On the Spatial Temporal Graph Neural Network Analysis Together with Local Vertex Irregular Reflexive Coloring for Time Series Forecasting on Passenger Density at Bus Station
- DOI
- 10.2991/978-94-6463-174-6_22How to use a DOI?
- Keywords
- spatial temporal graph neural network; local vertex irregular reflexive coloring; time series forecasting; passengers density anomaly
- Abstract
The transportation problem that occurs in urban areas is how to meet the demand for the increasing number of trips and avoid traffic jams on the highway. In Indonesia, traffic density occurs during office hours, holidays, and national holidays. The solution to this problem is to use an effective public transportation service, one of which is the bus. Infrastructure for bus transportation includes roads, bridges, bus stops, and bus station. Bus station is one of the transportation systems that has the main function as a place to stop public transportation to pick up and drop passengers to the final destination of the trip. In this paper, we discuss the application of the concept of Spatial Temporal Graph Neural Network (STGNN) together with Local Vertex Irregular Reflexive Coloring (LVIRC) to analyze the passengers density anomaly of in bus station. The results shows that the use of the Spatial Temporal Graph Neural Network with Local Vertex Irregular Reflexive Coloring (LVIRC) are effective tools for forcasting the passengers density anomaly with the best model is generated by ANN-657 cascadeforwardnet, with a test MSE of 9.4982
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Adidtiya Dwi Harliyuni AU - Dafik AU - Slamin AU - Zainur Rasyid Ridlo AU - Ridho Alfarisi PY - 2023 DA - 2023/05/22 TI - On the Spatial Temporal Graph Neural Network Analysis Together with Local Vertex Irregular Reflexive Coloring for Time Series Forecasting on Passenger Density at Bus Station BT - Proceedings of the 1st International Conference on Neural Networks and Machine Learning 2022 (ICONNSMAL 2022) PB - Atlantis Press SP - 305 EP - 323 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-174-6_22 DO - 10.2991/978-94-6463-174-6_22 ID - Harliyuni2023 ER -