Personalized public transportation routing based on user preferences and real-time data
Traditional public transportation routing does not take into account user preferences or real-time data, leading to inefficient and frustrating commutes. This startup idea aims to provide personalized routing options based on user preferences, such as preferred modes of transportation, shortest or scenic routes, or avoidance of crowded areas. By integrating real-time data on transportation schedules, traffic conditions, and user preferences, this startup can revolutionize the way people plan their commutes and reduce frustration. The market size for intelligent transportation systems is estimated to reach $46.72 billion by 2027, with a CAGR of 16.4%.
Intelligent transportation systems
United States
