In this paper, we studied the relationship between Vehicle Total Time (VTT) and the traffic conditions for signalized intersection. VTT is the duration that a vehicle remains associated with road side unit RSU through group leader. As the vehicle travels along an intersection and encounters different degrees of delay (i.e. different traffic conditions), the value of VTT varies accordingly. Intuitively, the higher value of VTT indicates the worse degree of traffic condition. This study, investigates the ways to estimate the traffic condition of an intersection based on the measurements of VTT taken from Vehicle to Everything V2X protocol of the COLOMBO project. Specifically, we estimate the traffic conditions of an intersection based on average speed and its derivative (acceleration) using fuzzy logic. The proposed method is evaluated using a well known network simulator benchmark (ns3). The simulation results reveal that VTT can be used with data fusion techniques to estimate the traffic conditions of an intersection with good accuracy even under low penetration rates (PR). This is comparable to a similar technique used in COLOMBO to abstract the traffic conditions of an intersection based on average speed. As a result, this study suggests a potential use of VTT as traffic indicator for signal control design in the future work.