Traffic jam prediction using hazardous material transportation management simulation. (26th August 2021)

• Record Type: Journal Article
• Authors: Reis, Luiz Antonio; Pereira, Sergio Luiz; Dias, Eduardo Mario; Scoton, Maria Lídia Rebello Pinho Dias
• Is Part Of: International journal of simulation and process modelling. Volume 16:Number 3(2021)
• Page Start: 256
• Page End: 269
• Publication Date: 2021-08-26
• Subjects: computer simulation -- hazardous material transportation -- queuing theory -- simulation methodology -- traffic engineering -- traffic jam prediction; Management -- Computer simulation -- Periodicals; Mathematical models -- Periodicals; Operations research -- Periodicals; Simulation methods -- Periodicals; 003.05
• Languages: English
• ISSNs: 1740-2123

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.