Introduction: Currently, risky driving behaviour is a major contributor to road crashes and as a result, wide array of tools have been developed in order to record and improve driving behaviour. Within that group of tools, interventions have been indicated to significantly enhance driving behaviour and road safety. This study critically reviews monitoring technologies that provide post-trip interventions, such as retrospective visual feedback, gamification, rewards or penalties, in order to inform an appropriate driver mentoring strategy delivered after each trip. Method: The work presented here is part of the European Commission H2020 i-DREAMS project. The reviewed platform characteristics were obtained through commercially available solutions as well as a comprehensive literature search in popular scientific databases, such as Scopus and Google Scholar. Focus was given on state-of-the-art-technologies for post-trip interventions utilized in four different transport modes (i.e. car, truck, bus and rail) associated with risk prevention and mitigation. Results: The synthesized results revealed that smartphone applications and web-based platforms are the most accepted, frequently and easiest to use tools in cars, buses and trucks across all papers considered, while limited evidence of post-trip interventions in -rail was found. The majority of smartphone applications detected mobile phone use and harsh events and provided individual performance scores, while in-vehicle systems provided delayed visual reports through a web-based platform. Conclusions: Gamification and appropriate rewards appeared to be effective solutions, as it was found that they keep drivers motivated in improving their driving skills, but it was clear that these cannot be performed in isolation and a combination with other strategies (i.e. driver coaching and support) might be beneficial. Nevertheless, as there is no holistic and cross-modal post-trip intervention solution developed in real-world environments, challenges associated with post-trip feedback provision and suggestions on practical implementation are also provided.

简介：目前，危险驾驶行为是导致道路交通事故的主要因素，因此，已经开发了多种工具来记录和改善驾驶行为。在该组工具中，已表明干预措施可显着提高驾驶行为和道路安全。本研究批判性地审查了提供旅行后干预的监控技术，例如回顾性​​视觉反馈、游戏化、奖励或惩罚，以便为每次旅行后提供的适当驾驶员指导策略提供信息。方法：这里介绍的工作是欧盟委员会 H2020 i-DREAMS 项目的一部分。审查的平台特征是通过商用解决方案以及在流行科学数据库（如 Scopus 和 Google Scholar）中进行的综合文献搜索获得的。重点是在与风险预防和缓解相关的四种不同交通方式（即汽车、卡车、公共汽车和铁路）中使用的最先进的旅行后干预技术。结果：综合结果显示，在所有考虑的论文中，智能手机应用程序和基于网络的平台是汽车、公共汽车和卡车中最被接受、最频繁和最容易使用的工具，而发现的铁路旅行后干预的证据有限。大多数智能手机应用程序检测到手机使用和恶劣事件并提供个人性能评分，而车载系统通过基于网络的平台提供延迟的视觉报告。结论：游戏化和适当的奖励似乎是有效的解决方案，因为发现它们使司机有动力提高他们的驾驶技能，但很明显，这些不能孤立地执行，与其他策略（即司机指导和支持）相结合可能会有益。然而，由于没有在现实世界环境中开发的整体和跨模式的旅行后干预解决方案，还提供了与旅行后反馈提供相关的挑战和实际实施建议。