A cooperative energy efficient truck platoon lane-changing model preventing platoon decoupling in a mixed traffic environment
Journal article, 2024

Truck platooning has gained increasing attention due to the benefits in energy and operation efficiency in freight transportation. One significant challenge for deploying truck platoons is the safe and efficient interaction with surrounding traffic, especially at freeway discontinuities where mandatory lane changes usually lead to the decoupling of truck platoons. This study proposes a cooperative truck platoon lane-changing model (CTPLC) to prevent the decoupling of truck platoons in a mixed traffic environment. Specifically, a two-step control strategy is presented, where vehicles in the target lane firstly cooperatively adjust speeds to create an appropriate gap for a truck platoon, and then trucks within the truck platoon conduct lane change sequentially. The cooperative speed profiles are generated by solving an optimization problem considering the lane-changing influence and energy consumption. Based on that, a two-dimensional nonlinear model predictive control (MPC) algorithm is employed to generate vehicular acceleration and steering angle for each truck. A series of numerical simulation experiments were conducted to validate the proposed strategy. As shown by the results, our proposed method truck platoon could conduct a lane change in a traffic-efficient and safe manner, and meanwhile, our method was more energy-efficient than a benchmark strategy.

Autonomous truck platoon

model predictive control

cooperative lane change

connected automated vehicles

Author

Meng Li

Southeast University

Zhibin Li

Southeast University

Yang Zhou

Texas A&M University

Jiaming Wu

Chalmers, Architecture and Civil Engineering, Geology and Geotechnics

Journal of Intelligent Transportation Systems

1547-2450 (ISSN) 15472442 (eISSN)

Vol. 28 2 174-188

Subject Categories

Transport Systems and Logistics

Vehicle Engineering

Energy Systems

DOI

10.1080/15472450.2022.2119386

More information

Latest update

3/7/2024 9