A survey of urban traffic signal control for agent recommendation system

Dynamic changes and uncertainty in traffic environments directly spawned lots of strategies about traffic signal control (TSC). Meanwhile, the differences in the traffic environment and demand of control have a significant impact on the performance of strategies about TSC. In order to enable dynamic selection of the most appropriate TSC agents for each specific traffic state in urban traffic transportation system, we firstly propose a survey about urban TSC, which helps us to understand the characteristics of TSC strategies. This survey focuses on the traffic environment about the application of TSC and the demand of TSC. Then, based on the aforementioned survey, we propose one recommendation mechanism for agent-based distributed and adaptive platform for transportation systems to adapt to traffic dynamic characteristic.