Cruise control

Energy consumption

Control (management)

Engineering

Transport engineering

Aerospace engineering

Platoon

Computer science

Classical mechanics

Physics

Automotive engineering

Artificial intelligence

Acceleration

Intersection (aeronautics)

Cruise

Electrical engineering

Cooperative Adaptive Cruise Control

Transportation Research Part D Transport and Environment

Vehicle driving patterns greatly impact the sustainability of the transportation system. Based on V2X communication, the ecological cooperative adaptive cruise control (Eco-CACC) is proposed combing the advantages of eco-driving and car-following to minimize the energy consumption of the connected automated vehicles platoon. Herein, the vehicle platoon behavior in the scenario of driving through a signalized intersection exhibits great benefits for sustainability which is even improved along corridors with more traffic lights. In the velocity trajectory planning process, a modified dynamic programming algorithm is formulated with the switching logic gate of two types of optimal control problems to increase the computational speed. By testing in the real-world scenario, the results of the proposed Eco-CACC demonstrate excellent energy performance which improves 8.02% compared to manual driving with the constant acceleration policy. Moreover, energy can be further improved by 2.02% and 1.55% when the car-following strategy is selected with MPC and IDM algorithm.

Eco-driving-based cooperative adaptive cruise control of connected vehicles platoon at signalized intersections