@article{ref1,
title="Study of multi-objective path planning method for vehicles",
journal="Environmental science and pollution research international",
year="2019",
author="Zheng, Yan Chun and Wang, Juan and Guo, Dong and Zhang, Hai and Li, Chao Chao and Li, Dong Chun and Li, Hui Ming and Li, Kai",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="To address the problems associated with single-objective path planning, herein, we propose a multi-objective path planning method that takes into account emissions, fuel consumption, and time as travel demands. First, a fuel consumption and emission estimation model, suitable for coupling with a dynamic transportation network, is established, and then, the multi-objective path planning model is presented. In addition, the analytic hierarchy process (AHP) and gray relational analysis are used to derive relative priorities of each sub-objective according to driver preference. The above two models are combined with an improved Dijkstra algorithm to perform multi-objective path planning based on dynamic time-dependent road conditions. Finally, the method is verified using real-world vehicle experiments on actual roads. Compared to single-objective path planning, the multi-objective planning method meets travel needs and can save time and fuel, thereby providing greater environmental protection while still considering driver preferences.<p /> <p>Language: en</p>",
language="en",
issn="0944-1344",
doi="10.1007/s11356-019-07243-y",
url="http://dx.doi.org/10.1007/s11356-019-07243-y"
}