Transportation Research Part D: Transport and Environment ( IF 7.3 ) Pub Date : 2024-01-30 , DOI: 10.1016/j.trd.2024.104076 Yali Zhang , Rui Fu , Yingshi Guo , Wei Yuan
High energy consumption and low traffic efficiency are often caused by acceleration, deceleration, and secondary parking that do not consider traffic conditions in advance after exiting a station. To overcome this problem, this study establishes an eco-driving control strategy for the signalized intersection with a station. First, a control strategy before entering the station is established. Second, based on V2X, the decision-making model for the non-stop passing of the signalized intersection is established. Afterward, based on NSGA-II, an acceleration/deceleration strategy is established to obtain the eco-velocity curve. Finally, the effectiveness of the proposed strategy is verified based on natural driving data and other eco-driving strategies at intersections. The results show that the proposed eco-driving strategy not only saves 21.11 % of energy and 16.1 s of time compared to natural driving, but also saves an average of 5.83 % of energy compared to other eco-driving strategies at intersections.
中文翻译:
车站信号交叉口联网电动公交车的生态驾驶策略
能耗高、通行效率低,往往是由于出站后不提前考虑交通状况的加速、减速、二次停车等造成的。为了克服这个问题,本研究建立了一种针对车站信号交叉口的环保驾驶控制策略。首先,建立进站前的控制策略。其次,基于V2X,建立信号交叉口不间断通行决策模型。然后,基于NSGA-II,建立加减速策略以获得生态速度曲线。最后,基于路口自然驾驶数据和其他生态驾驶策略验证了所提策略的有效性。结果表明,所提出的生态驾驶策略不仅比自然驾驶节省了21.11%的能源和16.1 s的时间,而且与路口其他生态驾驶策略相比平均节省了5.83%的能源。