There are major challenges in accident management in Bisha city, due to the large population growth and safety infrastructure, which leads to negative impacts on individuals and communities, including casualties and property damage, as well as psychological effects on victims and their families, which contributes to increasing pressure on health infrastructure and emergency services, which negatively affects sustainable development and the local economy. To address this problem, an intelligent accident management and handling system was proposed based on sensor technology and geographic information systems and the result of a survey conducted on a sample of Bisha residents. These studies showed that the spatial distribution of traffic accidents shows the presence of high-risk areas concentrated in the central region in particular, followed by the southern and western regions of the city. The survey results also showed that response times ranged on average from 30 to 60 minutes, which is classified as ineffective times and a major factor affecting accident management. The proposed system helps detect accidents in real time and transmit location data and accident severity to emergency services. The system uses several sensors including vibration sensors, ultrasonic , GPS and GSM. The system and circuit simulations were also conducted in Arena and Proteus software and showed a significant reduction in response times based on a number of scenarios, achieving an average response time as low as 11-15 minutes. This research highlights the potential of integrating spatial data analysis and advanced sensing technologies to improve road safety and emergency response in Bisha. By adopting this approach, Bisha can enhance its traffic management system, align with the goals of Saudi Vision 2030, and contribute to the development of safer urban environments.