An efficient eco-driving strategy with a vehicle-cloud collaborative layered architecture for electric intercity buses AITranslate
Abstract AITranslate
To enhance the energy and travel efficiency for electric bus routes, a cloud-supported efficient eco-driving control strategy based on a vehicle-cloud collaborative layered architecture is proposed in this paper. At the cloud layer, an efficient velocity planning model balancing energy consumption and travel time is constructed based on route map information and solved using the Dynamic Programming (DP) algorithm. At the vehicle layer, a safety-prioritized arbitration strategy is designed to switch decisions between the cloud-planned optimal velocity and the adaptive cruise control (ACC) car-following velocity to ensure driving safety. An experimental platform based on the vehicle-road-cloud collaborative architecture was constructed, and validation was conducted under real-world intercity road conditions. Experimental results demonstrate that the system exhibits favorable communication, real-time performance, and reliability. Compared with the ACC strategy, the proposed strategy increased average velocity by approximately 4.21% and reduced energy consumption by about 1.12% while ensuring operational punctuality.
KeyWords AITranslate
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Basic Information:
DOI：10.23919/CHAIN.2026.000011
Chinese Library Classification Number:
Citation Information:
To enhance the energy and travel efficiency for electric bus routes, a cloud-supported efficient eco-driving control strategy based on a vehicle-cloud collaborative layered architecture is proposed in this paper. At the cloud layer, an efficient velocity planning model balancing energy consumption and travel time is constructed based on route map information and solved using the Dynamic Programming (DP) algorithm. At the vehicle layer, a safety-prioritized arbitration strategy is designed to switch decisions between the cloud-planned optimal velocity and the adaptive cruise control (ACC) car-following velocity to ensure driving safety. An experimental platform based on the vehicle-road-cloud collaborative architecture was constructed, and validation was conducted under real-world intercity road conditions. Experimental results demonstrate that the system exhibits favorable communication, real-time performance, and reliability. Compared with the ACC strategy, the proposed strategy increased average velocity by approximately 4.21% and reduced energy consumption by about 1.12% while ensuring operational punctuality.
quote
| GB/T 7714-2015 | [1] Yue Wang, Weiliang Li, Honglei Qi, et al. An efficient eco-driving strategy with a vehicle-cloud collaborative layered architecture for electric intercity buses[J]. Chain, 2026, 3(2): 229-244. DOI:10.23919/CHAIN.2026.000011. |
| MLA | [1] Yue Wang, et al., "An efficient eco-driving strategy with a vehicle-cloud collaborative layered architecture for electric intercity buses." Chain, vol. 3, no. 2, 2026, pp. 229-244, https://doi.org/10.23919/CHAIN.2026.000011. |
| APA | [1] Yue Wang, Weiliang Li, Honglei Qi, Chen Li, Yanbo Lu, Kang Liu, Yaoyang Wang, Sichang Wei, & Bolin Gao. (2026). An efficient eco-driving strategy with a vehicle-cloud collaborative layered architecture for electric intercity buses. Chain, 3(2), 229-244. https://doi.org/10.23919/CHAIN.2026.000011 |
| IEEE | [1] Yue Wang, Weiliang Li, Honglei Qi, Chen Li, Yanbo Lu, Kang Liu, Yaoyang Wang, Sichang Wei, and Bolin Gao, "An efficient eco-driving strategy with a vehicle-cloud collaborative layered architecture for electric intercity buses," Chain, vol. 3, no. 2, pp. 229-244, 2026, doi: 10.23919/CHAIN.2026.000011. keywords: {cloud-supported;eco-driving;experimental verification;intercity electric bus} |