【作者】 邹渊； 张涛； 张旭东； 郭宁远；

【Author】 Zou Yuan;Zhang Tao;Zhang Xudong;Guo Ningyuan;Beijing Institute of Technology;China North Vehicle Research Institute;

【机构】 北京理工大学； 中国北方车辆研究所；

【摘要】 网联车辆在城市道路信号交叉口处的生态进入和离开(Eco-approach and departure,EAD)是未来节能驾驶研究的热点问题。针对车流排队导致车辆在路口停车的问题,本文首先提出一种考虑车流排队效应的路口有效通行时间的信号灯模型;然后,利用递归搜索算法筛选特定的连续路口通行组合方案,以降低优化问题的复杂性;最后,利用伪谱法分析电动网联车辆在单交叉口和连续交叉口处的节能速度优化问题。结果表明,基于伪谱法的控制策略计算效率优于动态规划算法;与智能驾驶员模型基准相比,该控制策略可以产生更好的节能速度。更多还原

【Abstract】 Eco-approach and departure(EAD) at urban signalized intersection of connected vehicles is a hot issue in the future of vehicle eco-driving research.In view of the problem that traffic queuing leads to connected vehicles stopping at intersections,a signal model of effective crossing time considering the queuing effect is proposed in this paper,and a recursive search algorithm is used to screen the specific combination scheme of continuous crossing traffic,so as to reduce the complexity of optimization problem.Finally,pseudo-spectral method is used to simulate and analyze the energy saving speed optimization of electric connected vehicles at single and multiple intersections.The results show that the optimization algorithm based on pseudo-spectrum method is more efficient than the dynamic programming algorithm.Compared with the intelligent driver model,this control strategy can produce better energy saving speed.更多还原