| 新型主动式智能停车诱导系统 |
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| 引用本文： | 王龙飞,陈红,李杨,邵海鹏.新型主动式智能停车诱导系统[J].计算机应用,2011,31(4):1141-1144. |
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| 作者姓名： | 王龙飞 陈红 李杨 邵海鹏 |
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| 作者单位： | 长安大学 公路学院，西安 710065 |
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| 基金项目： | "十一五"国家科技支撑计划项目，交通部交通应用基础研究项目，国家自然科学基金资助项目 |
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| 摘 要： | 针对停车诱导活动跨时域、跨空域、多主体参与以及动态性强等特点，考虑到驾驶员的主动性和切身利益，将协商方式引入到停车诱导系统的设计中，提出一种基于扩展FIPA规范的主动式智能停车诱导系统，并对该系统的多Agent架构、运行机制、协商算法以及系统特点进行了分析与论述。该系统能实现城市交通状态信息的有效共享，可增强停车诱导系统中活动主体的协调工作能力和决策能力。
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| 关 键 词： | 停车诱导系统 多智能体系统 分段诱导 价格协商 路径协商 |
| 收稿时间： | 2010-09-01 |
| 修稿时间： | 2010-11-03 |
Active intelligent parking guidance system |
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| WANG Long-fei,CHEN Hong,LI Yang,SHAO Hai-peng.Active intelligent parking guidance system[J].journal of Computer Applications,2011,31(4):1141-1144. |
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| Authors: | WANG Long-fei CHEN Hong LI Yang SHAO Hai-peng |
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| Affiliation: | School of Highway, Chang'an University, Xi'an Shaanxi 710064, China |
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| Abstract: | Based on the intrinsic features of spatial distribution, temporal distribution and high dynamic of parking activities, a negotiation approach was introduced to the design of an intelligent parking guidance system. The IEEE FIPA compliant multi-Agent system called active negotiation-based intelligent parking guidance system (AIPGIS) was proposed. The architecture, operation mechanism, negotiation algorithms and characteristics were analyzed and presented. The AIPGIS can implement effective sharing of urban traffic state information and strengthen the coordination and decision-making capacities of the active Agents. |
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| Keywords: | parking guidance system multi-Agent system multi-phase navigation price negotiation route negotiation |
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