Dynamic Eco-Driving Speed Guidance at Signalized Intersections: Multi-Vehicle Driving Simulator based Experimental Study
A project at the Beihang University School of Transportation Science and Engineering created and tested a dynamic eco-driving speed guidance strategy (DESGS). The system seeks to optimize emission profiles for vehicles by providing speed advice to drivers approaching signalized intersections. This advice is designed to minimize the need for unnecessary deceleration and acceleration, which in turn reduces the vehicle’s fuel consumption and environmental impact. The use of connected vehicle technologies allows the system to obtain real-time data and dynamically adjust its suggestions.
The developed DESGS was tested using driving simulator that replicated a stretch of nearby highway. The experiment recruited fifteen drivers from the local community and had them complete a simulation that either did or did not include eco-driving guidance.
Drivers who were given eco-driving guidance were found to reduce the number of stops they made, and their vehicles had both total fuel consumption and total carbon dioxide emissions approximately 25 percent lower than for those driven without guidance.
There was no significant difference in overall travel time between the two groups.