CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation
Chumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Kan Wu, Yuhao Du, Fuliang Li, Zhenhui Jessie Li
Abstract
Traffic simulation provides interactive data for the optimization of traffic control policies. However, existing traffic simulators are limited by their lack of scalability and shortage in input data, which prevents them from generating interactive data from traffic simulation in the scenarios of real large-scale city road networks.
Topics & Concepts
ScalabilityComputer scienceEconomic shortageTraffic generation modelScale (ratio)Network traffic simulationControl (management)Traffic optimizationTraffic simulationTraining (meteorology)Floating car dataNetwork traffic controlReal-time computingComputer networkTransport engineeringTraffic congestionArtificial intelligenceMicrosimulationEngineeringDatabaseLinguisticsQuantum mechanicsGovernment (linguistics)PhilosophyPhysicsNetwork packetMeteorologyTraffic control and managementTraffic Prediction and Management TechniquesVehicular Ad Hoc Networks (VANETs)