The objective of this study was to demonstrate that accurate vehicle emission modelling could be carried out for Green Light Optimisation Speed Adaption (GLOSA) services, both simulated and using real vehicle speed profiles from (heavy goods vehicles) HGVs.

The study successfully combined existing research, techniques and open source software tools to create a platform that would enable both simulated and real-world data to be combined and used successfully to model individual and group vehicle emissions for drivers under the influence of GLOSA advice. This platform can be used to simulate mixed mode vehicle fleets, applied to real world traffic signal junction layouts to support the estimation of benefits associated with GLOSA and, specifically, but not limited to HGVs.