Track: Connected Transport

The rapid evolution of mobility platforms and transportation is creating new and serious business and technical challenges driven by the expected Peta and Zetta scale data capture and processing. The new complex ecosystems enabled by AI and Industrial IoT will need to manage this information alongside relevant metadata to offer ways to support the key stakeholders and monetize their services. Other challenges include regulatory and data protection compliance. This workshop will cover the challenges and explore solutions and state of the art research addressing current business and technical limitations.

This moderated, yet totally unscripted, panel of participants will interact heavily with the audience to discuss the newest trends, previous successes and failures, and future of IoT as it relates to Connected Transportation. Attendees in the session can prod for practical aspects around engaging in new IoT technology, developing IoT adoption models, and what to watch.

Vehicle fleet operators are now commencing a move towards zero emission electric vehicles. However, this creates substantial challenges for electricity networks to provide the necessary supply capacity. This can result in potentially high costs and delays to the operators' zero emission roll-out. This session will explore Optimise Prime, a 33m project to address the challenges for fleet operators and electricity networks, arising from the electrification of vehicle fleets. Hear how the program has brought together technology suppliers, vehicle fleet operators and electricity networks to utilize big data, IOT and optimization technologies to determine the impact on fleet and network operators on the move to EV, the role of IOT & data-driven forecasting and optimization to minimize the costs of this transition, and the future smart infrastructure requirements to support the EV roll-out. 

In this session we will share insights from an innovative mission-critical edge solution for connected trains. Learn how we are achieving  realtime data transport and synchronized data states across edge nodes, and monitoring and analysis along railways tracks to enable all kind of new use cases. In the case study we will present all the challenges we faced during the project and how we overcame them.

France's public rail company, the Société Nationale des Chemins de fer Français (SNCF) has a keen focus on innovation. The company manages the scheduling, operations and maintenance of a network covering 30,000 km of track, 15,000 trains and 3,000 stations in France. This session highlights the journey of migrating from preventive maintenance to current IoT predictive maintenance using non-intrusive mobile sensors and deep-learning algorithms to detect alerts and predict diagnosis and consequences. SNCF has set up a Digital Open Lab (DOL) to foster open innovation and develop interest from the Industry. After one year of the DOL, results are encouraging. Meanwhile, the maturity of the IoT technology and the ROI of the use case will be presented. Discover how, by life observation and predicting maintenance requirements, SNCF can have a more efficient supervision, and prevent outage on the network.  

Connected & autonomous vehicles will generate zettabytes of data and collect just as much from their surrounding environment. In fact, some of the data that should arguably be publicly accessible can help create products and services such as improved brakes that may eventually become standard. Creating cost-effective ecosystems is key to achieving the highest ROI. In this session, we will explore what data should be stored in the vehicle, the cloud, the edge, or at a data center; how data is collected from other vehicles, infrastructure, and the environment through sensors; and how to set up data management systems to collect, index, and tag the data to aid analysis and support AI workloads. We will consider different scenarios, such as using black box systems vs. allowing small data sets that can be translated to stakeholders such as governments and other organizations.

Due to the automotive industry's deep penetration into modern society, new technologies such as electrification, autonomous driving, and connected vehicle are advancing automotive capabilities at a dizzying rate. We explore how these technologies evolved in automotive and what considerations are important going forward. On the flip-side, there are concerns related to the safety of these vehicles, as well as their reliability, due to the rapid innovation and technological adoption. Concerns around the security, privacy, and resilience of these new vehicles abound. This panel of experts explores the evolution of automotive up through today, the impact of IoT on the vehicles, and what considerations may be important going forward. What are the impacts of technology on the reliability of the vehicles? How do the evolving privacy considerations come into play? This panel includes and OEM, a Tier 1, and an Insurance panelist. The panel will be quite interactive with the audience.

With the explosion of IoT and connected devices, real-time location intelligence is critical for unlocking deeper actionable insights. Learn how companies are partnering to create mobility ecosystems that deliver the next generation of mobility solutions and location intelligence. Attend this session to hear all of the latest information on connected vehicle platform and maps capabilities, partner use cases of traffic analysis, fleet management, private and indoor mapping, electric vehicle charging, public transit services & smart city management.

With an ever-increasing number of “things” connecting to the Internet, we now have access to an overwhelming amount of data – especially location data. Whether your “things” are fixed sensors on a factory floor or mobile devices such as vehicles or drones, spatial context is critical for unlocking insights and providing actionable business value. The Location of Things (LoT) represents the new market opportunities that are unlocked from harnessing real-time contextual and proximity intelligence in IoT applications. With scenarios spanning indoor mapping, vehicle management, asset monitoring and much, much more, understanding the insights your location data can provide has never been more critical to developing next-generation IoT solutions. 

This session will explore visible light communication, considered as a potential secondary channel for 5G wireless communications, and gaining extensive attention. Discover how VLC has strengths in energy efficiency and ultra-wide bandwidth, but also has weakness in transmission range and obstacles in transmission paths. This session discusses VLC as a part of resilient 5G wireless communication in transportation systems.

Safe, simple and secure, edge-to-cloud connectivity "Takes a Village" beginning with a strong foundation of identity and trust, renewable, throughout the life-cycle via secure updates & automation. In this talk, we'll explore a case study of DevOps friendly methods and tool-chains needed. Enabling connected commercial vehicles presents unique new challenges for cyber-security, as the attack surface expands and the results of compromise become highly valuable to attackers. The presenters combine tools and techniques to resolve this challenge and share their approach, with security, agility, and scale ideal for IIoT solutions providers and systems integrators. 

This session will explore the use case of digitally transforming the bicycle and motorcycle experience by connecting vehicles to a smartphone.  Discover how the implmentation of this technology resulted in a new revenue stream + reduced customer churn for Vodafone.