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Appl. Sci. 2018, 8(3), 407; https://doi.org/10.3390/app8030407

Path Planning Strategy for Vehicle Navigation Based on User Habits

School of Electrical Engineering and Automation, East China Jiaotong University, Nanchang 330013, China
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Received: 6 February 2018 / Revised: 6 March 2018 / Accepted: 6 March 2018 / Published: 9 March 2018
(This article belongs to the Special Issue Socio-Cognitive and Affective Computing)
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Abstract

Vehicle navigation is widely used in path planning of self driving travel, and it plays an increasing important role in people's daily trips. Therefore, path planning algorithms have attracted substantial attention. However, most path planning methods are based on public data, aiming at different driver groups rather than a specific user. Hence, this study proposes a personalized path decision algorithm that is based on user habits. First, the categories of driving characteristics are obtained through the investigation of public users, and the clustering results corresponding to the category space are obtained by log fuzzy C-means clustering algorithm (LFCM) based on the driving information contained in the log trajectories. Then, the road performance personalized quantization algorithm evaluation is proposed to evaluate roads from the user’s field of vision. Finally, adaptive ant colony algorithm is improved and used to validate the path planning based on the road performance personalized values. Results show that the algorithm can meet the personalized requirements of the user path selection in the path decision. View Full-Text
Keywords: individualization; dynamic path planning; driving habits; personalized performance evaluation individualization; dynamic path planning; driving habits; personalized performance evaluation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Chen, P.; Zhang, X.; Chen, X.; Liu, M. Path Planning Strategy for Vehicle Navigation Based on User Habits. Appl. Sci. 2018, 8, 407.

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