Eco-driving through multiple intersections has significant fuel benefit for road transportation. Most existing studies assume that vehicles travel at a constant speed between intersections, which naturally leads to large errors in fuel prediction and trajectory planning. This article focuses on eco-driving operation through multiple signalized intersections considering more realistic powertrain dynamics, which directly contain the engine and the transmission as well as aerodynamic drag, rolling resistance, and so on. This feature enables explicit descriptions of dynamic behaviors and fuel characteristics in acceleration, deceleration, and constant speed driving. An open-loop optimal control problem (OCP) is formulated to minimize fuel consumption between two red-signalized intersections, and the two- or three-stage operation rules are then proposed to approximate its optimal solution. The eco-driving of passing multiple intersections is then numerically solved by combining the two- or three-stage driving rule and the Dijkstra algorithm. This method can consider the acceleration and deceleration processes at each intersection and achieve improved fuel economy.

中文翻译：

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多个信号交叉口之间具有V2I通信的互联车辆的生态驾驶操作

通过多个交叉路口进行生态驾驶可为公路运输带来可观的燃料收益。现有的大多数研究都假设车辆在交叉路口之间以恒定速度行驶，这自然会导致燃料预测和轨迹规划出现较大误差。本文重点介绍了通过多个信号交叉口进行的生态驾驶操作，其中考虑了更逼真的动力总成动力学特性，这些动力学特性直接包含发动机和变速箱以及空气动力学阻力，滚动阻力等。此功能可对加速，减速和恒速行驶中的动态行为和燃油特性进行清晰的描述。制定了开环最优控制问题（OCP），以最大程度地减少两个红色信号交叉口之间的燃料消耗，然后提出两阶段或三阶段操作规则，以近似其最佳解决方案。然后，通过将两阶段或三阶段驾驶规则与Dijkstra算法相结合，以数值方式解决通过多个交叉路口的环保驾驶问题。该方法可以考虑每个交叉路口的加速和减速过程，从而提高燃油经济性。