TrafficPulse: a mobile GISystem for transportation
TrafficPulse: a mobile GISystem for transportation
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TrafficPulse：用于运输的移动 GI 系统
DOI：
10.1145/2442810.2442813
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Young
中科院分区：
文献类型：
--
作者：
Ren;S. Liang;Dongwook Lee;Young
今天，世界各地的城市花费数百万美元来了解其交通基础设施的动态。用于交通数据收集的传统方法依赖于固定的传感器基础设施（例如，感应环路检测器），并且因为这些传感器部署和维护昂贵，所以交通数据覆盖范围限于主要高速公路和主要十字路口。这种有限的信息阻碍了市政当局实现有效的交通管理和控制。为了解决这个问题，我们开发了一个移动的地理信息系统平台，用于交通应用。对于客户端前端，我们开发了一个集成了参与式感知、机会式感知和离线数据采集模块的移动移动的应用程序来采集交通数据。对于服务器后端，我们开发了Geopot云，一个基于云的地理位置数据服务的移动的应用程序。为了证明该系统的潜在好处，我们还开发了一个拼车推荐系统来分析用户共享的内容，并为PandicPulse用户提供推荐服务。在本文中，我们描述了我们的系统架构和经验，让我们的论文被用作其他开发人员谁想要开发自己的交通应用程序的参考。
Today municipalities around the world spend millions of dollars to understand the dynamics of their transportation infrastructure. Traditional approaches for traffic data collection rely on a fixed sensor infrastructure (e.g., inductive loop detectors), and because these sensors are expensive to deploy and maintain, the traffic data coverage is limited to main highways and major intersections. This limited information hinders municipalities to achieve efficient traffic management and control. To address this problem, we develop TrafficPulse, a mobile GISystem platform for transportation applications. For the client front-end, we develop the TrafficPulse mobile application that collects traffic data by integrating participatory sensing, opportunistic sensing, and offline data collection module. For the server back-end, we develop Geopot cloud, a cloud-based geo-location data service for mobile applications. In order to demonstrate the potential benefit of this system, we also develop a carpooling recommendation system to analyze user-shared content and provide a recommendation service to TrafficPulse users. In this paper, we describe our system architecture and experiences, allowing our paper to be used as a reference for other developers who want to develop their own transportation applications.