DocumentCode :
3538555
Title :
An OSGi-Based Smart Taxi Service Platform
Author :
Yang Yuan ; Kejian Miao ; Daqing Zhang ; Lin Sun ; Chao Chen
Author_Institution :
Sch. of Comput. Sci., Northwestern Polytech. Univ., Xi´´an, China
fYear :
2012
fDate :
6-8 Dec. 2012
Firstpage :
173
Lastpage :
178
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.
Keywords :
Global Positioning System; internetworking; road vehicles; service industries; service-oriented architecture; software reusability; GPS enabled taxi; Global Positioning System; OSGi-based smart taxi service platform; anomalous taxi detection service; bus planning service; open services gateway initiative; smart taxi dispatching service; software component reusability; taxi driver; taxi fraud detection service; taxi operator; taxi passenger; urban hotspots discovery service; urban planner; Cities and towns; Companies; Data mining; Global Positioning System; Real-time systems; Trajectory; Vehicles; OSGi-based; abnormally detection; smart taxi platform; social and community intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing Conference (APSCC), 2012 IEEE Asia-Pacific
Conference_Location :
Guilin
Print_ISBN :
978-1-4673-4825-6
Type :
conf
DOI :
10.1109/APSCC.2012.63
Filename :
6478213
Link To Document :
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