Preprint WebVRGIS Based Traffic Analysis and Visualization System
Xiaoming Li, Zhihan Lv, Weixi Wang, Baoyun Zhang, Jinxing Hu, Ling, Yin, Shengzhong Feng

TL;DR
This paper presents a Virtual Reality GIS-based system for traffic analysis and visualization that handles large-scale city traffic data, incorporating intelligent analysis and forecasting functions to improve traffic management.
Contribution
It introduces a novel VR GIS system with integrated traffic forecasting and analysis capabilities for managing big city traffic data.
Findings
System effectively visualizes large-scale traffic data
Includes a passenger flow forecasting algorithm
Enhances traffic management through intelligent analysis
Abstract
This is the preprint version of our paper on Advances in Engineering Software. With several characteristics, such as large scale, diverse predictability and timeliness, the city traffic data falls in the range of definition of Big Data. A Virtual Reality GIS based traffic analysis and visualization system is proposed as a promising and inspiring approach to manage and develop traffic big data. In addition to the basic GIS interaction functions, the proposed system also includes some intelligent visual analysis and forecasting functions. The passenger flow forecasting algorithm is introduced in detail.
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Taxonomy
TopicsAdvanced Computing and Algorithms · Simulation and Modeling Applications · Evaluation Methods in Various Fields
