| This signature work project investigates the influence of limited information on the efficacy of traffic signal control algorithms. My project has collected several classic and trending intelligent traffic signal control schemes and evaluated algorithmic performance under constrained data conditions, simulating scenarios where access to certain traffic data is restricted. The findings reveal that although information scarcity generally degrades algorithm performance, algorithms that perform well with comprehensive data maintain their superiority even in data-limited environments. This underscores the critical importance of designing resilient algorithms capable of adapting to varying levels of information availability, offering valuable insights for the development of robust traffic control systems. |
