Title: Traffic jam prediction using hazardous material transportation management simulation

Authors: Luiz Antonio Reis; Sergio Luiz Pereira; Eduardo Mario Dias; Maria Lídia Rebello Pinho Dias Scoton

Addresses: Polytechnic School of the University of São Paulo, Automation Technologies and Management Processes (PEA/GAESI), Av. Prof. Luciano Gualberto, Travessa 3, 158. Sala A2-18 Cidade Universitária, 05508-900, São Paulo – SP, Brazil ' Polytechnic School of the University of São Paulo, Automation Technologies and Management Processes (PEA/GAESI), Av. Prof. Luciano Gualberto, Travessa 3, 158. Sala A2-18 Cidade Universitária, 05508-900, São Paulo – SP, Brazil ' Polytechnic School of the University of São Paulo, Automation Technologies and Management Processes (PEA/GAESI), Av. Prof. Luciano Gualberto, Travessa 3, 158. Sala A2-18 Cidade Universitária, 05508-900, São Paulo – SP, Brazil ' Polytechnic School of the University of São Paulo, Automation Technologies and Management Processes (PEA/GAESI), Av. Prof. Luciano Gualberto, Travessa 3, 158. Sala A2-18 Cidade Universitária, 05508-900, São Paulo – SP, Brazil

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.

Keywords: computer simulation; hazardous material transportation; queuing theory; simulation methodology; traffic engineering; traffic jam prediction.

DOI: 10.1504/IJSPM.2021.117336

International Journal of Simulation and Process Modelling, 2021 Vol.16 No.3, pp.256 - 269

Received: 19 Feb 2021
Accepted: 17 Apr 2021
Published online: 31 Aug 2021 *

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