Client Brief Exeter City Futures required an evidence base to support their vision of an Energy Independent city by 2025. With an ambition to convert analysis into clear action and
Energy Independence 2025 Report 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 »
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 »
