Optimization Big Data Real-time Analytics Using Mobile Phone Data in Origin Destination National Transportation (ATTN) Survey

DOI

10.2991/apte-18.2019.39How to use a DOI?

Keywords

ATTN-people, big data, real-time analysis, smart phone

Abstract

The ATTN 2018 data collection process is obtained from the data collection of the sample OD-matrix using cellular data, carried out with the aim of obtaining data on the Origin Destination Matrix (movement) of the mobile phone user movement for a given period to get the sample OD-matrix. Data signals from cellular networks can be a means of analysing transportation systems to help formulate transportation models to predict future users. FCD (floating car/cellular data) is based on the collection of localization data, speed, direction of travel information and time from the cellular telephone on the vehicle. The initial challenge in combining the algorithms is: how to scale the algorithm to a big way, how to cleanse the data, how to use both manual queue detection, and how to report it in time when the queue occurs. The approach of these research is to obtain a combination real-time analysis model of movement distribution and simultaneous mode selection

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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TY  - CONF
AU  - Okkie Putriani
AU  - Sigit Priyanto
PY  - 2019/10
DA  - 2019/10
TI  - Optimization Big Data Real-time Analytics Using Mobile Phone Data in Origin Destination National Transportation (ATTN) Survey
BT  - Proceedings of the 11th Asia Pacific Transportation and the Environment Conference (APTE 2018)
PB  - Atlantis Press
SP  - 112
EP  - 117
SN  - 2352-5401
UR  - https://doi.org/10.2991/apte-18.2019.39
DO  - 10.2991/apte-18.2019.39
ID  - Putriani2019/10
ER  -