Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019)

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A Microservice–based Big Trajectory Data Processing Platform for Multimodal Trip Planning

Authors
Jun Na, Xiaowei Wang, Yuting Xu, Wenzhi Luo
Corresponding Author
Jun Na
Available Online 24 December 2019.
DOI
10.2991/acsr.k.191223.009How to use a DOI?
Keywords
trip planning, big trajectory data processing, multimodal routing, microservices
Abstract

Trip planning is an essential function provided by an intelligent transportation system. As many different transport modes have been emerging recently, it becomes a common requirement to mix available transport types to find the most comfort and fastest solutions for getting given destinations. A key challenge for achieving such a desired trip plan is to get quality estimations of all possible traveling services rapidly and accurately. Thanks to the rapid growth of mobile computing, lots of real-time data about traffic status can be collected throw smartphones. Based on such continuously acquired data, we would get quality estimations more accurately and efficiently. Thus, we design and implement a big trajectory data processing platform based on microservices for supporting multimodal trip planning. The paper introduces not only the services and service processes for dealing with the big trajectory data but also the implementation and distributed deployment based on microservices deployed in multiple Dockers. Regarding the loosely-coupled nature of microservices, this platform can provide a flexible way to support trip planning applications consider new available travel modes quickly.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019)
Series
Advances in Computer Science Research
Publication Date
24 December 2019
ISBN
10.2991/acsr.k.191223.009
ISSN
2352-538X
DOI
10.2991/acsr.k.191223.009How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Jun Na
AU  - Xiaowei Wang
AU  - Yuting Xu
AU  - Wenzhi Luo
PY  - 2019
DA  - 2019/12/24
TI  - A Microservice–based Big Trajectory Data Processing Platform for Multimodal Trip Planning
BT  - Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019)
PB  - Atlantis Press
SP  - 36
EP  - 39
SN  - 2352-538X
UR  - https://doi.org/10.2991/acsr.k.191223.009
DO  - 10.2991/acsr.k.191223.009
ID  - Na2019
ER  -