This is the preprint version of our paper on 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). This paper takes Shenzhen Futian comprehensive transportation junction as the case, and makes use of continuous multiple real-time dynamic traffic information to carry out monitoring and analysis on spatial and temporal distribution of passenger flow under different means of transportation and service capacity of junction from multi-dimensional space-time perspectives such as different period and special period. Virtual reality geographic information system is employed to present the forecasting result.
@article{arxiv.1504.01375,
title = {Preprint Traffic Management and Forecasting System Based on 3D GIS},
author = {Xiaoming Li and Zhihan Lv and Jinxing Hu and Baoyun Zhang and Ling Yin and Chen Zhong and Weixi Wang and Shengzhong Feng},
journal= {arXiv preprint arXiv:1504.01375},
year = {2019}
}
Comments
This is the preprint version of our paper on 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). arXiv admin note: substantial text overlap with arXiv:1504.01057