Fuel Efficient Connected Cruise Control for Heavy-Duty Trucks in Real Traffic
In this paper, we present a systematic approach for fuel-economy optimization of a connected automated truck that utilizes motion information from multiple vehicles ahead via vehicle-to-vehicle (V2V) communication. Position and velocity data collected from a chain of human-driven vehicles are utiliz...
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| Veröffentlicht in: | IEEE transactions on control systems technology 2020-11, Vol.28 (6), p.2474-2481 |
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| creator | He, Chaozhe R. Ge, Jin I. Orosz, Gabor |
| description | In this paper, we present a systematic approach for fuel-economy optimization of a connected automated truck that utilizes motion information from multiple vehicles ahead via vehicle-to-vehicle (V2V) communication. Position and velocity data collected from a chain of human-driven vehicles are utilized to design a connected cruise controller that smoothly responds to traffic perturbations while maximizing energy efficiency. The proposed design is evaluated using a high-fidelity truck model and the robustness of the design is validated on real traffic data sets. It is shown that optimally utilizing V2V connectivity leads to around 10% fuel economy improvements compared to the best nonconnected design. |
| doi_str_mv | 10.1109/TCST.2019.2925583 |
| format | Article |
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| source | IEEE Electronic Library (IEL) |
| subjects | Automation & Control Systems Computational modeling Connected automated vehicle (CAV) Control systems design Cruise control Data models data-based apporach Energy consumption Energy efficiency Engineering Engineering, Electrical & Electronic Fuel consumption Fuel economy Heavy duty trucks Optimization Perturbation methods Science & Technology Technology Traffic information Vehicles |
| title | Fuel Efficient Connected Cruise Control for Heavy-Duty Trucks in Real Traffic |
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