data: driving transport of the future - cambridge wireless...2018/10/11 · direct user data: waze...
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Data: driving transport of the future
Presented by
Llewellyn MorganHead of Innovation, IHub, Oxford County Counciland Co-founder of Smart Oxford
Data: Driving Transport of the Future
Llewelyn Morgan –Head of Innovation Oxfordshire County Council
Llewelyn.morgan@oxfordshire.gov.uk@llewelynmorgan
Intelligent mobility
•
Innovation in Transport
• Creating an ecosystem of innovation
• Oxfordshire Living Laboratory
Multiple lead deliverers and project partners – consortium approach to project delivery and funding
Intelligent mobility
• Optimised movement of people irrespective of mode
Key infrastructure Improvement
• Improve connections between key locations along the knowledge spine
Key route and service
enhancement
• Improve connections between key locations along the knowledge spine
SCIENCE TRANSIT ADOPTED AS PART OF LTP4 2015
Partnership and Procurement for better data & analytics
• First Authority to use mobile data to build a Strategic Transport Model
• Through MobOx interrogated mobile data to give insights into movement patterns.
• Completed a number of projects to look at mobile data
• Current path – Using Fixed Cameras – IOT movements sensors to validate mobile/floating data
• Surveying the roads and pavements; asset management & maintenance
• What if every Refuse Collection Vehicle in the city was fitted with sensors… mapping and data collection like no other city
• Commercial value
• Replication and scalability
Oxford and Oxfordshire as an AV Living Lab
Project by Smart Oxford led by Oxford City with ORI – Lidar imaging
Mobile derived dataThrough MobOx part of Better cities project to explore opportunities of Google data
OII – Interpreting Google/mobile/Social media for movement insight
Direct User Data: Waze – CCP partnership
Mapping WAZE data – ESRI tools
Where are we now in Oxfordshire.
• This work is influencing day to day processes
• Street Lighting procurement £40m investment being used to leverage an • Open access IOT network, • RT Data from columns - Movement, AQ, EV use, parking etc. • 5G investment opportunities.
• Delivered Outcome approach to Infrastructure design – open challenges to Industry to look at how Technology and data can better manage a key corridor
• Looking at next generation Traffic Management • RT data will provide opportunity to look at predictive approach • Manage the queues before they arrive – reduce network shock • System ready for AV’s and associated systems e.g. dynamic insuring/charging per mile
Innovation Partnership Procurement in October 2018
Allows for R&D round by private sector, funded by OCC, to determine direct procurement route.
The Challenge –
• Step change in modelling
• Multi-scenario runs in short time
• More Agent based • Multi-modal (Including Walking and Cycling)
• Simpler to add completely new modes
• Easy to use front end for users
• VR outputs for consultation and interaction
• Build towards RT update and wider network management tool.
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