Recent developments in wireless communication, artificial intelligence and sensor construction present researchers of transportation systems with an unprecedented opportunity to explore new approaches towards the development of novel intersection management systems. Due to the lack of freely accessible software tools, these systems are often implemented and tested over custom-built network models. This in turn makes the evaluation results of these systems difficult to compare. To overcome this issue, in this paper, we present Traffic Control Test Bed (TCTB), an open- source simulation platform for evaluating intersection control systems. The platform consists of four components: A road network database including both synthetic and real-world examples, a set of traffic demand specifications, a library of intersection control systems/algorithms, and a set of software APIs developed to execute simulations within the context of the test bed. The test bed is built on the open source microsimulation software SUMO. As well as being an arena for traffic control algorithms, the open-source property of the platform also invite contributions from the wider research community to improve execution validity and efficiency. We conclude the paper with a case study of a road section in central Milton Keynes to demonstrate the usage of TCTB.