Smart Survey Model of Average Daily Traffic (ADT) for Pavement Planning and Monitoring
- 10.2991/aer.k.210810.001How to use a DOI?
- Traffic Volume Survey, Smart Survey Modelling, Internet of Things (IoT), Pavement Planning, Monitoring
Daily traffic volume surveys for the planning and supervision of manual paving require work, time and are not cheap. Furthermore, the accuracy and speed of data collection are not timely. This study aims to bring a smart survey model that automatically collects and processes data on the daily volume of traffic in real time. The methodology used to model the survey process using smart devices, microcontrollers, sensors, Internet, cloud programming, and customer servers. The model survey process is divided into Part 1, Data collection and Part 2, to handle the axle load of each vehicle. The data is sent via the cloud access point; the cloud data are processed by the server. The model provides traffic volume data with speeds of up to 67.4 Mbps, 98 percent accuracy, and data processing results for monitoring the paving age in real time.
- © 2021, 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
TY - CONF AU - Arthur Daniel Limantara AU - Tjahjaning Tingastuti Surjosuseno AU - Bambang Subiyanto AU - Fauzie Nursandah AU - Sri Wiwoho Mudjanarko AU - Muhammad Ikhsan Setiawan AU - Nawir Rasidi PY - 2021 DA - 2021/08/11 TI - Smart Survey Model of Average Daily Traffic (ADT) for Pavement Planning and Monitoring BT - Proceedings of the 2nd Borobudur International Symposium on Science and Technology (BIS-STE 2020) PB - Atlantis Press SP - 1 EP - 5 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.210810.001 DO - 10.2991/aer.k.210810.001 ID - Limantara2021 ER -