Traffic flow simulation at an unsignalized t-junction using monte carlo markov chains

• Main Authors: Ci W.X., Ahmed S.K., Zulkifli F., Ramasamy A.K.
• Other Authors: 36070257800
• Format: Conference paper
• Published: 2023
• Subjects: Bayesian networks; Image processing; Imaging systems; Markov processes; Monte Carlo methods; Satellite communication systems; Traffic surveys; Complex systems; Congested traffic; Exact solution; Monte Carlo Markov chain; Probability theory; Queuing systems; Simulation technique; T junctions; Traffic flow simulation; Flow simulation

Congested traffic conditions are a daily nuisance of modern life. Reduction of these congestions will lead to a less stressful and healthier commute. Before mitigating solutions can be obtained, the problem needs to be understood and analyzed. Exact solutions based on probability theory and queuing systems are difficult to obtain for even moderately complex systems. Further for complex systems, insight into system behaviour is not very clear. In this paper, a simulation technique based on the Monte Carlo Markov Chain is applied to an unsignalized T-junction. It is noticed that a "small" number of simulations are sufficient to understand the behavior of the system. This simple yet powerful method offers several options and hence, is very appealing. The method can be easily extended to other types of systems as well.