Application and Future Prospects of Geographic Information System (GIS) in Intelligent Transportation

Abstract

Geographic Information System (GIS) is an advanced computer-based technology that integrates spatial data processing with three-dimensional geographic visualization. By combining disciplines such as geography, computer science, and statistics, GIS enables efficient collection, storage, analysis, and visualization of geographic information. This technology plays a crucial role in various domains, particularly in intelligent transportation systems, where it facilitates dynamic traffic monitoring, real-time navigation, and efficient route optimization.As modern transportation evolves, GIS is becoming an essential tool for enhancing data-driven decision-making, improving traffic management, and optimizing urban planning. The ability of GIS to integrate spatial and temporal data allows for the identification of traffic patterns, accident-prone areas, and congestion hotspots, providing valuable insights for transportation authorities. Furthermore, the integration of GIS with the Internet of Vehicles (IoV) represents a key future direction, enabling the creation of dynamic and adaptive transportation networks. By leveraging real-time data exchange, IoV and GIS together can offer solutions to major urban challenges such as traffic congestion, accident prevention, and improving overall travel efficiency.With the continuous advancement of technology, including artificial intelligence and cloud computing, GIS is expected to further evolve, leading to smarter and more adaptive transportation infrastructures. Its applications will extend beyond traffic management to support sustainable urban development, environmental monitoring, and emergency response planning. The integration of GIS with smart city initiatives will contribute to more efficient public transportation systems, reduced environmental impact, and enhanced urban mobility. As a result, GIS is positioned to be a key driver in the development of intelligent transportation networks and the future of smart cities.