SMS-Based Urban Public Traffic Query Service

Benting Wan
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Abstract

Mobile information services will play an important role in our future work and private life. Enabling mobility in urban and populous areas needs novel techniques for individual traffic planning. However, though there already are WAP-based traffic systems featuring route planning, their usability is not often universal. We present a SMS-based urban public traffic information system (SMS-UPTS) offering exact transfer query service and supporting most mobile devices. The SMS-UPTS makes use of bus station library model and least transfer path search algorithm. The least transfer path search algorithm is consisted of direct reach path search algorithm and least transfer converse search algorithm (CS-LT). Bus station library model improves veracity of Chinese parse word algorithm and flexibility of traffic information system, and direct reach path search algorithm can immediately get paths whose bus stations are on the same line, and CS-LT algorithm is based on point to point least transfer algorithm (P2P-LT) which makes use of adjacent and reachable matrixes, it greatly improves transfer algorithm performance. And the implementation results show that the performance of P2P-LS algorithm is better than Dijkstra algorithm and the SMS-UPTS has good efficiency.
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基于短信的城市公共交通查询服务
移动信息服务将在我们未来的工作和生活中发挥重要作用。在城市和人口稠密地区实现机动性需要新的个人交通规划技术。然而,尽管已经有基于wap的交通系统具有路线规划功能,但它们的可用性并不普遍。提出了一种基于短信的城市公共交通信息系统(SMS-UPTS),该系统提供精确的换乘查询服务,支持大多数移动设备。SMS-UPTS采用公交车站库模型和最小换乘路径搜索算法。最小传输路径搜索算法由直达路径搜索算法和最小传输反向搜索算法(CS-LT)组成。公交站点库模型提高了中文解析词算法的准确性和交通信息系统的灵活性,直达路径搜索算法可以立即得到公交站点在同一条线上的路径,CS-LT算法基于点对点最小传输算法(P2P-LT),利用相邻矩阵和可达矩阵,大大提高了传输算法的性能。实现结果表明,P2P-LS算法的性能优于Dijkstra算法,SMS-UPTS具有良好的效率。
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