Open Access Paper
2 February 2023 Novel algorithm for identifying kinematics characteristic data under road conditions in Xi’an
Wensheng Wang, Xindong Hu, Shendun Zhao, Liying Jin, Yangfeng Cao, Yang Xie
Author Affiliations +
Proceedings Volume 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022); 124620V (2023) https://doi.org/10.1117/12.2661176
Event: International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 2022, Xi'an, China
Abstract
Aiming at the problem that the kinematics feature dataset of different traffic flow, average speed, acceleration, and traffic time are affected by high-dimensional, irrelevant, and redundant factors, and the kinematics feature dataset is a multi-objective, multi-constrained and complex nonlinear optimization system, the improved Multi-Objective evolutionary Soft Subspace Clustering algorithm (iMOSSC) is proposed to mine the micro-stroke segments with different kinematic characteristics and realize data classification. The algorithm uses iNSGA-II as the base algorithm and performs local search operator and repair operator operation in the feature space to accelerate convergence and improve the accuracy of the solution. The feasibility and effectiveness of the algorithm are verified by 12 sets of UCI standard dataset. The classified kinematics characteristic data is used to construct the Xi'an urban road trajectory database. Compared with the iMWK-HD algorithm in the collected kinematics feature data of circulation condition, the feature importance degree of the iMOSSC algorithm is more reasonable, the stability is better, the accuracy is higher, and the classification effectiveness is more obvious than the iMWK-HD algorithm. The excavated kinematics data is imported into the Optimumlap simulation software to construct the actual road circulation condition trajectory database. Based on the ADVISOR commercial software platform for the simulation module.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wensheng Wang, Xindong Hu, Shendun Zhao, Liying Jin, Yangfeng Cao, and Yang Xie "Novel algorithm for identifying kinematics characteristic data under road conditions in Xi’an", Proc. SPIE 12462, Third International Symposium on Computer Engineering and Intelligent Communications (ISCEIC 2022), 124620V (2 February 2023); https://doi.org/10.1117/12.2661176
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KEYWORDS
Kinematics

Roads

Evolutionary algorithms

Databases

Optimization (mathematics)

Data modeling

Detection and tracking algorithms

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