能源消耗
估计员
布线(电子设计自动化)
能量(信号处理)
高效能源利用
运输工程
计算机科学
工程类
计算机网络
统计
数学
电气工程
作者
Yu Jiang,Jianhua Guo,Di Zhao
标识
DOI:10.1080/21680566.2024.2447609
摘要
This study proposes a traffic information-based green routing method to reduce urban commuting's energy consumption and emissions. Eco-driving can improve energy economy and reduce pollutant emissions, but real-time interaction with complex traffic environments is a challenge. The proposed scheme simplifies road networks, incorporates real-time velocity feedback, and models energy consumption using a parameter estimator. Experiments under various scenarios validate the approach, showing improvements in energy efficiency and computational performance compared to conventional routing methods. Further validation under complicated traffic scenarios confirms its accuracy, with a 7.62% reduction in average energy consumption deviation, making it a viable approach for reducing the negative impacts of urban commuting.
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