Stop-and-go交通场景中基于车间通信平滑速度波动的节能减排算法

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 stop-and-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 real-world traffic data. The results demonstrate the effectiveness of our algorithm and show that the carbon dioxide emissions can be reduced by up to 26.9% while the fuel consumption can be saved by 24% to 28%.