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The weighted shortest path search based on multi-agents in mobile GIS management services

机译:移动GIS管理服务中基于多Agent的加权最短路径搜索

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摘要

In this paper we focus on the mobile GIS management system based on multi-agents, and wider range of client devices with J2ME-MIDP kernel are supported in it. A kit (Map Database Manager) is developed and described in detail. The kit can convert GIS data of commercial formats such as ArcGIS and MapInfo into Geospatial data in GML, and provide Geospatial data for handheld devices freely without commercial plug-in software. A peer to peer multi-agents mechanism on mobile GIS services is the main subject of this paper. According to user's requirement and known buffer area radius on map, agent can define the factors to calculate the optimal path from one node to target node in a map, which considers not only the length of the road but also traffic flow, road cost, and other factors. We use the integrated cost to re-define the road path weights, and select the optimal path among the road based on the minimum weight. The actual experimental results shown that in the quantified traffic flow and road condition, from node to other target nodes, we can get an optimal path on map, which satisfies the condition mostly. The results can greatly assist the searching of the optimal path in GIS services.
机译:在本文中,我们将重点放在基于多代理的移动GIS管理系统上,并支持具有J2ME-MIDP内核的更多客户端设备。开发并详细描述了一个工具包(地图数据库管理器)。该套件可以将商业格式的GIS数据(例如ArcGIS和MapInfo)转换为GML中的地理空间数据,并且无需商业插件软件即可免费为手持设备提供地理空间数据。移动GIS服务上的点对点多主体机制是本文的主要主题。根据用户的需求和地图上已知的缓冲区半径,Agent可以定义因素以计算地图中从一个节点到目标节点的最佳路径,这不仅要考虑道路长度,还要考虑交通流量,道路成本和其他因素。我们使用综合成本来重新定义道路路径权重,并根据最小权重在道路之间选择最佳路径。实际实验结果表明,在量化的交通流量和道路状况下,从一个节点到其他目标节点,我们可以在地图上得到一条最佳路径,该路径最能满足该条件。结果可以极大地帮助搜索GIS服务中的最佳路径。

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