Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network
Human drivers’ behavior, which is very difficult to model, is a very complicated stochastic system. To characterize a high-accuracy driver behavior model under different roadway geometries, the paper proposes a new algorithm of driver behavior model based on the whale optimization algorithm-restrict...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/8859891 |
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| _version_ | 1832547384932958208 |
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| author | Junhui Liu Yajuan Jia Yaya Wang |
| author_facet | Junhui Liu Yajuan Jia Yaya Wang |
| author_sort | Junhui Liu |
| collection | DOAJ |
| description | Human drivers’ behavior, which is very difficult to model, is a very complicated stochastic system. To characterize a high-accuracy driver behavior model under different roadway geometries, the paper proposes a new algorithm of driver behavior model based on the whale optimization algorithm-restricted Boltzmann machine (WOA-RBM) method. This method establishes an objective optimization function first, which contains the training of RBM deep learning network based on the real driver behavior data. Second, the optimal training parameters of the restricted Boltzmann machine (RBM) can be obtained through the whale optimization algorithm. Finally, the well-trained model can be used to represent the human drivers’ operation effectively. The MATLAB simulation results showed that the driver model can achieve an accuracy of 90%. |
| format | Article |
| id | doaj-art-b808208752c743cd94c677bb1d4ff3e1 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-b808208752c743cd94c677bb1d4ff3e12025-02-03T06:44:57ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/88598918859891Development of Driver-Behavior Model Based onWOA-RBM Deep Learning NetworkJunhui Liu0Yajuan Jia1Yaya Wang2The School of Electro-Mechanical Engineering, Xidian University, The Key Laboratory of Electronic Equipment and Structure Design (Xidian University), Ministry of Education, Xi’an 710071, ChinaThe School of Electro Engineering, Xi’an Traffic Engineering Institute, Xi’an 710300, ChinaThe School of Electro Engineering, Xi’an Traffic Engineering Institute, Xi’an 710300, ChinaHuman drivers’ behavior, which is very difficult to model, is a very complicated stochastic system. To characterize a high-accuracy driver behavior model under different roadway geometries, the paper proposes a new algorithm of driver behavior model based on the whale optimization algorithm-restricted Boltzmann machine (WOA-RBM) method. This method establishes an objective optimization function first, which contains the training of RBM deep learning network based on the real driver behavior data. Second, the optimal training parameters of the restricted Boltzmann machine (RBM) can be obtained through the whale optimization algorithm. Finally, the well-trained model can be used to represent the human drivers’ operation effectively. The MATLAB simulation results showed that the driver model can achieve an accuracy of 90%.http://dx.doi.org/10.1155/2020/8859891 |
| spellingShingle | Junhui Liu Yajuan Jia Yaya Wang Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network Journal of Advanced Transportation |
| title | Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network |
| title_full | Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network |
| title_fullStr | Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network |
| title_full_unstemmed | Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network |
| title_short | Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network |
| title_sort | development of driver behavior model based onwoa rbm deep learning network |
| url | http://dx.doi.org/10.1155/2020/8859891 |
| work_keys_str_mv | AT junhuiliu developmentofdriverbehaviormodelbasedonwoarbmdeeplearningnetwork AT yajuanjia developmentofdriverbehaviormodelbasedonwoarbmdeeplearningnetwork AT yayawang developmentofdriverbehaviormodelbasedonwoarbmdeeplearningnetwork |