A markov chain based traffic flow control model for reducing vehicles' CO₂ emissions

Unsuitable signalized intersection traffic lights control strategies lead to longer waiting time before vehicles driving through the signal intersections, and the long waiting time brings us many issues, such as traffic jams, more CO₂ emissions. Hence how to reduce the waiting time becomes critical. In this paper, we propose a Markov chain based traffic flow evacuation model that aims at minimizing vehicles' CO₂ emissions. Here suppose we are able to obtain the steady state probability p₁ of vehicles arriving at the signalized intersection and the probability pcross that vehicles can drive through the signalized intersection. Then we propose a vehicles' speed control model, it's obtained with favourable performance about vehicles' CO₂ emissions through these. Simulations are conducted to verify the performances of the proposed scheme and superior performance could be observed comparing with the competing scheme in typical network scenarios.