Study on path optimization method of urban traffic flow guidance system based on internet of things
文献类型：会议论文
| 作者 | Wang DP(王丹萍) ; Hu KY(胡琨元)
|
| 出版日期 | 2014 |
| 会议名称 | 2014 International Conference on Mechatronics, Materials and Manufacturing, ICMMM 2014 |
| 会议日期 | August 2-4, 2014 |
| 会议地点 | Chengdu, China |
| 关键词 | Highway traffic control Information systems Internet of things Manufacture Street traffic control |
| 页码 | 557-560 |
| 中文摘要 | This paper analyzes the existing traffic guidance systems and conducts a detailed explanation of things based on traffic flow guidance system and describes its characteristics and advantages and disadvantages. After a comparison beteween them, this paper designs the optimal way and introduce its features detaily. On this basis, this paper studies the structure and composition traffic information system, including the service application platform designed to induce traffic information systems and traffic information collection system and vehicle location system to provide basic information on traffic flow guidance system design. This paper analyzes the general method of route optimization to build a theoretical model based route optimization and this lay a foundation for things urban traffic guidance system path optimization. © (2014) Trans Tech Publications, Switzerland. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 2 |
| 会议主办者 | International Academy of Computer Technology (IACT); Singapore Institute of Electronics; Wuhan University |
| 会议录 | Applied Mechanics and Materials
 |
| 会议录出版者 | Trans Tech Publications Ltd |
| 会议录出版地 | Zurich-Durnten, Switzerland |
| 语种 | 英语 |
| ISSN号 | 1660-9336 |
| ISBN号 | 978-3-03835-225-9 |
| WOS记录号 | WOS:000348142500114 |
| 源URL | [http://ir.sia.cn/handle/173321/15139]  |
| 专题 | 沈阳自动化研究所_信息服务与智能控制技术研究室 |
| 推荐引用方式 GB/T 7714 | Wang DP,Hu KY. Study on path optimization method of urban traffic flow guidance system based on internet of things[C]. 见:2014 International Conference on Mechatronics, Materials and Manufacturing, ICMMM 2014. Chengdu, China. August 2-4, 2014. |
入库方式： OAI收割
来源：沈阳自动化研究所
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