Traffic Management by GIS

Managers have recognized the benefits of GIS-based traffic and incident management systems in operating highways at optimal efficiency. GIS may play a critical role in the development of successful traffic control techniques. GIS is great for obtaining a full picture of current traffic conditions because of its ability to combine data streams and offer dashboard views. For example, traffic managers can visually monitor bottlenecks and related data in order to respond rapidly to vehicle problems. Furthermore, these perspectives may be shared with the general public through the internet, providing drivers with the most up-to-date information about road closures and current travel conditions.

Finding the correct balance between the necessity to accommodate demand on public infrastructure and the obligation to protect your community's quality of life and environmental sustainability is difficult. GIS technology provides a wealth of analytical and visual capabilities to assist you in meeting this problem.

By combining maintenance and work order management systems with GIS, modern highway management agencies have increased production and efficiency. Maintenance management systems provide more effective maintenance activity scheduling and tracking of work tasks, employees, equipment, and material consumption, as well as assisting managers in understanding and reporting their total maintenance operations.

The most recent mobility legislation lays a strong focus on increasing the degree of safety on the nation's highways. Highway authorities can utilize GIS to collect and analyze traffic accident data, as well as identify high-accident highway section areas. GIS, in conjunction with sophisticated statistical analysis and business intelligence technology, helps highway engineers better understand the causes of accidents at these sites and create strategies to decrease them.

Analysis Capture: Dell’Olmo, P., Ricciardi, N., & Sgalambro, A. (2014). A multiperiod maximal covering location model for the optimal location of intersection safety cameras on an urban traffic network. Procedia-Social and Behavioral Sciences, 108, 106-117.