A Car-Following Driver Model Capable of Retaining Naturalistic Driving Styles
The modeling of car-following behavior is an attractive research topic in traffic simulation and intelligent transportation. The driver plays an important role in car following but is ignored by most car-following models. This paper presents a novel car-following driver model, which can retain aspec...
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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/10.1155/2020/6520861 |
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| _version_ | 1832556331577376768 |
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| author | Jie Hu Sheng Luo |
| author_facet | Jie Hu Sheng Luo |
| author_sort | Jie Hu |
| collection | DOAJ |
| description | The modeling of car-following behavior is an attractive research topic in traffic simulation and intelligent transportation. The driver plays an important role in car following but is ignored by most car-following models. This paper presents a novel car-following driver model, which can retain aspects of human driving styles. First, simulated car-following data are generated by using the speed control driver model and the real-world driving behavior data if the real-world car-following data are not available. Then, the car-following driver model is established by imitating human driving maneuver during real-world car following. This is accomplished by using a neural network-based learning control paradigm and car-following data. Finally, the FTP-72 driving cycle is borrowed as the speed profile of the leading vehicle for the model test. The driving style is quantitatively analyzed by AESD. The results show that the proposed car-following driver model is capable of retaining the naturalistic driving styles while well accomplishing the car-following task with the error of relative distance mostly less than 5 meters for every driving styles. |
| format | Article |
| id | doaj-art-4ca7fd4f94ca4445a2e4db71e9c06651 |
| 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-4ca7fd4f94ca4445a2e4db71e9c066512025-02-03T05:45:45ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/65208616520861A Car-Following Driver Model Capable of Retaining Naturalistic Driving StylesJie Hu0Sheng Luo1College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, Zhejiang 325000, ChinaCollege of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, Zhejiang 325000, ChinaThe modeling of car-following behavior is an attractive research topic in traffic simulation and intelligent transportation. The driver plays an important role in car following but is ignored by most car-following models. This paper presents a novel car-following driver model, which can retain aspects of human driving styles. First, simulated car-following data are generated by using the speed control driver model and the real-world driving behavior data if the real-world car-following data are not available. Then, the car-following driver model is established by imitating human driving maneuver during real-world car following. This is accomplished by using a neural network-based learning control paradigm and car-following data. Finally, the FTP-72 driving cycle is borrowed as the speed profile of the leading vehicle for the model test. The driving style is quantitatively analyzed by AESD. The results show that the proposed car-following driver model is capable of retaining the naturalistic driving styles while well accomplishing the car-following task with the error of relative distance mostly less than 5 meters for every driving styles.http://dx.doi.org/10.1155/2020/6520861 |
| spellingShingle | Jie Hu Sheng Luo A Car-Following Driver Model Capable of Retaining Naturalistic Driving Styles Journal of Advanced Transportation |
| title | A Car-Following Driver Model Capable of Retaining Naturalistic Driving Styles |
| title_full | A Car-Following Driver Model Capable of Retaining Naturalistic Driving Styles |
| title_fullStr | A Car-Following Driver Model Capable of Retaining Naturalistic Driving Styles |
| title_full_unstemmed | A Car-Following Driver Model Capable of Retaining Naturalistic Driving Styles |
| title_short | A Car-Following Driver Model Capable of Retaining Naturalistic Driving Styles |
| title_sort | car following driver model capable of retaining naturalistic driving styles |
| url | http://dx.doi.org/10.1155/2020/6520861 |
| work_keys_str_mv | AT jiehu acarfollowingdrivermodelcapableofretainingnaturalisticdrivingstyles AT shengluo acarfollowingdrivermodelcapableofretainingnaturalisticdrivingstyles AT jiehu carfollowingdrivermodelcapableofretainingnaturalisticdrivingstyles AT shengluo carfollowingdrivermodelcapableofretainingnaturalisticdrivingstyles |