2016 D-STOP Symposium ("Smart Cities") session by Cap Metro's Joe Iannello. Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
2016 D-STOP Symposium ("Smart Cities") session by WNCG's Robert Heath. Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
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/
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
Autonomous Vehicles - Impacts and OpportunitiesPeter Shannon
Autonomous vehicles can evolve to impact society in profound ways by challenging assumptions we have lived by for generations. This presentation (and the discussion it supports) will explore the new opportunities as well as the challenges of autonomous vehicles, from how they will impact individuals’ lives during early adoption to how they will remake the urban cityscape in the long term. We will explore the technology’s impact on the concepts of vehicle ownership, parking, travel planning, and other parts of our lives shaped today around humans at the wheel, as well as practical challenges to realizing the long term opportunities.
How our cities can plan for driverless cars JumpingJaq
The document discusses how cities can plan for driverless cars. It begins with an overview of driverless car technology and definitions. It then discusses potential impacts on society and timelines for adoption. The document proposes two potential future scenarios regarding levels of vehicle and ride sharing. It concludes by recommending actions for state and local governments, such as updating policies and infrastructure to manage impacts, and establishing communications with technology stakeholders.
2017 Autonomous Vehicle Presentation Package Michael Scheno
This exclusive package includes presentations by Annabel R. Chang, Director of Public Policy at Lyft, Glen DeVos, Vice President – Engineering at Delphi, and Sam Abuelsamid, Senior Research Analyst at Navigant Research.
2016 D-STOP Symposium ("Smart Cities") session by Cap Metro's Joe Iannello. Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
2016 D-STOP Symposium ("Smart Cities") session by WNCG's Robert Heath. Get symposium details: http://ctr.utexas.edu/research/d-stop/education/annual-symposium/
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/
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
Autonomous Vehicles - Impacts and OpportunitiesPeter Shannon
Autonomous vehicles can evolve to impact society in profound ways by challenging assumptions we have lived by for generations. This presentation (and the discussion it supports) will explore the new opportunities as well as the challenges of autonomous vehicles, from how they will impact individuals’ lives during early adoption to how they will remake the urban cityscape in the long term. We will explore the technology’s impact on the concepts of vehicle ownership, parking, travel planning, and other parts of our lives shaped today around humans at the wheel, as well as practical challenges to realizing the long term opportunities.
How our cities can plan for driverless cars JumpingJaq
The document discusses how cities can plan for driverless cars. It begins with an overview of driverless car technology and definitions. It then discusses potential impacts on society and timelines for adoption. The document proposes two potential future scenarios regarding levels of vehicle and ride sharing. It concludes by recommending actions for state and local governments, such as updating policies and infrastructure to manage impacts, and establishing communications with technology stakeholders.
2017 Autonomous Vehicle Presentation Package Michael Scheno
This exclusive package includes presentations by Annabel R. Chang, Director of Public Policy at Lyft, Glen DeVos, Vice President – Engineering at Delphi, and Sam Abuelsamid, Senior Research Analyst at Navigant Research.
The document discusses car-to-car communication technology. It describes how car-to-car communication allows vehicles to communicate with each other to share information. This can improve safety features like adaptive cruise control and lane keeping assist systems. However, there are also challenges to implementing this technology at scale, such as different communication methods between moving vehicles and latency issues. If fully realized, car-to-car communication networks may fundamentally change how vehicles operate by allowing them to share vast amounts of real-time data.
1) The document discusses connected and automated vehicles and their implications for transportation. It summarizes two types of automated vehicle technology: self-driving vehicles that make autonomous decisions and connected vehicles that can communicate wirelessly.
2) It describes how connected and automated vehicles could improve traffic safety and efficiency by avoiding collisions, optimizing traffic flow, and enhancing capacity. However, these technologies may also influence traveler behavior, land use patterns, and mode choice in ways that are still uncertain.
3) The impacts of automated vehicles will depend on whether they are used as privately owned vehicles or shared through a mobility system. Privately owned automated vehicles could increase vehicle miles traveled and congestion, while shared automated vehicles have the potential for greater
Car-to-car communication technology allows vehicles to broadcast location, speed, and other data to surrounding vehicles within a few hundred meters. This technology, which could be available in cars within 1-2 years, aims to prevent collisions by giving vehicles a more complete picture of the driving environment. It has the potential for a bigger safety impact than advanced driver assistance systems alone. The technology will calculate collision chances 10 times per second as vehicles transmit messages to each other using dedicated wireless spectrum and standards, but it may be over a decade before connected vehicles are common on roads.
The document discusses several smart mobility solutions including:
- Advanced driver assistance systems using LiDAR, depth sensing, and vehicle data exchange platforms.
- Electric vehicles like expandable electric cars that can narrow to fit small spaces and connected folding electric scooters.
- Safety systems like cabin occupancy sensors, distracted driving prevention, and crosswalk safety alerts.
- Security solutions like automotive cybersecurity platforms, driver safety apps, and firewalls to protect connected vehicles from hacking.
Future of intelligent transportation CIO Roundtable 080214James Sutter
Keith Golden presented on the future of intelligent transportation. He discussed the history of key traffic management milestones like signal timing and vehicle detection technologies. Golden explained current signal coordination methods and connected vehicle initiatives like vehicle-to-vehicle and vehicle-to-infrastructure communication. He outlined levels of vehicle automation from driver assistance features to autonomous vehicles, noting predictions but also challenges to widespread adoption. Golden concluded by considering ethical questions around decision making for autonomous vehicles.
Presentation given by Dr. Chandra Bhat during SXSW '14. Dr. Bhat is the Director at the Center of Transportation Research at the University of Texas at Austin.
Carlos Ortiz presented on connected and automated vehicles. He discussed current transportation challenges related to safety, mobility, and the environment. Ortiz then provided an overview of connected and automated vehicle technology, including definitions and levels of automation. He described the FHWA's CV pilot program and various applications of connected vehicle technologies. Finally, Ortiz discussed challenges this new technology may pose to the transportation industry, including changes to planning, policy, workforce, and other areas.
Connected Vehicle 101 - US Department of TransportationAndy Palanisamy
Connected vehicles use wireless communication between vehicles and infrastructure to help prevent crashes, make travel easier, and reduce pollution. All vehicles will communicate anonymously using Dedicated Short-Range Communications to share information about road conditions, traffic, and available services. This technology has the potential to address 81% of unimpaired crash scenarios and provide drivers with warnings to help them avoid collisions.
IoT, Smart Mobility and the need for PositioningtechUK
Presented by Jacopo Ovarelli, External Consultant for European GNSS Agency (GSA) in the techUK Satellite Applications & Services Conference, 2nd Oct. 2015
Autonomous driving revolution- trends, challenges and machine learning Junli Gu
The document discusses trends in autonomous driving, including challenges when big data meets machine learning in cars. It outlines how sensor systems collect big data from cameras, radar, ultrasound and lidar. Machine learning is then used to perceive the real world through techniques like object recognition, 3D scene understanding, semantic segmentation and reinforcement learning. Autonomous vehicles will also need powerful embedded computing and connectivity through vehicle-to-vehicle and cloud networks.
Digital Winners 2014: David Holecek, Volvo CarTelenor Group
Volvo sees connectivity as increasingly important, with 39% of car buyers in 2013 citing in-vehicle technology as a top priority. A connected car fully participates in the networked society through functional connectivity layers, digital ecosystem integration, and apps allowing control and integration with smartphones, infrastructure, other cars, and Volvo services. Volvo's strategy is to make life more enjoyable and save time through new connected benefits, leveraging big data and focusing on drive time, connected life, and maximizing their role in the connected society.
This presentation starts with the current developments from the perspective of the driver. It gives more details ons how the human can be integrated in the automotive design process
The document discusses the history and development of autonomous vehicles. It begins with early prototypes in the 1970s and 1980s, including Japan's first autonomous car that could travel up to 30 km/h. Major milestones are DARPA challenges and demonstrations of road following and obstacle avoidance. The document outlines key technologies required for autonomous vehicles like sensors, navigation, motion planning, and actuation. Short term advantages include reducing traffic and allowing work or rest while traveling. Long term, autonomous vehicles could enable longer commutes, public transit reductions, and decreased emissions. Ethical implications around training, corporate control, and privacy are discussed.
Queensland’s Intelligent Transport Systems (ITS) Pilot ProjectsJumpingJaq
The document discusses a proposed Queensland Intelligent Transport Systems Pilot Project. It aims to pilot emerging cooperative intelligent transport services (C-ITS) and automated vehicle technologies. The project would test C-ITS applications that share safety-related data between vehicles and infrastructure to provide drivers with timely warnings. It would also help advance the understanding of automated vehicles and how they can benefit from expanded sensing through C-ITS. The government sees opportunities in these technologies to improve mobility, safety and the environment. However, there are also uncertainties around impacts to business models, costs, regulations and public acceptance that require further pilot testing and research.
Impacts of Automated Vehicles - Guidance for Australian and New Zealand Road ...JumpingJaq
This document discusses key actions that road agencies can take to support automated vehicles. It identifies considerations around physical infrastructure, such as ensuring consistency of signs, lines, and asset management. Digital infrastructure needs like vehicle localization and cellular coverage are also addressed. The document recommends road agencies provide consistent guidelines for issues like road works and certification of routes. It suggests road agencies could facilitate more efficient use of networks and optimize infrastructure use as new automated vehicle technologies emerge.
The document discusses autonomous vehicles and their potential benefits and challenges. It defines autonomous vehicles as vehicles that can travel from one point to another without human supervision. It notes that human error causes over 90% of automobile accidents and that autonomous vehicles could help reduce accidents by taking human error out of driving. The document outlines some of the key technologies used in autonomous vehicles, such as LIDAR, GPS, radar, ultrasonic sensors, video cameras, and a central computer. It discusses companies working on autonomous vehicle technologies like Google, Mercedes Benz, and Tesla. It also discusses some of the pros and cons of autonomous vehicles.
This document discusses autonomous vehicles and the companies working on them. It defines autonomous vehicles as vehicles that can travel from one point to another without human interaction. The top companies working on autonomous vehicles are Google, Intel, General Motors, Mercedes Benz, and Audi. Autonomous vehicles use technologies like lidar, radar, cameras and sensors to navigate and detect obstacles without human assistance. They have potential to reduce accidents by eliminating human error.
Connected Cars: Understanding Drivers In A Connected WorldMRS
This document summarizes research from a survey of over 3,700 connected car drivers across several European countries. It finds that while 60% of buyers consider connected car features important, 40% are unaware of their vehicle's connectivity. It also reports that premium brands have achieved higher awareness of connected features than volume brands, but demonstrates room for improvement across brands. Finally, it concludes that safety, navigation and entertainment are seen as the main benefits but that engagement during sales and on renewals can help carmakers better seize the connected car opportunity.
The document discusses car-to-car communication technology. It describes how car-to-car communication allows vehicles to communicate with each other to share information. This can improve safety features like adaptive cruise control and lane keeping assist systems. However, there are also challenges to implementing this technology at scale, such as different communication methods between moving vehicles and latency issues. If fully realized, car-to-car communication networks may fundamentally change how vehicles operate by allowing them to share vast amounts of real-time data.
1) The document discusses connected and automated vehicles and their implications for transportation. It summarizes two types of automated vehicle technology: self-driving vehicles that make autonomous decisions and connected vehicles that can communicate wirelessly.
2) It describes how connected and automated vehicles could improve traffic safety and efficiency by avoiding collisions, optimizing traffic flow, and enhancing capacity. However, these technologies may also influence traveler behavior, land use patterns, and mode choice in ways that are still uncertain.
3) The impacts of automated vehicles will depend on whether they are used as privately owned vehicles or shared through a mobility system. Privately owned automated vehicles could increase vehicle miles traveled and congestion, while shared automated vehicles have the potential for greater
Car-to-car communication technology allows vehicles to broadcast location, speed, and other data to surrounding vehicles within a few hundred meters. This technology, which could be available in cars within 1-2 years, aims to prevent collisions by giving vehicles a more complete picture of the driving environment. It has the potential for a bigger safety impact than advanced driver assistance systems alone. The technology will calculate collision chances 10 times per second as vehicles transmit messages to each other using dedicated wireless spectrum and standards, but it may be over a decade before connected vehicles are common on roads.
The document discusses several smart mobility solutions including:
- Advanced driver assistance systems using LiDAR, depth sensing, and vehicle data exchange platforms.
- Electric vehicles like expandable electric cars that can narrow to fit small spaces and connected folding electric scooters.
- Safety systems like cabin occupancy sensors, distracted driving prevention, and crosswalk safety alerts.
- Security solutions like automotive cybersecurity platforms, driver safety apps, and firewalls to protect connected vehicles from hacking.
Future of intelligent transportation CIO Roundtable 080214James Sutter
Keith Golden presented on the future of intelligent transportation. He discussed the history of key traffic management milestones like signal timing and vehicle detection technologies. Golden explained current signal coordination methods and connected vehicle initiatives like vehicle-to-vehicle and vehicle-to-infrastructure communication. He outlined levels of vehicle automation from driver assistance features to autonomous vehicles, noting predictions but also challenges to widespread adoption. Golden concluded by considering ethical questions around decision making for autonomous vehicles.
Presentation given by Dr. Chandra Bhat during SXSW '14. Dr. Bhat is the Director at the Center of Transportation Research at the University of Texas at Austin.
Carlos Ortiz presented on connected and automated vehicles. He discussed current transportation challenges related to safety, mobility, and the environment. Ortiz then provided an overview of connected and automated vehicle technology, including definitions and levels of automation. He described the FHWA's CV pilot program and various applications of connected vehicle technologies. Finally, Ortiz discussed challenges this new technology may pose to the transportation industry, including changes to planning, policy, workforce, and other areas.
Connected Vehicle 101 - US Department of TransportationAndy Palanisamy
Connected vehicles use wireless communication between vehicles and infrastructure to help prevent crashes, make travel easier, and reduce pollution. All vehicles will communicate anonymously using Dedicated Short-Range Communications to share information about road conditions, traffic, and available services. This technology has the potential to address 81% of unimpaired crash scenarios and provide drivers with warnings to help them avoid collisions.
IoT, Smart Mobility and the need for PositioningtechUK
Presented by Jacopo Ovarelli, External Consultant for European GNSS Agency (GSA) in the techUK Satellite Applications & Services Conference, 2nd Oct. 2015
Autonomous driving revolution- trends, challenges and machine learning Junli Gu
The document discusses trends in autonomous driving, including challenges when big data meets machine learning in cars. It outlines how sensor systems collect big data from cameras, radar, ultrasound and lidar. Machine learning is then used to perceive the real world through techniques like object recognition, 3D scene understanding, semantic segmentation and reinforcement learning. Autonomous vehicles will also need powerful embedded computing and connectivity through vehicle-to-vehicle and cloud networks.
Digital Winners 2014: David Holecek, Volvo CarTelenor Group
Volvo sees connectivity as increasingly important, with 39% of car buyers in 2013 citing in-vehicle technology as a top priority. A connected car fully participates in the networked society through functional connectivity layers, digital ecosystem integration, and apps allowing control and integration with smartphones, infrastructure, other cars, and Volvo services. Volvo's strategy is to make life more enjoyable and save time through new connected benefits, leveraging big data and focusing on drive time, connected life, and maximizing their role in the connected society.
This presentation starts with the current developments from the perspective of the driver. It gives more details ons how the human can be integrated in the automotive design process
The document discusses the history and development of autonomous vehicles. It begins with early prototypes in the 1970s and 1980s, including Japan's first autonomous car that could travel up to 30 km/h. Major milestones are DARPA challenges and demonstrations of road following and obstacle avoidance. The document outlines key technologies required for autonomous vehicles like sensors, navigation, motion planning, and actuation. Short term advantages include reducing traffic and allowing work or rest while traveling. Long term, autonomous vehicles could enable longer commutes, public transit reductions, and decreased emissions. Ethical implications around training, corporate control, and privacy are discussed.
Queensland’s Intelligent Transport Systems (ITS) Pilot ProjectsJumpingJaq
The document discusses a proposed Queensland Intelligent Transport Systems Pilot Project. It aims to pilot emerging cooperative intelligent transport services (C-ITS) and automated vehicle technologies. The project would test C-ITS applications that share safety-related data between vehicles and infrastructure to provide drivers with timely warnings. It would also help advance the understanding of automated vehicles and how they can benefit from expanded sensing through C-ITS. The government sees opportunities in these technologies to improve mobility, safety and the environment. However, there are also uncertainties around impacts to business models, costs, regulations and public acceptance that require further pilot testing and research.
Impacts of Automated Vehicles - Guidance for Australian and New Zealand Road ...JumpingJaq
This document discusses key actions that road agencies can take to support automated vehicles. It identifies considerations around physical infrastructure, such as ensuring consistency of signs, lines, and asset management. Digital infrastructure needs like vehicle localization and cellular coverage are also addressed. The document recommends road agencies provide consistent guidelines for issues like road works and certification of routes. It suggests road agencies could facilitate more efficient use of networks and optimize infrastructure use as new automated vehicle technologies emerge.
The document discusses autonomous vehicles and their potential benefits and challenges. It defines autonomous vehicles as vehicles that can travel from one point to another without human supervision. It notes that human error causes over 90% of automobile accidents and that autonomous vehicles could help reduce accidents by taking human error out of driving. The document outlines some of the key technologies used in autonomous vehicles, such as LIDAR, GPS, radar, ultrasonic sensors, video cameras, and a central computer. It discusses companies working on autonomous vehicle technologies like Google, Mercedes Benz, and Tesla. It also discusses some of the pros and cons of autonomous vehicles.
This document discusses autonomous vehicles and the companies working on them. It defines autonomous vehicles as vehicles that can travel from one point to another without human interaction. The top companies working on autonomous vehicles are Google, Intel, General Motors, Mercedes Benz, and Audi. Autonomous vehicles use technologies like lidar, radar, cameras and sensors to navigate and detect obstacles without human assistance. They have potential to reduce accidents by eliminating human error.
Connected Cars: Understanding Drivers In A Connected WorldMRS
This document summarizes research from a survey of over 3,700 connected car drivers across several European countries. It finds that while 60% of buyers consider connected car features important, 40% are unaware of their vehicle's connectivity. It also reports that premium brands have achieved higher awareness of connected features than volume brands, but demonstrates room for improvement across brands. Finally, it concludes that safety, navigation and entertainment are seen as the main benefits but that engagement during sales and on renewals can help carmakers better seize the connected car opportunity.
The World Financial Symposiums organization hosts conferences and webcasts on technology and business topics. Upcoming events include conferences on growth and exit strategies for software companies being held in Silicon Valley, Vancouver, and Austin in March and April. The organization also hosts monthly "Market Spotlight" webcasts on topics related to technology patents, media and entertainment companies, and security technology. The document provides contact information for the organization and details about an upcoming event focused on connected car technology trends, mergers and acquisitions, and a panel discussion with executives from companies in the space.
The document introduces Lochbridge's Connected Car Maturity Model, which provides automakers a way to assess their connected car programs across four key objectives: loyalty, differentiation, monetization, and quality. It describes solutions that enable each objective and allows companies to self-report their progress to determine their grade. Lochbridge has identified these objectives and solutions as the most important for driving connectivity investments. The model is presented as the industry's first way to score and track connected car efforts and determine which solutions should be prioritized.
The document discusses the growing connected car ecosystem. By 2020, there will be 69 million connected cars on the road, equivalent to 75% of all cars globally. This has created new partnerships between automakers, tech companies, and other businesses. Connected cars will offer new conveniences like infotainment, navigation, and in-vehicle payments. Major automakers like BMW are developing open platforms and partnerships to expand the ecosystem and meet changing consumer needs. The connected car market is still emerging but will bring new opportunities as the technology develops.
Neville Hobson presented on the connected car and artificial intelligence. He discussed how digital disruption through technologies like the internet of things is transforming businesses and entire industries. Specifically, he focused on how the automotive industry is being disrupted by new mobility models, empowered consumers, and self-driving vehicles. Hobson argued that to stay competitive, automakers must apply analytics, cognitive capabilities, and custom digital experiences to better understand and serve tomorrow's drivers.
The document discusses OBD-II (On-Board Diagnostics II) systems, which provide vehicle owners and technicians access to vehicle subsystem status. It covers the types of vehicles that use OBD-II, common adapter types like USB, Bluetooth, and WiFi, and applications for fleet management and personal vehicle maintenance. It also provides information on the ELM327 microcontroller that translates the OBD interface, common tasks like reading diagnostic trouble codes, and developing mobile apps to interface with OBDII systems.
Ed Adams, CEO of Security Innovation, along with Brian Witten from Symantec address the trade-off between safety, security and convenience as well as the steps that need be taken by manufacturers before we can trust our the new IoT ecosystem to deliver the promised benefits of connected services.
The Connected Car: The Next 500 Million Connections (Mobile Broadband Event)Lucy Woods
Here are a few slides taken from our Mobile Broadband Special Interest Group (SIG) event on the 6th April at St Johns College, Cambridge. For all slides, please head to our resources page on our website. www.cambridgewireless.co.uk
Connected Car as New Marketplace SxSW 2016Jason Hoover
This was a SxSW 2016 talk that Michael Simmons and Jason Hoover gave on the topic of how technology is taking the connected car and turning into a new marketplace.
Driving digital transformation in Automotive industryDebashis Majumder
This document discusses SAP's next-generation business suite, SAP S/4HANA. It highlights how SAP S/4HANA can help automotive companies simplify their technology landscape and business processes. Key benefits include reducing the total cost of ownership, increasing user productivity, and accelerating execution. The document also outlines SAP's roadmap for the automotive industry, including innovations in areas like material requirements planning, inventory management, and the universal journal. It positions SAP S/4HANA as enabling transformation for automotive companies by simplifying technology, transforming business processes, and empowering the business.
Connected Cars Are the Next Must Have Consumer Electronics DeviceCisco Jasper
The focus of connected services by car manufacturers lately has been building out the connected services suite. The next transformation of services won’t be in the services themselves but in the business models of offering the services. If the car is to become a true consumer internet device, it will require real internet style monetization models.
In this talk, Mark Thomas, head of connected car product marketing for Cisco Jasper, explores internet monetization models, the infrastructure needed to monetize internet style and also learn about the vocabulary a vehicle knows when it’s an always on connected IoT device.
This document discusses connected car security threats and potential mitigation strategies. It provides an overview of hacks that have targeted connected vehicle systems. It also summarizes the SPY Car Act legislation which aims to establish cybersecurity and privacy standards for connected vehicles. Finally, it discusses some strategies for securing connected vehicle systems, such as implementing vehicle system security, vulnerability testing, data security, and attack mitigation capabilities.
This document discusses the challenges of over-the-air (OTA) updates for connected cars. It notes that while OTA updates are common for mobile devices, they are more complex for cars which have over 100 electronic control units (ECUs) from multiple vendors and evolving software. An OTA platform is proposed to intelligently manage updates across this heterogeneous environment through features like adaptive delta compression, a message bus, and support for various vehicle networks and file formats. The platform aims to standardize OTA updates for cars in a way that is scalable, secure, and handles the large sizes and dependencies between vehicle software components.
This document discusses cyber security challenges for connected cars. It notes connected cars have multiple attack surfaces through the internet, cloud, communication with other cars, and in-car systems. The document advocates for a layered security approach, including boundary security, transport-level security, and fine-grained data-centric security. It describes using Real-Time Innovation's Connext DDS Secure product to implement fine-grained security at the individual data topic level to control access and ensure proper system operation in a secure manner.
Vector red bend_webinar_flashing_over_the_air_and_delta_technology_20140121_enRed Bend Software
Red Bend and Vector show the benefits of using Delta and Over-the-Air Technology for re-programming ECUs. The participants receive lots of information about the used technologies and the optimisation possibilities for re-programming. The webinar is rounded off by the presentation of the products used.
Connected Car Security and the Future of Transportation Liz Slocum
My slides about connected car security and the future of transportation that I presented to the Cloud Security Alliance, IoT Working Group on July 28, 2016.
The document discusses Alexa's integration with connected cars. It provides examples of Alexa skills for Hyundai and Ford cars that allow remote control of vehicle functions and integration with smart home devices. It then describes how to build an Alexa skill using the Mojio API to access vehicle data and report road incidents. The document also covers the state of artificial intelligence, the future of connected cars, and privacy concerns regarding voice assistants in vehicles.
Avis White Paper - The Evolution of the Connected CarZara King
The document discusses the evolution of connected car technology and its potential to transform the car rental industry. It provides perspectives from industry leaders on opportunities and challenges with connected vehicles, including improved customer experiences through mobile apps, new mobility services, issues around data usage and security, and liability concerns regarding autonomous vehicles. The connected car is presented as having the power to revolutionize not just car rental, but also related industries like insurance and telecom through innovative uses of vehicle data.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
National University of Singapore students presented on autonomous vehicles, including their evolution, enabling technologies like sensors and connectivity, infrastructure needs, and entrepreneurial opportunities. Key points discussed include autonomous vehicles producing large amounts of data, 5G enabling low latency required for applications, dedicated lanes and platooning potentially increasing road capacity, and autonomous vehicles reducing fuel costs, traffic, and accidents while creating new business models.
Autonomous vehicles utilize artificial intelligence, computer vision, and advanced sensors to drive without human input. Connected vehicle technologies allow vehicles to communicate with each other and infrastructure for improved safety, traffic flow, and fleet management. Electrification of vehicles and expansion of charging infrastructure are needed to transition to more sustainable transportation. Shared mobility services enabled by connectivity and automation can reduce vehicle ownership and promote more efficient use of transportation resources.
This document discusses the progress and challenges of autonomous vehicle technology. It covers major milestones like the DARPA Grand Challenges, Google's self-driving car project, and NHTSA's levels of vehicle automation. Key challenges discussed include weather, testing and certification, transferring control between autonomous and manual modes, legal issues, hacking vulnerabilities, and privacy concerns. The document also examines technologies like sensors, localization, mapping, and control systems that enable autonomous functionality.
Creating a Safer, Smarter ride - NFV for AutomotiveTrinath Somanchi
While NFV and SDN have showcases their potential in cloud Data centers, experts are looking to bring its expertise for creating a secured safer smart ride through the integration of vehicle-vehicle and vehicle-infrastructure communications which create smart locales. Today we have understood the requirements and networking involved to realize centralized and distributed clouds to support customer premise services and IIoT. But we have a partial gain from these technologies. To unlock the real potential of Edge networks, the Automotive industry is moving towards integrating ADAS and intelligent roadside infrastructure with Cloud Edge and NFV technologies to create a Safer and Smarter Ride.
This presentation showcases on NFV for Automotive to create safer and smart ride.
Smart infrastructure for autonomous vehicles Jeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economic feasible. They are becoming economically feasible because the cost of lasers, ICs, MEMS, and other electronic components are falling at 25 to 40% per year. If the cost of autonomous vehicles fall 25% a year, the cost of the electronics associated with autonomous vehicles will fall 90% in 10 years. Dedicating roads to autonomous vehicles is necessary to achieve the most benefits from autonomous vehicles. While using autonomous vehicles in combination with conventional vehicles can free drivers for other activities, dedicating roads to autonomous vehicles can dramatically reduce congestion, increase speeds, and thus increase the number of cars per area of the road. They can also reduce accidents, insurance, and the number of traffic police. These slide discuss the use of wireless technologies for the control and coordination of autonomous vehicles. Improvements in bandwidth, speed, and latency (delays) along with improvements in computer processing are occurring and these improvements are making dedicated roads for autonomous vehicles economically feasible.
This document discusses the future of autonomous vehicles and self-driving cars. It outlines 4 phases of autonomous vehicle technology, from basic safety features to fully driverless vehicles. It also discusses the technologies required for autonomous driving like lidar, radar, cameras and GPS. The document covers system integration and architecture challenges, human factors, infrastructure requirements, societal impacts, legal issues, and obstacles to widespread adoption of self-driving cars like software reliability and liability.
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.
Urban mobility refers to how people and goods move through cities, which faces challenges due to population growth, congestion, environmental impacts, and public safety issues. As urban populations increase, cities are under pressure to improve mobility. Smart city technologies are helping cities collect and analyze data from traffic signals, cameras, and other sensors to better manage transportation systems, reduce congestion and pollution, and enhance public safety. Connected vehicle models using vehicle-to-infrastructure, vehicle-to-vehicle, and other data connections also aim to improve safety and efficiency of transportation.
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/
Most cars are now equipped with intelligent assistance systems. However, the connection of vehicles to each other, to traffic lights, congestion warning systems and infrastructure is still in its infancy. Connected Mobility is a key future market that holds many pitfalls. In this regard, the automotive sector can benefit from the methods of Corporate Foresight.
The document discusses smart cities and future urban mobility and transport. It covers several topics: (1) drivers of change in cities like population growth and new technologies; (2) digital strategies used by cities to become smarter; (3) whether technology can truly improve quality of life. It also discusses transport changes like autonomous vehicles and how they could impact safety, efficiency, and challenges. The conclusion is that managing urban populations is complex, but new transport technologies may help address issues if deployed equitably.
This document discusses connected cars and their technology, benefits, and future opportunities. Connected cars are equipped with internet access and connectivity to external networks. This allows access to applications through the car's screen and a more advanced driving experience. The document outlines the early models of connected cars focusing on navigation and emergency assistance. Current connected cars allow constant connectivity like a smartphone on wheels. The future possibilities include cars that can suggest destinations, find parking, and even drive autonomously. However, challenges exist around IT security, ethics regarding autonomous vehicle decision-making in accidents, and legal/regulatory issues around responsibility and control.
All throughout APAC the landscape is changing and presenting a need for smart mobility. Read more in detail to learn how businesses can seize opportunities with the right IT strategy and the right partnership.
Intelligent transportation system based on iot service for traffic controlMahmudulHasan474
This document discusses the development of an intelligent transportation system based on IoT to help control traffic and reduce congestion. It proposes a system that would use sensors and real-time data collection to monitor traffic conditions and automatically adjust traffic light signals accordingly. This is aimed to improve traffic flow and reduce time wasted in traffic jams. The system would collect data from vehicles and sensors around roads to analyze traffic patterns and control lights based on current traffic density to minimize congestion in a smart, dynamic way.
1) The presentation discusses how disruptive technologies will impact urban mobility and deliver innovative solutions to support smart cities.
2) It outlines challenges like increasing traffic, costs of congestion, and emissions, and opportunities from technologies like mobile internet, IoT, cloud computing and autonomous vehicles.
3) The presentation argues that integrating data from networked infrastructure can optimize operations through predictive analytics and transform conventional approaches to mobility.
An autonomous car is a vehicle capable of sensing its environment and operating without human involvement. A human passenger is not required to take control of the vehicle at any time, nor is a human passenger required to be present in the vehicle at all.
This paper talks about the role connectivity plays in automotive industry, and the influence of 5G on enabling the next generation of "In Car Experiences"
Over-The-Air Care @ Connected Car Expo.Mahbubul Alam
The autonomous vehicle faces many challenges on the road to full autonomy. While semiautonomous features are beginning to appear, fully driverless cars will take time due to the difficulty of teaching vehicles to safely handle complex traffic situations. Updating vehicles continuously via over-the-air software will also be critical. Startups are helping to advance connectivity and mobility solutions in new ways, with 10 highlighted for their innovative potential to transform the industry.
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/
This document discusses ongoing research projects related to collaborative sensing and heterogeneous networking leveraging vehicular fleets. Specifically, it discusses:
1) How increased cluster density of vehicles improves overall data rates and reduces variability in individual user rates.
2) Modeling what collaborative sensing systems can "see" or be aware of in obstructed environments and how coverage benefits scale with increased penetration of collaborative vehicles.
3) Developing optimal information sharing policies to maximize situational awareness for autonomous nodes in resource-constrained network environments.
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.
This document discusses modeling strategies for autonomous and connected vehicles. It proposes modifying traditional four-step transportation models to account for autonomous vehicle adoption rates and different trip types. Autonomous vehicle passenger car equivalents and flow ratios are modeled based on vehicle speed, market penetration, and other factors. The document also describes plans for a 4G deployment test bed to demonstrate connected vehicle technologies on managed lanes in Dallas-Fort Worth and Virginia.
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.
Professor Robert W. Heath Jr. is the director of UT SAVES (Situation-Aware Vehicular Engineering Systems), which combines expertise in wireless communications, signal processing, and transportation research. UT SAVES collaborates with automotive companies like Honda R&D Americas on projects involving sensing, communication, and analytics for applications such as automated driving. Membership provides access to UT SAVES research and facilities, including graduate research assistants and experimental capabilities in areas like millimeter wave communication and sensor fusion. Current research projects focus on cooperative sensing, vehicle-to-everything communication, and applying 5G cellular networks to driving assistance technologies.
The Business Advisory Council meeting covered the following topics in 3 sentences or less:
The meeting covered updates on education and workforce development programs at the Engineering Education and Research Center including summer internships and distinguished lectures. Research updates were provided on 30 completed projects and 18 ongoing projects covering topics like connected corridors and autonomous vehicles. New proposed research was presented on topics such as video data analytics, traffic signal optimization, and modeling willingness to share trips in autonomous vehicles.
The document discusses managing mobility during the design-build reconstruction of the Dallas Horseshoe highway interchange project. It describes the project's high traffic volumes and constraints. It highlights the contractor's successes in maintaining access and maximizing work during limited closures. It stresses the importance of collaboration between the agency and contractor in developing traffic control plans and finding solutions to difficult situations.
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Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
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The Connected Car: Impact on Wireless Communication
1. HUAWEI TECHNOLOGIES CO., LTD.
The Connected Car
Impact on Wireless Communication
Murali Narasimha
Senior Staff Engineer
Huawei Technologies
2. Driving today
• Traffic Congestion in the US±
› 6.9 billion hours stuck in traffic
› Extra 3 billion gallons of fuel
• Accidents±±
› Over 37,000 people die in road crashes each year in the US (1.3
million worldwide)
› Road crashes cost $230.6 billion per year in the US, or about $820
per person per year
• Traffic tickets
› 78 people get a speeding ticket every minute
Congested Roads and Infrastructure that are not keeping up
Not much room for (human) driver behavior improvement
±2015 Urban Mobility Scorecard, Texas A&M Transportation Institute
±± Association for Safe International Road Travel
3. Driving Automation Trends
• Semi-autonomous Driving
Arrives, Feature by Feature±
– Adaptive Cruise control
– Emergency braking
– Blind spot detection
– Lane drift detection
– Drowsy driver warning
• Commercially available:
– “Autopilot” - Tesla
– “Pilot Assist” for Traffic jams –
Volvo
– “Active safety” – Audi
– “Super Cruise” – Cadillac
– ...
± The New York Times, April 2015
4. Connecting Cars for Safety and better
traffic management
“It’s important for safety and
functionality that car-makers
move to a connected
philosophy … It’s kind of odd
to have a computing device
that’s not connected.” – Elon
Musk
5. Improving Safety – an example
Avoiding collision requires:
1. Detecting approaching
vehicles, pedestrians
2. Determining likelihood of
collision
3. Providing timely message
to vehicles of impending
collision
Sensors (Cameras, Radar
etc) and communication
equipment needed at or
near intersection.
6. Improving Traffic Flow – an Example
• Each vehicle requests
permission to enter
• Server checks for
possible collisions
• Accepts if no
collisions; rejects
otherwise.
Illustration from: Autonomous intersection management project, UT Austin
7. Applications enabled by Connectivity
• Seeing through large vehicle
• Seeing past curve
• Bird’s eye view
• Cooperative Collision
Avoidance
• Automated Overtake
Robust communication
between vehicles and
Infrastructure is needed
8. Infotainment – Living room on wheels
• With or without automation,
vehicles increasingly demand
high bandwidth
communication
– Entertainment
– Mobile office
– Augmented reality
9. The Infrastructure perspective: What
is different about connected cars?
• High Data rates and support of high mobility
for dense populations of vehicles
– Applications demand high data rate (See
through, Birds eye view, Infotainment)
– Very high proportion of fast moving connected
devices that are often densely packed
• Need for very short communication latency
– Safety applications rely on fast communication to
make life saving decisions
10. Shortcomings of current technologies
• Dedicated Short Range Communication (DSRC)± ±±
– CSMA/CA does not perform well when load increases
• Cannot guarantee reliability and low latency
– Hidden nodes can be a major problem for vehicles moving in urban
settings
– Difficult to synchronize access points
• Results in inter-cell interference
– Security and authentication require separate (new) infrastructure
• LTE Macro Cellular deployment
– Difficult to support consistently high data rates demanded
– Difficult to meet communication latency requirements
– Precise positioning of vehicles in urban settings is difficult
• LTE Proximity Services (ProSe)
– Difficult to guarantee reliable connectivity when both end-points can be
moving
– Insufficient discovery speed to address some scenarios (e.g., vehicles
approaching an intersection from different directions in an urban canyon)
±“Novel issues in DSRC Vehicular Communication Radios,” Y. Morgan, IEEE Canadian Review, Spring 2010.
±± “An Overview of the DSRC/WAVE Technology,” Y. Li, DSRC 2010, Huston, TX, USA, November 17-19, 2010.
11. Connected Cars and 5G
• One ring to rule connect them all
– 5G will be a wireless technology that supports a wide
range of vertical industries
12. (Chatty) Autonomous Vehicles
“The autonomous car doesn't
drink, doesn't do drugs, doesn't
text while driving, doesn't get
road rage. Young, autonomous
cars don't want to race other
autonomous cars, and they
don't go to sleep.” – Bob Lutz,
GM.
• Communication can enable sharing of sensor and other information (“Seeing with many
eyes”)
• Communication infrastructure can be placed with transportation infrastructure (e.g., traffic
lights) along with sensors (cameras, radar etc)
– Less reliance on hard to generate 3D maps
– More accurate positioning of vehicles
– Reduced sensor burden at vehicles… less $$
– Better traffic flow
“… our goal was a vehicle that could shoulder the
entire burden of driving. Vehicles that can take
anyone from A to B at the push of a button could
transform mobility for millions of people, whether
by reducing the 94 percent of accidents caused by
human error, reclaiming the billions of hours
wasted in traffic, or bringing everyday destinations
and new opportunities within reach of those who
might otherwise be excluded by their inability to
drive a car.” – Chris Urmson, Google.
13. Summary
• Automation in driving is already
happening
– Motivated by improved safety
• Fully automated driving with
efficient traffic flow management is
the holy grail
– But automation will occur in phases
leading to full automation
– Each successive phase needs more
communication capabilities
• A New generation of Wireless
Communications Technologies and
Deployments are needed to meet
the demands
– Deeper integration of
communication and transportation
infrastructure