Low latency is required for connected and intelligent vehicle applications. For instance, safety applications have strict latency requirements. Mobile edge computing (MEC) improves the latency by bringing the computational resources closer to the data source. However, despite the improvements in latency by MEC, the latency will vary based on traffic load and signal conditions. We seek to answer the question: is the current latency environment acceptable for our application? This paper presents our Reliable Latency Decision (ReLaDec) algorithm. ReLaDec uses prior information and the last latency samples to decide whether the latency will be acceptable to our application. The decisions are done with predictable confidence and with ReLaDec the false positive decision rate never exceeds the set maximum value. We demonstrate the performance of the algorithm using 860000 latency samples that include stationary and driving data over multiple USA states.