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

LIDAR map of Cornmarket

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.