An OSGi-Based Smart Taxi Service Platform

Yang Yuan, Kejian Miao, Daqing Zhang, Lin Sun, Chao Chen
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引用次数: 3

Abstract

GPS enabled taxis provide us not only their locations and passenger status information in real-time, but also historical digital traces which could enable innovative services such as smart taxi dispatching, anomalous taxi detection, urban hotspots discovery, bus planning, and so on. Even though researchers have developed algorithms and systems in previous work targeting specific applications, there is no study on a general service framework that can integrate a scalable set of smart taxi services. In this paper, by identifying the potential services and applications in the previous research, we propose an integrated OSGi-based Smart Taxi Service Platform for taxi passengers, drivers, operators as well as the urban planners. By leveraging the component-based architecture of OSGi service framework, the proposed taxi service platform is highly scalable and reusable. We use the taxi fraud detection service as an example to show the reusability of the software components in the service platform, we further evaluate the system performance and response time using a large set of taxi GPS logs and verify the effectiveness of the platform.
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基于osgi的智能出租车服务平台
启用GPS的出租车不仅可以实时为我们提供其位置和乘客状态信息,还可以提供历史数字痕迹,从而实现智能出租车调度、异常出租车检测、城市热点发现、公交车规划等创新服务。尽管研究人员在之前的工作中已经针对特定应用开发了算法和系统,但还没有研究过可以集成一组可扩展的智能出租车服务的通用服务框架。本文通过识别前人研究的潜在服务和应用,提出了一个基于osgi的智能出租车综合服务平台,为出租车乘客、司机、运营商以及城市规划者提供服务。通过利用OSGi服务框架的基于组件的体系结构,所提出的出租车服务平台具有高度的可扩展性和可重用性。我们以出租车欺诈检测服务为例,展示了服务平台中软件组件的可重用性,我们使用大量出租车GPS日志进一步评估了系统性能和响应时间,并验证了平台的有效性。
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