Development of parametric eco-driving models for fuel savings: A novel parameter calibration approach

The existing conventional traffic flow models aims to simulate human-driven following vehicles in real world. In this era of emerging transport solutions, controlling or intervening achieve high fuel efficiency along with good driving safety and travel becomes a reality. As such, it is worth exploring the possibility developing eco-driving optimise vehicle movements for consumption minimisation, while maintaining efficiency. study, we propose modified genetic algorithm (GA) based calibration method that enables calibrated parametric (car following) control an manner. By novel objective function GA on widely-used VT-Micro model, proposed can calibrate model parameters towards improving Besides, by subtly using heavy consumptions as surrogate index represent low dangerous strategies, guide achieving complete requirements. Experimental simulation results further indicate GA-based also alleviate disturbances oscillations more effective