In the realm of intelligent transportation systems, vehicle-to-infrastructure technology is a cornerstone for improving road safety. However, it also highlights the need for effective task offloading strategies across the edge-fog-cloud continuum. This paper presents a testbed for evaluating task allocation algorithms designed to optimize resource utilization while meeting real-time requirements. Therefore, a simulated V2I environment testbed has been developed to demonstrate and evaluate the potential of different algorithms to improve computational efficiency across the continuum. Our results therefore include an implemented testbed system to emulate, test, and evaluate different algorithms, laying a foundational step towards more sophisticated offloading strategies in the future. This will enable future research and further advances in optimizing communication and computation across the edge-fog-cloud continuum.