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This review paper delves into the challenges and opportunities associated with multimedia transmission in vehicular ad hoc networks (VANETs), with a particular focus on audio-visual transmission using IEEE 802.11p. The currently deployed message dictionaries for VANETs only allow for textual exchange. By examining current research in the field of multimedia transmission within transportation systems, we explore the technical issues, challenges, and opportunities involved in transmitting audio-visual-enhanced emergency notifications to transportation users. Additionally, we shed light on the challenges related to video transmission in VANETs and propose focused research areas where Artificial Intelligence can be applied to address the bandwidth constraints imposed by devices. This work makes three significant contributions. Firstly, it presents a detailed comparison between video and image transmission, highlighting their respective strengths and limitations. Secondly, it identifies and discusses the challenges associated with multimedia transmission, emphasizing the need for quality of service and resource availability. Lastly, it examines the opportunities for using intelligence at the edge for transmitting short clips of audio-visual emergency notifications within VANETs to support new services that can coexist with the currently deployed message dictionaries.