Adaptive streaming is a technique used in multimedia over computer networks where the source content is encoded to decide about which bit rate segments to download, through algorithms. The contribution of this work is the investigation about which and why an adaptation algorithm can be included running as service, aiming to relax network congestion while improving the user experience at onboard entertainment services. The goal of this present paper was to analyze the multimedia service delivery, to evaluate vehicular Internet-based video services traffic in urban scenarios with different vehicle densities, and to perform vehicle communication simulations in 5G network to estimate the metrics about the selected algorithm in this study that are: amount of playback interruptions, video quality, quality of transitions, average buffer level, average bit rate and bit rate switching frequency, throughput, unfairness, instability, and inefficiency. The results have shown PANDA as the best adaptive streaming algorithms to perform videos in vehicular communications in urban scenarios.