Machine Learning in Transportation

Machine learning in transportation involves using algorithms to analyze large amounts of data related to travel and movement. By recognizing patterns in this data, machine learning can optimize vehicle routing, predict traffic conditions, and enhance safety. For example, it helps self-driving cars navigate by processing real-time information from sensors. Additionally, it can improve public transport efficiency by analyzing passenger behavior and adjusting schedules. Overall, machine learning transforms how we manage and interact with transportation systems, making them smarter and more efficient.