Climate change plays a significant role in road safety and traffic conditions. As a result, it is essential for drivers to adjust their driving behavior and driving routes to adapt to changing road conditions due to climate fluctuations. Accordingly, it is a must for decision-makers and policymakers to consider all road safety procedures during designing and maintaining roads to minimize the risk of accidents. In addition, drivers should be continuously notified of safe routes during various climate change conditions so that they can choose the safest routes that will eventually reduce the probability of road accidents and save lives. Besides, road safety procedures play a major role in intelligent transportation systems (ITS) as these safety procedures aim always to improve the efficiency and sustainability of transportation networks. This work presents the development of a revolutionary learning-based mobile notification system called MotionCaution. The MotionCaution aims to alert drivers promptly when detecting the climate fluctuations that make the driver’s roads risky and increase the possibility of accidents. The system is mainly built on real-time analytics that generate road risk assessment, and based on that the drivers in risky situations are notified in different ways such as push notifications, SMS, and emails. Besides, the system suggests alternative safe routes for drivers to follow to avoid possible accidents.