摘要
In this paper, we propose a new computational model of driver car-following control with lateral control based on the Queuing Network (QN) cognitive architecture. A driver car-following model within the framework of the QN cognitive architecture is first developed based on the time headway and then integrated with a QN-based driver lateral control model previously validated. The comparison between human driver data and the integrated model simulation data suggests that this computational model can perform car-following control with lateral control well, and its performance is in agreement with that of drivers under straight and curved roads. This proposed model can compute and simulate car-following behavior and thus has the potential to help develop driver assistance systems for the car-following scenario.
| 源语言 | 英语 |
|---|---|
| 页 | 274-278 |
| 页数 | 5 |
| DOI | |
| 出版状态 | 已出版 - 2013 |
| 活动 | 2013 4th Global Congress on Intelligent Systems, GCIS 2013 - Hong Kong, 中国 期限: 3 12月 2013 → 4 12月 2013 |
会议
| 会议 | 2013 4th Global Congress on Intelligent Systems, GCIS 2013 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Hong Kong |
| 时期 | 3/12/13 → 4/12/13 |