|
|||||
|
|
| 蚁群算法在城市交通系统中的应用 | |
| 引用本文： | 高 娜,贾辉然,折志伟,姜文东,赵 捷.蚁群算法在城市交通系统中的应用[J].河北工业科技,2010,27(3):204-206,209. |
| 作者姓名： | 高 娜 贾辉然 折志伟 姜文东 赵 捷 |
| 作者单位： | 1. 河北科技大学信息科学与工程学院,河北石家庄,050018 2. 河北科技大学研究生学院,河北石家庄,050018 3. 河北科技大学电气信息学院,河北石家庄,050018 4. 河北省信息安全测评中心,河北石家庄,050072 |
| 摘 要： | 根据城市交通的实际情况,介绍了用蚁群算法求解城市交通行驶中车辆最优路径的方法,帮助车辆找到最优路径,从而选择车流量较少的路径行驶。 |
| 关 键 词： | 智能交通系统 蚁群算法 最优路径 |
| 收稿时间： | 2009/12/18 0:00:00 |
| 修稿时间： | 2010/1/26 0:00:00 |
Application of ant colony algorithm to urban traffic control system |
|
| GAO N,JIA Hui-ran,SHE Zhi-wei,JIANG Wen-dong and ZHAO Jie.Application of ant colony algorithm to urban traffic control system[J].Hebei Journal of Industrial Science & Technology,2010,27(3):204-206,209. | |
| Authors: | GAO N JIA Hui-ran SHE Zhi-wei JIANG Wen-dong and ZHAO Jie |
| Affiliation: | College of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang Hebei 050018, China;College of Graduate, Hebei University of Science and Technology, Shijiazhuang Hebei 050018, China;College of Electrical Engineering and Information Science, Hebei University of Science and Technology, Shijiazhuang Hebei 050018, China;College of Electrical Engineering and Information Science, Hebei University of Science and Technology, Shijiazhuang Hebei 050018, China;Hebei Information Security Testing Evaluation Center, Shijiazhuang Hebei 050072, China |
| Abstract: | Based on the actual situation of urban transport,the ant colony algorithm is intoduced for vehicles to choose the optimal path with less traffic volume. |
| Keywords: | intelligent transport system ant colony algorithm optimal path |
| 本文献已被 维普 万方数据 等数据库收录！ | |
| 点击此处可从《河北工业科技》浏览原始摘要信息 | |
| 点击此处可从《河北工业科技》下载全文 | |
