Generating traffic data for any city using SMARTS simulator

Author:

Xie Hairuo1,Tanin Egemen1,Ramamohanarao Kotagiri1,Karunasekera Shanika1,Kulik Lars1,Zhang Rui1,Qi Jianzhong1

Affiliation:

1. University of Melbourne, Australia

Abstract

We have recently developed a flexible traffic simulator called Scalable Microscopic Adaptive Road Traffic Simulator (SMARTS) [13]. Among many important features of SMARTS in this article, we focus on traffic generation, which is key in analyzing and understanding traffic. SMARTS is a fully distributed simulator that can run on a computer cluster, enabling it to perform large-scale simulations faster than real time. SMARTS has a number of features that empower users to build realistic simulations. For example, users can download road map data for an arbitrarily chosen area for traffic simulation.

Publisher

Association for Computing Machinery (ACM)

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Managing the Future: Route Planning Influence Evaluation in Transportation Systems;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. Deep Learning for Generating Synthetic Traffic Data;Lecture Notes in Networks and Systems;2024

3. Simulation framework for connected vehicles: a scoping review;F1000Research;2023-02-16

4. Generation of Synthetic Urban Vehicle Trajectories;2022 IEEE International Conference on Big Data (Big Data);2022-12-17

5. Simulation framework for connected vehicles: a scoping review;F1000Research;2021-12-09

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