V2x Decision Support System: An Algorithmic Solution

While the urban mobility struggles with its efficiency and safety, the Vehicle-to-Everything (V2X) communication opened a new era of innovation and transformative solutions to complex transportation challenges. This research proposes an algorithmic traffic decision support system for the V2X communication to enhance both the efficiency and safety of urban transportation networks. This study seeks not only improving travel time but also fortifying users' safety in the cases of adverse weather conditions and other unforeseen hazards. Through the experimentation with Python programming, the result of the proposed algorithm exhibits notable efficiency in responding to adverse conditions by seamlessly integrating risk detection and emergency response capabilities into its framework. The findings also ignite some arguments may be caused by this research so that it needs the intensive discussions for innovatory changes in the fields of the transportation industries and the future urban planning.