Transportation Research Board 92nd Annual MeetingTransportation Research Board · 2013 · 13 citations · 0 references
EngineeringAutomotive EngineeringAutonomous VehiclesVehicle DynamicsVehicle Safety EngineeringFuel Economy OptimizationTraffic EngineeringTraffic SafetyTrajectory OptimizationVehicle ControlVehicle Control SystemsEco-driving StrategyFuel ConsumptionFuel Consumption ModelingFuel Consumption ReductionOptimal Speed ControlSignal TimingSpeed Profile OptimizationVehicle Speed Profile Optimization
During driving on the signalized highway corridors, the signal timing and vehicle positioning information can be provided under connected-vehicle environment. This paper developed a dynamic eco-driving speed guidance strategy (DESGS) which yields the most fuel/emission-optimal speed profile for a vehicle approaching signalized intersections. An optimization-based rolling horizon and a dynamic programming approach for tracking the optimal guided velocity for individual vehicle are put forward, and also a vehicle specific power based approach to estimate fuel consumption and CO2 emissions was integrated in the DESGS. To evaluate the effectiveness of the overall strategy, 15 typical drivers were recruited to attend the speed guidance experiments using multi-vehicle driving simulators. It was found that the number of stops is significantly reduced and fuel consumption and CO2 emissions can be reduced by 25% for the vehicles with eco-speed guidance as compared to the vehicles without speed guidance.