WORKSHOPS
12 NOVEMBER 2020 Day 2
Increasing cyber security resilience
Minimising the risk of widespread disruption
Incorporating both safety and security into future transportation systems through design and testing phases
CyRES - a methodology for ensuring resilience in the operation of transport systems
Addressing diminishing returns on security investment
Diversity in engineering as a principle to prevent catastrophic failure
Speaker: Professor Carsten Maple, University of Warwick's Secure Cyber Systems Research Group
12 NOVEMBER 2020 Day 2
Maximising the potential for blockchain
Facilitating collaboration and creating automated interoperability
How blockchain can make an open ecosystem for MaaS a reality and open up new business models
Facilitating data sharing between stakeholders with blockchain for greater collaboration between competing providers
Lower costs with blockchain to make the process faster and increase efficiencies
Blockchain to enable transactions that can be easily audited and traced
12 NOVEMBER 2020 Day 2
Superfast battery charing
Innovation: faster charging, safer, longer lasting and more recyclable
Enabling energy to be safely transferred to EVs in a very short period of time
Patented advanced nano-structured carbons, a proprietary ionic electrolyte and improved fabrication techniques for enhanced energy density
Speaker: Stephen Voller, CEO & Founder, ZapGo
12 NOVEMBER 2020 Day 2
Implementing AI for planning & Modelling
AI in urban planning for sustainable mobility
Managing existing transportation infrastructures on a sustainable basis
Implementing AI to test how MaaS, innovation and new theories can leverage existing infrastructure
Using AI to ensure productivity and mobility by testing alternative mobility options Improving usage of existing infrastructure, with smarter, greener, safer, and more efficient technologies, linking rail, ground, air and urban transport
12 NOVEMBER 2020 Day 2
Machine learning for self-drive cars
Safety, testing, new regulation and building consumer confidence
Understanding public opinion about AVs
Addressing safety concerns and ensuring that testing is comprehensive at every stage of development
Understanding the role of machine learning currently used in the development of self-driving cars?
What governance approaches are likely to maximise the public value of AVs?
12 NOVEMBER 2020 Day 2
Adding value to mobility data
Promoting re-use, advanced analytics and data models
Creating innovative solutions for societal challenges, based on data: innovating mobility through a unified data and platform approach
Expanding the volume, velocity and variety of data
related to transport and mobility
Standardising data with globally unified data formats, and defined forms of real-time data standards
Addressing public concerns over personal data privacy
11 NOVEMBER 2020 Day 1
Case Study: AI in Mobility
Learning lessons from implementation of AI
Combining data, AI and autonomous vehicles to create an urban mobility solution
Artificial Intelligence providing strategic insight and facilitating integration of transport systems
Creating a rich set of real time data analytics through AI
Connecting AI technology with signals to provide a real-time demand-responsive signaling system
11 NOVEMBER 2020 Day 1
Case Study: 5G in Milton Keynes mobility
5G - using the capability at a city level to deliver transport/mobility solutions
Combining data, AI and autonomous vehicles to create an urban mobility solution
Artificial Intelligence providing strategic insight and facilitating integration of transport systems
Creating a rich set of real time data analytics through AI
Connecting AI technology with signals to provide a real-time demand-responsive signaling system
Speaker: Brian Matthews, Director of Strategy and Futures, Milton Keynes
11 NOVEMBER 2020 Day 1
Implementing AI for planning & Modelling
Using AI in urban planning for sustainable mobility
Managing existing transportation infrastructures on a sustainable basis
Implementing AI to test how MaaS, innovation and new theories can leverage existing transport infrastructure
Using AI to ensure productivity and mobility by testing alternative mobility options instead of increasing service capacity
Improving usage of existing infrastructure, with smarter, greener, safer, and more efficient technologies, linking rail, ground, air and urban transport towards a truly seamless multimodal future.
11 NOVEMBER 2020 Day 1
Urban public transport: Measuring performance
Interactive maps to visualize performances of public transport and test new scenarios
Visualize performances of city transport with interactive maps
Measuring inequalities distributions of public transport accessibility
Quantitative planning supports
Participatory planning using interactive maps
Speaker: Indaco Biazzo, Polytechnic, University of Turin and citychrone.org
11 NOVEMBER 2020 Day 1
Masterclass: Testing positioning data
Optimising gains through positioning of technology
Benefits for autonomous and semi autonomous vehicles
Optimising public transport with positioning data
Hyper-precision and its impact on data gathering