West Northamptonshire Council (WNC) commissioned City Science to assess the carbon impact of its forthcoming Local Transport Plan (LTP) to delivering its 2045 net zero ambition. City Science was ideally
West Northamptonshire Council Local Transport Plan Carbon Assessment Read More »
City Science was commissioned by England’s Economic Heartland (EEH) to develop a Transport Strategy Evidence Base Report to support their refreshed Transport Strategy. The Evidence Base Report aimed to provide
EEH Transport Strategy Refresh Evidence Base Read More »
City Science secured funding from Innovate UK to advance Phase 2 of our AI for Mass Model Automation with the University of Exeter. In Phase 1, we demonstrated the feasibility
AI for Mass Model Automation: Phase 2 Read More »
City Science was appointment by Thurrock Council to develop a ground-breaking, multi-modal strategic transport model. The model will ultimately support the emerging Thurrock Local Plan in a way that maximises
Thurrock Multi-Modal Strategic Transport Model Read More »
As part of an Innovate UK initiative in 2020, we set out to deliver a scalable innovation based on new open datasets providing a consistent national analytical framework and MaaS
Mobility as a Service for Behaviour Change & Decarbonisation Read More »
City Science was commissioned by England’s Economic Heartland (EEH) to help them understand how to develop their analytical capability, including how they can make use of the Common Analytical Framework
England’s Economic Heartland: CAF Ready Read More »
With funding from Innovate UK, together with the CCAV (Centre for Connected and Autonomous Vehicles), City Science was tasked with assessing the feasibility and benefits of a physcially segregated self-driving
Dedicated Driverless Spaces for Mass Transit (HERT) Read More »
Utilising Innovate UK funding and working in collaboration with the University of Exeter, our model is leveraging innovative techniques, including AI technologies, to automate and enhance model development processes. Chair
In collaboration with Somerset Council, City Science received Innovate UK grant funding to undertake research into rural connectivity and mobility in their region. This initiative was part of the “Net
Revolutionising Rural Connectivity Read More »
City Science was commissioned by Greater Cambridge Partnership to provide Cambridgeshire County Council a technical delivery roadmap for recommended enhancements to their network management systems, as well as setting the
City Science successfully secured funding from Innovate UK to develop a novel suite of tools for automating transport model development. This commission was carried out in collaboration with the University
AI for Mass Model Automation Read More »
City Science, in partnership with the University of Exeter, was awarded funding from Innovate UK to develop an end-to-end process for the automated production of transport models from open data
Automated Transport Model Build Read More »
Our City Science led consortium has secured funding from Innovate UK to embark on an ambitious research project: Computational Rationality for Distributed Airborne Delivery (GUAVA). This project develops a system
GUAVA: Computational Rationality for Distributed Airborne Delivery Read More »
City Science was commissioned by England’s Economic Heartland to develop a flexible Working from Home propensity model to evaluate the capacity impacts of demand and mode share changes across the
England’s Economic Heartland: Propensity to Work from Home Read More »
West Midlands Combined Authority (WMCA) had responsibility for Transport Modelling & Data Management for the 2022 Commonwealth Games (CWG) held in Birmingham. These responsibilities include the provision of journey time
Data Management for Extensive Scenario Analysis – West Midlands Read More »
City Science transport modellers were part of a consortium commissioned by National Highways to consider the Future of Modelling. Our Work The study conducted through a Horizon Scanning process, considered
Future of Modelling Read More »
City Science was commissioned by Mott Macdonald (on behalf of Liverpool City Region Combined Authority) to develop the Liverpool City Region Walking & Cycling Model, to provide a better representation
Liverpool City Region Walking & Cycling Model Read More »
City Science delivered a Transport & Parking Study for Milton Keynes Council focussed on the Central Bletchley area that supported the vision set out in the Central Bletchley Prospectus: “a
Central Bletchley Transport & Parking (Study, Business Case & Microsimulation) Read More »
City Science was commissioned by Cornwall County Council to provide a comprehensive mode choice and trip demand forecasts for Truro, to understand trip demand scenarios through to 2030 and to
Spatial Demand & Modelling to Inform Development in Truro Read More »
Oxfordshire County Council wanted to explore emerging technology opportunities which harnessed the potential of upgrading the quality and range of digital data used to modernise its Traffic Network Control Centre.
Oxfordshire Traffic Management for New Mobility Read More »
City Science was commissioned by WSP to provide evidence to Somerset County Council on the different mitigation options available for the A38 Creech Castle Junction Improvements Scheme. The scheme aimed
Toneway Traffic Management Modelling Read More »
City Science, in partnership with Veitch Lister Consulting, are proud to announce our appointment by Thurrock Council to develop a ground-breaking, multi-modal strategic transport model.
Thurrock Strategic Multi-Modal Transport Model Read More »
During this Geospatial Commission and Innovate UK funded project, City Science developed a model of road freight movements within the UK. This national freight model will help provide an understanding
National Freight Model Read More »
Competition Brief The Roads for the Future competition sought innovative and creative ideas on how to deliver a world-class road network in the UK ready for connected and autonomous vehicles
Roads for the Future Read More »
With 466 parish, district, county, unitary and metropolitan councils now having declared a Climate Emergency, there is now a huge desire at a local level for decisive climate action. As
Transport Decarbonisation Tool for Local Authorities Read More »
Sudden changes to lockdown restrictions during COVID-19 has made 2020 an extremely challenging year for the local high street including bakers, cafes, restaurants and charities in their fight for survival.
RUSH Delivery Route and Scheduling Tool Read More »
Project Outline City Science was awarded a Department for Transport Innovation Grant (T-TRIG) to utilise their modelling expertise to develop a toolkit that enables Local Authorities to identify, quantify and
Quantifying Network Resilience Read More »
Client Brief Somerset County Council and Sedgemoor District Council required a cost-effective mechanism to test freight scheduling options on key routes around Sedgemoor. Understanding the key impacts of HGV movements
Transport modelling based on PNT data Read More »
Project Brief City Science were asked to study transport modal choice and patterns in the Greater Exeter Region, in order to identify opportunities for modal shift and targeted sustainable transport
Applications of Mobile Data Read More »
Project Brief As part of Exeter City Futures’ bold target to make Exeter energy independent and congestion free by 2025, they need a comprehensive understanding of traffic movements in the
Connected Vehicles and GPS Read More »
Client Brief As part of the evidence base for the Greater Exeter Strategic Plan, Devon County Council required a range of forecasts for commuting demand within the region based on
Demand Modelling for Devon County Council Read More »
Project Brief City Science required a speed model to populate gaps in the network where speed data isn’t available (e.g. during certain low-volume time periods or along quieter routes). The
Machine Learning Speed Model Read More »
