International Journal of Simulation and Process Modelling | 2021
Traffic jam prediction using hazardous material transportation management simulation
Abstract
Hazardous materials endanger human lives and the environment, but they are necessary to modern life. Transporting hazardous materials through high-density cities increases the risks of accidents, leakages, or explosions; therefore, their transportation requires surveillance and complex traffic management. Computational simulation prediction is an effective support in reducing risks and finding the optimal solution. To consider the simulation reliable, a methodology considers planning, modelling, verification and validation and application. The model was built by adding complexity and the simulated results are analysed and compared for real-world traffic performance. The results show the influence of improvements in traffic management on traffic jam reduction. The advanced simulation system makes a huge contribution to reducing traffic jams and their consequences on fuel consumption and greenhouse gas emissions.