The need of developing systems that address traffic matters such as traffic control and accidents has led to the development of a number of techniques, methods and tools to address road usability issues. Many automated models have been proposed and applied in different scenarios such as road oddities. Despite of the advantages of these models the major problem of road accidents continue to pose problem globally. This has created the need to come up with more user-effective approaches to address road accidents. Main objective of this research therefore is to identify and address the gap in Location Based Services (LBS). A model that combines RFID and GPS technology to provide Location Based Services via audio alerts to drivers as they approach black spots is presented. The model provides location based services to drivers as they approach black spots causing them to adjust their driving accordingly (i.e. speeding, overtaking). Since LBS technologies have different limitations, most researchers have focused on addressing accuracy limitation by proposing hybrid technologies. Accuracy requirement varies depending on application area. The analysis of the different technologies revealed that in vehicle transportation medium accuracy is effective. This research focused on availability aspect which is a key requirement in LBS. To achieve this a model made up of RFID & GPS is formulated. Higher availability of significant alerts at black spots is registered through simulation as compared to alerts when the technologies are applied separately. Black spot accidents are therefore managed due to safer driving around black spots. This can lead to reduction in exposure to accidents, likelihood of occurrence and impact in the event of an incident. Usability metrics is used to determine effectiveness of the model.

开发解决交通问题（例如交通控制和事故）的系统的需求导致开发了许多技术、方法和工具来解决道路可用性问题。许多自动化模型已经被提出并应用于不同的场景，例如道路奇点。尽管这些模型具有优势，但道路事故的主要问题仍然在全球范围内构成问题。这就需要提出对用户更有效的方法来解决道路事故。因此，本研究的主要目的是识别和解决基于位置的服务 (LBS) 的差距。提出了一种结合 RFID 和 GPS 技术的模型，通过在驾驶员接近黑点时通过音频警报向驾驶员提供基于位置的服务。该模型在驾驶员接近黑点时为他们提供基于位置的服务，从而使他们相应地调整驾驶（即超速、超车）。由于 LBS 技术具有不同的局限性，因此大多数研究人员都专注于通过提出混合技术来解决准确性限制。精度要求因应用领域而异。对不同技术的分析表明，在车辆运输中，中等精度是有效的。本研究侧重于可用性方面，这是 LBS 的关键要求。为了实现这一点，制定了一个由 RFID 和 GPS 组成的模型。与单独应用这些技术时的警报相比，通过模拟记录了在黑点的重要警报的更高可用性。因此，由于在黑点周围更安全地驾驶，黑点事故得到了管理。这可以减少事故的风险、发生的可能性和事故发生时的影响。可用性指标用于确定模型的有效性。