Preprint Traffic Management and Forecasting System Based on 3D GIS

TL;DR

This paper presents a traffic management and forecasting system using 3D GIS for Shenzhen's transportation junction, integrating real-time data and virtual reality visualization to analyze passenger flow patterns.

Contribution

It introduces a novel 3D GIS-based system that combines real-time traffic data with virtual reality visualization for comprehensive traffic analysis and forecasting.

Findings

Effective monitoring of passenger flow distribution.

Enhanced visualization of traffic forecasts using VR.

Insights into transportation capacity and temporal patterns.

Abstract

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.