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Stop-and-go traffic can cause a significant amount of pollutant emissions due to frequent accelerations and decelerations. Various efforts have been made to smooth traffic flow and reduce air emissions and fuel consumption in stopand-go conditions. In this paper, we propose a cooperative algorithm based on inter-vehicle communications (IVCs) to suggest advisory speed for the purpose of smoothing vehicle’s speed profile without sacrificing the transportation efficiency. By utilizing the preceding vehicle’s information, the algorithm extract the period of fluctuations and estimate the average speed of traffic flow to provide an appropriate speed suggestion. In simulation, our algorithm is evaluated with realworld traffic data. The results demonstrate the effectiveness of our algorithm and show that the CO2 emissions can be reduced by up to 26.9% while the fuel consumption can be saved by 24% to 28%.

An Inter-vehicle Communication Based Cooperative Speed Suggestion Algorithm for Smoothing Fluctuations in Stop-and-go Traffic