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 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 »
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 »
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 »
