Title: A multidimensional service template for data analysis in highway domain

Authors: Weilong Ding; Jie Zou; Zhuofeng Zhao

Addresses: School of Information and Science and Technology, North China University of Technology, No. 5 Jinyuanzhuang Road, Beijing, 100144, China; Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, No. 5 Jinyuanzhuang Road, Beijing, 100144, China ' Research Institute of Highway Ministry of Transport, No. 8 Xitucheng Road, Beijing, 100088, China; Trans China (Beijing) Technology Co., Ltd., No. 8 Xitucheng Road, Beijing, 100088, China ' School of Computer Science and Technology, North China University of Technology, No. 5 Jinyuanzhuang Road, Beijing, 100144, China; Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, No. 5 Jinyuanzhuang Road, Beijing, 100144, China

Abstract: In highway domain, business analyses are always multidimensional on massive data for the traffic monitor and control. It is tedious to develop data analysis jobs from scratch and is hardly to consider comprehensive factors from requirements. In this paper, we propose a domain specific service template on massive toll data in highway domain. Based on the service template, abundant multidimensional analysis jobs as services can be built and managed flexibly. In a practical project, our method proves the feasibility and advantages by exhaustive experiments and case studies.

Keywords: highway; service template; data analysis; spatio-temporal data; multidimensional analysis; domain specific; big data; massive historical data; highway toll data; Hadoop.

DOI: 10.1504/IJIMS.2020.110231

International Journal of Internet Manufacturing and Services, 2020 Vol.7 No.4, pp.290 - 306

Received: 03 Jul 2018
Accepted: 15 Nov 2018

Published online: 18 Apr 2020 *

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