Traffic Dataset and Dynamic Routing Algorithm in Traffic Simulation

查看全文 作　　者：Zhemin [1]Zhang;Gennaro De [2]Luca;Brian [1]Archambault;Juan [3]MChavez;and Brandon [4]Rice

机构地区：[1]School of Computing and Augmented Intelligence,Arizona State University,Tempe,USA;[2]Polytechnic School,Arizona State University,Mesa,USA;[3]Andersen Corporation,Arizona,USA;[4]Holcombe Department of Electrical and Computer Engineering,Clemson University,South Carolina,USA

出　　处：《Journal of Artificial Intelligence and Technology》索引2022年第2卷第3期,共12页

摘　　要：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 Visual IoT/Robotics Programming Language Environment(VIPLE)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 are 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. 关键词：computer science education dynamic routing traffic dataset path planning traffic simulation

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Traffic Dataset and Dynamic Routing Algorithm in Traffic Simulation

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