Traffic Dataset for Dynamic Routing Algorithm in Traffic Simulation
The purpose of this research is to create a simulated environment for teaching algorithms, big data processing, and machine learning. The environment is similar to Google Maps, with the capacity of finding the fastest path between two points in dynamic traffic situations. However, the system is sign...
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| Published in: | Journal of Artificial Intelligence and Technology |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
29.07.2022
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| ISSN: | 2766-8649, 2766-8649 |
| Online Access: | Get full text |
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| Summary: | The purpose of this research is to create a simulated environment for teaching algorithms, big data processing, and machine learning. The environment is similar to Google Maps, with the capacity of finding the fastest path between two points in dynamic traffic situations. However, the system is significantly simplified for educational purposes. Students can choose different traffic patterns and program a car to navigate through the traffic dynamically based on the changing traffic. The environments used in the project are VIPLE (Visual IoT/Robotics Programming Language Environment) and a traffic simulator developed in the Unity game engine. This paper focuses on creating realistic traffic data for the traffic simulator and implementing dynamic routing algorithms in VIPLE. The traffic data is generated from the recorded real traffic data published on the Arizona Maricopa County website. Based on the generated traffic data, VIPLE programs are developed to implement the traffic simulation with support for dynamic changing data. |
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| ISSN: | 2766-8649 2766-8649 |
| DOI: | 10.37965/jait.2022.0106 |