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Data Visualization and Interaction of Urban Traffic Logistics Management System Using WebGIS.
1Industrial Design Engineering, Kunming University of Science and Technology, Kunming 650000, China.
Computational Intelligence and Neuroscience
|July 7, 2022
Summary
This study explores WebGIS for urban traffic logistics, finding it practical for route assignment and intelligent interaction. The developed system offers efficient data management and enhanced vehicle information display for intelligent transportation.
Area of Science:
- Urban planning and logistics
- Geographic Information Systems (GIS)
- Transportation engineering
Background:
- Managing large urban transportation and logistics data presents significant challenges.
- Existing systems may lack the interactive capabilities needed for efficient urban traffic management.
Purpose of the Study:
- To investigate the applicability of Web-based Geographic Information Systems (WebGIS) for urban traffic logistics.
- To enhance intelligent interactive urban traffic and logistics management systems.
Main Methods:
- Designed an urban traffic logistics management system utilizing WebGIS.
- Implemented and evaluated shortest path algorithms (Dijkstra, Floyd) and road assignment algorithms.
- Compared system performance against commercial software (TransCAD, Cube).
Main Results:
- Dijkstra's algorithm demonstrated superior performance over Floyd's algorithm in terms of speed.
- The 'no road assignment' algorithm exhibited the lowest average time consumption (264.43 ms).
- The WebGIS system showed practical value and effective interactive functions, including vehicle information display.
Conclusions:
- WebGIS is a viable tool for developing intelligent urban traffic and logistics management systems.
- The developed system provides a practical and interactive solution for route assignment and data visualization.
- Findings offer a scientific basis for future advancements in intelligent transportation systems.
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