Abstract
This paper describes a generic simulation platform for testing traffic management protocols on road networks with autonomous vehicles. Firstly, we introduce a formal model to represent a road network as a directed multigraph. We then describe traffic management protocols in terms of the priority over roads or vehicles. Based the model, we developed a system that can simulate complex road networks with traffic of autonomous vehicles under the management of different traffic control protocols in different intersections. The system was build up on the existing platform AIM4. With the simulation system, we can test a variety of properties of traffic management protocols from macro and micro perspectives of traffic network with autonomous vehicles.
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Although the system can take any input of a road graph and a configuration of priorities, the capacity of roads and vehicles are limited by computer hardware and GUI setting.
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Qiao, J., Zhang, D., de Jonge, D. (2022). Priority-Based Traffic Management Protocols for Autonomous Vehicles on Road Networks. In: Long, G., Yu, X., Wang, S. (eds) AI 2021: Advances in Artificial Intelligence. AI 2022. Lecture Notes in Computer Science(), vol 13151. Springer, Cham. https://doi.org/10.1007/978-3-030-97546-3_20
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