An evolutionary service solution for spatio-temporal data analysis in highway domain. (28th January 2020)

• Record Type: Journal Article
• Authors: Zhou, Jie; Ding, Weilong
• Is Part Of: International journal of intelligent internet of things computing. Volume 1:Number 1(2020)
• Page Start: 43
• Page End: 52
• Publication Date: 2020-01-28
• Subjects: highway -- data analysis -- evolutionary solution -- spatio-temporal data; Internet of things -- Periodicals; Computers -- Periodicals; 004.678
• Languages: English
• ISSNs: 2631-7060

Abstract

In highway domain, many routine analyses are required on business spatio-temporal data to monitor and control the traffic situation in time. Such analytics as big data applications through traditional ways remain inherent challenges due to the inflexibility of the holistic procedure, the variety of the computational jobs and the diversity of the customised visualisation. In this paper, we propose a service solution in a specific highway domain for business technicians to build their own data analytical applications conveniently and rapidly. On massive toll data through respective services, our solution provides evolutionary capacity to load, process and reveal spatio-temporal data for building comprehensive data analysis. In a practical project, our work proves the feasibility and advantages by exhaustive case studies.