AI is continuously developing through the integration of big data, machine learning, and smart systems while transforming numerous industries. Big data encompasses large volumes of data from sources such as social media, sensors, and digital transactions, which the AI systems analyze and use to learn and make decisions. This approach is revolutionizing sectors like healthcare because AI models learn about patients to determine pandemic threats, deliver individualized care, and identify illnesses. With the help of big data and AI, retailers can discover customer’s behaviors and predict stock or demand with high accuracy. At the core of these advancements is a sub-discipline of AI called Machine Learning (ML), an application of artificial intelligence that allows systems to learn from data and evolve over time. Techniques including deep learning, based on multiple-layered neural networks, have transformed the activity of recognition such as the ability of AI to identify objects and scenes or the language processing that is the basis for sophisticated instant message assistant or translation. It yields patterns from large datasets to perform functions which are effectual and intricate like self-driving cars and fraud identification. Furthermore, smart systems are considered one of the significant achievements of AI development since they incorporate AI, big data, and IoT, aiming to develop intelligent solutions that can self-adapt and self-organize. At home, AI controls lighting, heating, and security using the behavior and preferences of the inhabitants to enhance comfort, while at the same time reducing energy consumption. Again, in industries, smart systems are for example in the predictive maintenance where the artificial intelligence uses data from equipment so as to be able to predict possible failures and arrange for a service hence saving on costs and time. These systems empower themselves and work more optimistically in the future than in the past. In the context of healthcare, smart systems adopt the use of artificial intelligence in determining the right diagnosis and subsequent treatments for the patients resulting in better patient outcomes as well as organizational performance. These technologies are expected to achieve tremendous progress as they converge and enable total automation and innovation across different facets of human existence. Additionally, smart traffic systems in smart cities utilize artificial intelligence where traffic is controlled through the use of cameras and sensors for improved traffic flow, decongestion, and safety.
Moreover, incorporation of artificial intelligence, big data and smart systems in the society is revolutionizing our society and workplaces to provide more sophisticated and customized solutions. Smart transportation is transforming how society transits by embedding data analytics, machine learning, and other smart systems into the urban and interurban transportation systems to enhance the quality of travel and to automate what is possible. For instance, in transportation there is the use of ITS (Intelligent Transportation System) that combines the two elements of AI and big data to facilitate means of traffic control, routing and safety measures. Self-driving cars, such as Tesla’s and Waymo models, employ various systems to drive and make decisions on the spot by analyzing camera and sensor data with the goal to recognize the environment and perform driving controls such as lane positioning and avoidance of objects. These vehicles improve their performance from millions of miles of data collected from the road. In addition to specific cars, complex systems operate complexes of transport by constantly receiving data and adjusting signals to control traffic light timing for less congested cities. Information technology specifically big data is important since it provides information from GPS, mobile gadgets and smart structures to help the transportation planner evaluate travel patterns most importantly in organizing the route for both individual and public transportation. Also, highways, roads and streets are built and fitted with sensors to gather information concerning the condition of the roads and traffic congestion which are processes relayed on to other systems which control the traffic signals and recommend the best routes. Smart systems further, use the collected data and integrate into technologies as an approach for understanding and enhancing traffic and safety cohesively. Cars and trucks exchange information and interact with roads and other cars to avoid accidents and to regulate the traffic. Intelligent surveillance systems also employ the use of sophisticated technologies to perform some of the tasks such as toll collection and identification of incidents improving safety as well as effectiveness. Such developments are constantly creating new horizons for the transportation sector with an improved connection which will make it more dynamic and safe ensuring that it possesses all the attributes of a smart ecosystem that is responsive to both the user and the environment. Therefore, the development of AI based on big data, machine learning, and smart systems is opening new opportunities and enhancing our lives. These technologies transform healthcare to transportation and everything in between, improving capabilities and addressing significant challenges. As we move forward and extend these systems and their integration, ethical, privacy, and social implications must be addressed to guarantee that the advantages of applying AI are distributed equally and appropriately. The international conference on AI & Smart Transportation invites original research papers on the following tracks: