Abstract

This study evaluates the deployment of a speed advisory system (Energy Efficient Intersection Service) along a 12km signalized rural arterial corridor, which connects the city of Thessaloniki, Greece, with the suburbs of Peraia, using the traffic simulation software Aimsun. The system uses the SPaT (Signal Phase and Timing) information to estimate fuel optimal speed advices that reduce emissions by minimizing idling time. Nine simulation scenarios were tested for different service activation distances, penetration rates of the dynamic eco-driving technology, traffic demand levels and posted speed limits. A microscopic emissions model integrated into Aimsun was used for the calculation of CO2 emissions. The speed advice system reduces CO2 emissions by 3% on the local level, and 0.56% network-wide. Maximum CO2 emission reduction occurs for longer activation distances and high penetration rates (≥90%) under light traffic conditions. Finally, it was observed that the system indirectly improves the environmental footprint of conventional vehicles as well.