Social media is a pool of users’ thoughts, opinions, surrounding environment, situation and others. This pool can be used as a real-time and feedback data source for many domains such as transportation. It can be used to get instant feedback from commuters; their opinions toward the transportation network and their complaints, in addition to the traffic situation, road conditions, events detection and many others. The problem is in how to utilize social media data to achieve one or more of these targets. A systematic review was conducted in the field of transportation-related research based on social media analysis (TRR-SMA) from the years between 2008 and 2018; 74 papers were identified from an initial set of 703 papers extracted from 4 digital libraries. This review will structure the field and give an overview based on the following grounds: activity, keywords, approaches, social media data and platforms and focus of the researches. It will show the trend in the research subjects by countries, in addition to the activity trends, platforms usage trend and others. Further analysis of the most employed approach (Lexicons) and data (text) will be also shown. Finally, challenges and future works are drawn and proposed.

社交媒体是用户的想法、意见、周围环境、情况等的集合。该池可用作交通等许多领域的实时反馈数据源。它可用于获取通勤者的即时反馈；他们对交通网络的看法和投诉，以及交通状况、路况、事件检测等。问题在于如何利用社交媒体数据来实现其中一个或多个目标。基于社交媒体分析（TRR-SMA）对2008年至2018年间交通相关研究领域进行了系统回顾；从 4 个数字图书馆提取的 703 篇论文中，最终确定了 74 篇论文。本综述将根据以下方面构建该领域并进行概述：活动、关键词、方法、社交媒体数据和平台以及研究重点。除了活动趋势、平台使用趋势等之外，还将显示各国研究主题的趋势。还将显示对最常用方法（词典）和数据（文本）的进一步分析。最后，提出并提出挑战和未来的工作。