basic presentation which describes a futuristic model of telematics system which will not only provide the vehicle user guidance, emergency or road side assistance or vehicle diagnostic/ health report on data captured but will also provide in much more deeper level a real time risk of any failure or service requirement in a vehicle, User Based Insurance services, driver detection etc. These predictions and services are implemented by highly sophisticated and well-integrated advanced telematics model and the intelligent optimization and management of on board and off board data with the help of machine learning.
Preparing for CV Deployment read ahead 9-8-18raymurphy9533
The fundamental premise of the connected vehicle environment lies in the power of wireless connectivity among vehicles (V2V communications), the infrastructure (V2I communications), and mobile devices to bring about transformative changes in highway safety, mobility, and the environmental impacts of the transportation system.
Iot based smart transport management systemGagan Bansal
In this paper, the author highlighted the workings, executions, implementations, and the application of the Internet of Things (IoT) in transport management and vehicle to vehicle
communication systems.
Drive Oregon Event: Connected Cars: The Future of TransportationForth
Drive Oregon's September 2013 event featured Dr. Robert Bertini speaking on the the benefits of "connected car" technology.
In December 2012, Governor Kitzhaber released the 10 Year Energy Plan, a bold roadmap forward aimed at reducing our state’s energy usage. Improving and expanding our state’s intelligent transportation system, which relies on “smart” or “connected” technology, was included in the plan as an integral step toward increasing the efficiency and safety of our roads.
Dr. Bertini's presentation gives a great overview of what the future of Oregon's roads will probably look like!
Updates provided to the D-STOP Business Advisory Council at the 2017 Symposium and Board Meeting: https://ctr.utexas.edu/2018/04/12/d-stop-2017-symposium-archive/
Updates provided to the D-STOP Business Advisory Council at the 2017 Symposium and Board Meeting: https://ctr.utexas.edu/2018/04/12/d-stop-2017-symposium-archive/
Updates provided to the D-STOP Business Advisory Council at the 2017 Symposium and Board Meeting: https://ctr.utexas.edu/2018/04/12/d-stop-2017-symposium-archive/
Updates provided to the D-STOP Business Advisory Council at the 2017 Symposium and Board Meeting: https://ctr.utexas.edu/2018/04/12/d-stop-2017-symposium-archive/
Updates provided to the D-STOP Business Advisory Council at the 2017 Symposium and Board Meeting: https://ctr.utexas.edu/2018/04/12/d-stop-2017-symposium-archive/
Updates provided to the D-STOP Business Advisory Council at the 2017 Symposium and Board Meeting: https://ctr.utexas.edu/2018/04/12/d-stop-2017-symposium-archive/
Updates provided to the D-STOP Business Advisory Council at the 2017 Symposium and Board Meeting: https://ctr.utexas.edu/2018/04/12/d-stop-2017-symposium-archive/
Updates provided to the D-STOP Business Advisory Council at the 2017 Symposium and Board Meeting: https://ctr.utexas.edu/2018/04/12/d-stop-2017-symposium-archive/
Updates provided to the D-STOP Business Advisory Council at the 2017 Symposium and Board Meeting: https://ctr.utexas.edu/2018/04/12/d-stop-2017-symposium-archive/
Updates provided to the D-STOP Business Advisory Council at the 2017 Symposium and Board Meeting: https://ctr.utexas.edu/2018/04/12/d-stop-2017-symposium-archive/
Online platforms are emerging as a powerful mechanism for matching resources to requests. In the setting of freight, the requests arrive from shippers, who have a diverse collection of goods. The resources are supplied by shippers (trucks), and have various physical constraints (driver’s route preferences, carrying capacity, geographic preferences, etc.). Online platforms are emerging that (a) learn the characteristics of shippers and carriers, and (b) efficiently match goods to trucks based on such learning.
Our project will develop algorithms for such online resource allocation. This is a challenging problem, due to the complexity of the learning tasks. Such algorithms can have considerable impact on efficiently using trucking resources.
Through this project, the research team will leverage the computing resources and expertise at UT to develop a “data discovery environment” for transportation data to aid decision-making. Many efforts focus on leveraging transportation data to help travelers make decisions, but less thought has gone into a framework for using big data to help transportation agency staff and decision makers. The team will start by building the DDE for the Central Texas region, in collaboration with the local MPO, the City of Austin, and the local transit agency. Initially, the project will focus on creating more meaning from existing data sources, and as the project progresses, it will grow to include more novel data sources and methods. The data platform will be web-based and part of the research includes not only building the tool but developing appropriate protocols for access and governance.
With changing transportation paradigms, there is significant potential for a shift in the balance between the overall population use of, and reliance on, ridesharing services versus traditional transportation options such as personal car ownership or transit use. This shift could lead to a realignment of the bulk of the responsibility for mobility to private entities and away from individual citizens and public entities. Today, as supplemental to the multitude of transportation options that are available, the availability, or lack thereof, of ridesharing services produces low to minimal risk to the traveling public. However, in a future in which ridesharing is optimally (widely) employed, the current independent nature of ridesharing services will influence wider community transit services. This problem statement explores the effects of new types of transportation on transit through the creation of several plausible future scenarios, and what policy decisions could potentially be made to ensure that transit is optimally employed.
Advanced driver assistance systems (ADAS) are a key technology for improving road safety. But both current and proposed ADAS are limited in important ways. Vision- and lidar-based ADAS performs poorly in heavy rain, snow, or fog. Lack of vehicle situational awareness due to these sensing limitations will unfortunately be the cause of many accidents, including fatalities, for connected and automated vehicles in the years to come. The goal of this research is to develop and test a sensing strategy with robust perception: No blind spots, applicable to all driveable environments, and available in all weather conditions. We believe there are three key requirements for collaborative all-weather sensing:
– Precise vehicle positioning within a common reference frame
– Decimeter-accurate vision and radar mapping
– A means of quantifying the benefits of collaborative sensing
Vehicular radar and communication are the two primary means of using radio frequency (RF) signals in transportation systems. Automotive radars provide high-resolution sensing using proprietary waveforms in millimeter wave (mmWave) bands and vehicular communications allow vehicles to exchange safety messages or raw sensor data. Both the techniques can be used for applications such as forward collision warning, cooperative adaptive cruise control, and pre-crash applications.
Many areas of machine learning and data mining focus on point estimates of key parameters. In transportation, however, the inherent variance, and, critically, the need to understand the limits of that variance and the impact it may have, have long been understood to be important. Indeed, variance and other risk measures that capture the cost of the spread around the mean, are critical factors in understanding how people act. Thus they are critical for prediction, as well as for purposes of long term planning, where controlling risk may be equally important to controlling the mean (the point estimate).
There has been tremendous progress on large scale optimization techniques to enable the solution of large scale machine learning and data analytics problems. Stochastic Gradient Descent and its variants is probably the most-used large-scale optimization technique for learning. This has not yet seen an impact on the problem of statistical inference — namely, obtaining distributional information that might allow us to control the variance and hence the risk of certain solutions.
Investigation and findings on reservation-based intersections and managed lanes
Real-Time Signal Control and Traffic Stability
Congestion on urban arterials is largely centered around intersection control. Traditional traffic signal schemes are limited in their ability to adapt in real time to traffic conditions or by their ability to coordinate with each other to ensure adequate performance. Specifically, there is a tension between adaptivity (as with actuated signals) and coordination through pre-timed signals (signal progression). We propose to investigate whether routing protocols in telecommunications networks can be applied to resolve these problems. Specifically, the backpressure algorithm of Tassiulas & Emphremides (1992) can ensure system stability through decentralized control under relatively weak regularity conditions. It is as yet unknown whether this algorithm can be adapted to traffic signal systems, and if so, what modifications are needed. Traffic systems differ in several significant ways from telecommunication networks: each intersection approach has relatively few queues (lanes) that must be shared among traffic to various definitions. First-in, first-out constraints lead to head-of-line blocking effects, traffic waves move at a much slower speed than data packets, and traffic queues are tightly limited by physical space (finite buffers). Determining whether (and how) the backpressure concept can be adapted to traffic networks requires significant research, and has the potential to dramatically improve signal performance.
Improved Models for Managed Lane Operations
Managed lanes (ML) are increasingly being considered as a tool to mitigate congestion on highways with limited areas for capacity expansion. Managed lanes are dynamically priced based on the congestion level, and can be set either with the objective of maximum utilization (e.g., a public operator) or profit maximization (e.g., a private operator). Optimization models for determining these pricing policies make restrictive assumptions about the layout of these corridors (often a single entrance and exit) or knowledge of traveler characteristics on behalf of the modeler (e.g., distribution of willingness to pay). Developing new models to address these issues would allow for better utilization of these facilities.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
A Perspective of a Connected and Autonomous Transportation System
1. A PERSPECTIVE OF A
CONNECTED AND
AUTONOMOUS
TRANSPORTATION SYSTEM
C. Michael Walton, Ph.D., P.E.
Ernest H. Cockrell Centennial Chair in Engineering
The University of Texas at Austin
March 2, 2015
2. 2
Why ITS?
United States in 2009:
• 5.5 million traffic crashes *
– 30,797 fatalities (lowest
since 1954)
– 1.5 million injuries’
– $230.6 billion in costs
• $115 billion cost of urban
traffic congestion**
– 4.8 billion hours of delay
– 3.9 billion gallons of wasted
fuel
• Unacceptable
* US DOT, Traffic Safety Facts 2009
**Texas Transportation Institute, Urban
Mobility Report 2010
Source: USDOT
Safety Facts 2010,
Texas Tech Institute
Mobility Report 2010
3. Vision –
What would we wish for?
Vehicles that can’t crash
◦ Vehicles are wrapped in information
◦ Everyone has technology-enabled safety in
their vehicles
Technology in transportation reduces
negative impact on the environment
◦ Improved system performance
◦ Improved driver decision-making
5. Crashless
Vehicles
Evolution to Crashless Vehicles
Connected
- Mobile Communications
- Instant Asset Tracking
-Real Time Traffic Info
- Electronic Tolling
Autonomous
-Partial or full self driving
Coordinated
- Coordinated Routing
- Optimized Traffic Flow
Cooperative
- Cooperative
Collision Avoidance
- Transit-aware
Signal Preemption
6.
7. IVHS – Getting Started
Mobility 2000
IVHS America Established
ISTEA
Strategic Plan for IVHS
IVHS Architecture Program
Early Tests and Deployments
◦ TravTek, HELP, ETC, etc.
IVHS to ITS
1986-1994
8. ITS – Research & Testing
Mobilizing for deployment
Showcasing and broadening scope
Focus on benefits and opportunities
Internet boom
Major Milestones
◦ ITS Program Plan, ITS America and U.S. DOT
deployment goals, IVI, MMDI, standards
initiatives underway
1994-1998
9. ITS - Mainstreaming
TEA-21
Deploy, deploy, deploy
Operations focus
511 begins
Beginning to recognize the need for
more and better data
Hurricane Floyd and 9/11
demonstrate problems with being
“blind”
1999-2001
10. ITS – Refining & Recommitting
Reauthorization – ensuring continuing
role and recognition of the importance
of ITS in transportation
Security and reliability added to
efficiency, safety and productivity as
goals
Recognized need to accelerate data
gathering, sharing and use
◦ Infostructure Proposal (TRB 2002)
◦ INTI from National ITS Program Plan
2001-2005
11.
12. Robo-Taxi
Vision into the Future
Bright Future
Safer, more reliable, and more sustainable system
Just a few examples…
Auto Platooning
Ridesharing
Collision Avoidance
Intelligent Merging
Probe sensing
13. Auto Convoying (L2-L3)
Demonstrations:
GERMANY: platoon of four
trucks with10 m spacing
U.S.: three trucks with 3-6
m spacing
SWEDEN: truck platooning
on a 520 km route
VOLVO (SARTRE):
platoon travels at 85
km/h, with 6 m spacing;
10000 km distance.
JAPAN: platoon travels at
80 km/h, with 4 m
15. Market
Highly automated vehicles (L3-L4) to launch in five
years
2014 2020
Nissan AV on
market
2017
Volvo AV road test in
Sweden
Year
Google will test
driverless car in Calif,
U.S.
Driving assistance
features on market
Prototyping and lab test Large-scale road test and
commercialization of highly
automated vehicles
GM almost
driverless car
coming
2013
Toyota,
Audi
demonstrati
on
Mercedes-Benz
driverless car
production ready
2025
Daimler, Ford AV on
market
2010
Google self-
driving car
project
launched
16.
17.
18. The Vehicle is the Sensor
Maybach 57
Vehicle location
Destination
Traffic
Speed
Road surface
Weather…
19. Sensors Do Have
Their Limitations
Sensors provide part of the view
Range is an issue – often line of sight
Scope is an issue – not everything needed can be
sensed in a timely fashion
Especially true in the rapidly changing situation of an
an unfolding event
Maps & Sensors Collaborate
Inertial sensors provide information about vehicle’s
current position and motion
Radar provides information about environment in the
the vehicle’s heading direction
Digital maps provide information about the road ahead
ahead and the vehicle’s future position with regard to
20. Examples of Wireless Technologies
Technology Range Latency
5.9 GHz DSRC 1000 m .0002 sec.
Digital Cellular 4000-6000 m 1.5-3.5 sec.
Bluetooth 10 m 3-4 sec.
Digital Television 40,000 m 10-30 sec.
Other 802.11 Wireless Technologies 1000 m 3-5 sec.
Terrestrial Digital Radio 30,000-50,000 m 10-20 sec.
Two-way Satellite N/A 60+ sec.
21. Wireless Technology
Revolution
Observations: Technology Private Sector
Fast technology evolution
◦ Growing use of navigation systems (on 69% of all
models)
◦ Growing desire to deliver real-time traffic information
◦ Some are marketing real-time information
◦ Data quality and extent is limited
◦ Many technologies are vying to be the data solution
◦ No clear winner…yet
◦ OEMs are looking to technology for vehicular safety
◦ Autonomous safety systems are growing
22. U.S. Department of Transportation
Spectrum Scarcity and Future
Communications Technologies
23. Work Areas - Policy
Preliminary topics
Data ownership
Privacy
Infrastructure investments
Data management & distribution
Pricing strategies
24. Military -- Cutting
deployment time from
60 days to 72 hrs.
Growth in coastal
evacuation needs
Precision Weather
Response
National Park
Management
Everyone needs data!
Precision
Medical
Response
25. More and More Data in the
Cloud
By 2020, one-third of all data will live in or pass
through the cloud
Global cloud services revenue will jump 20% per year
IT spending on innovation and cloud computing could
top $1 trillion by 2014
Creating new capabilities…
1960 1970 1980 1990 20102000
Mainframe
Cloud
Virtualization
Web
Client Server
Minicomputer
Source: Lew Tucker, Cloud CTO, Cisco, 2011; EMC, 2011; IDC, 2010
26. By 2015, 1 Zettabyte of Data Will
Flow over the Internet
One zettabyte = stack of books
from Earth to Pluto 20 times (72
billion miles)
Increase of 540,000 times from
2003; more than 90% from video
If an 11 oz. cup of coffee equals
1 gigabyte, then 1 zettabyte
would have the same volume of
the Great Wall of China
Source: Cisco Visual Networking Index (VNI), June 2011
28. The Opportunity:
Turning Data into Wisdom
Data
Data
Information
Knowledge
Wisdom
More Important
Less
Important
Source: Cisco IBSG, 2011
29. Information
“Ownership”
Each information network has multiple
stakeholder and many different data
“owners”
e.g., the “Highway Information Network” has
many stakeholders, including state/local DOT’s,
vehicle operators or manufacturers, package
delivery, etc. – all of these groups have data
pertaining to the highway
Data “owners” control the functionality,
quality, security, and privacy of their data
In a “shared network,” stakeholders
Summary
30. U.S. Department of Transportation
Cyber Vulnerabilities
Source: http://ics-cert.us-cert.gov/images/figure1.jpg
31. Barriers and Uncertainties
Adoption is uncertain:
Reliability of
technologies
Google’s car are
involved in two
incidents so far in
200,000 miles travel:
one rear-ended, one
when a human driver
took the control
Liability
Affordability
A Google driverless car
costs $150,000 as of
2013
Does Moore’s law
kpmg: Self-driving cars: The next revolution
32. Barriers and Fears of Smart
Systems
Institutional barriers
◦ Different sectors may not want to share data
◦ Lack of common language or criteria between
sectors
Government regulation (or lack there of)
Consumer’s may not embrace the technology
Barriers can eventually be overcome
Fears
◦ Loss of privacy: sensors everywhere gives a
sense of being under surveillance
◦ Potential for hackers to take over the systems
◦ People may become too reliant on smart
technologies that they will not be able to function
without them
Source: The Economist: It’s a smart world: A special report on smart systems, November 6, 2010
33. Emerging Priorities
Toward Zero Deaths and Zero Injuries
Reliable Travel
Connected Vehicles
Public Safety
Homeland Security
Sustainable Environment
(e.g., zero carbon, zero fatalities, etc.)
Trip Pricing
Summary
34. C. Michael Walton, Ph.D., P.E.
Ernest H. Cockrell Centennial Chair in Engineering
Dept. of Civil, Architectural and Environmental
Engineering
The University of Texas at Austin
301 E. Dean Keeton Street, Stop C1761
Austin, TX 78712
512-471-1414
cmwalton@mail.utexas.edu
34