Title :
Towards Scalable Processing for a Large-Scale Ride Sharing Service
Author :
Jin, Beihong ; Hu, Jiafeng
Author_Institution :
Inst. of Software, Beijing, China
Abstract :
Ride sharing is a promising way to realize a convenient, economic and low-carbon travel. After analyzing and refining the requirements of a ride sharing service, the paper models the trajectory matching therein and discusses the implementation of a large-scale ride sharing service with the aim of improving the efficiency and scalability.
Keywords :
environmental factors; middleware; road vehicles; sustainable development; traffic engineering computing; Pub/Sub middleware; economic travel; efficiency improvement; large-scale ride sharing service; low-carbon travel; scalability improvement; scalable processing; trajectory matching; Cities and towns; Cloud computing; Indexes; Roads; Servers; Trajectory; Vehicles; Pub/Sub; ride sharing service; scalable processing; trajectory matching;
Conference_Titel :
Ubiquitous Intelligence & Computing and 9th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2012 9th International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
978-1-4673-3084-8
DOI :
10.1109/UIC-ATC.2012.152
