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Eco-Approach and Departure System for Left-Turn Vehicles at a Fixed-Time Signalized Intersection

机译:固定时间信号交叉口左转车辆的生态进出系统

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This research proposed an eco-approach and departure system for left-turn vehicles at a fixed-time signalized intersection. This system gives higher priority to enhancing traffic safety than improving mobility and fuel efficiency, and optimizes the entire traffic consisted of connected and automated vehicles (CAVs) and conventional human-driven vehicles by providing ecological speed trajectories for left-turn CAVs. All the ecological speed trajectories are offline optimized before the implementation of system. The speed trajectory optimization is constructed in Pontryagin’s Minimum Principle structure. The before and after evaluation of the proposed system shows the percentage of vehicles that drive pass the intersection at safe speed increases by 2.14% to 45.65%, fuel consumption benefits range 0.53% to 18.44%, emission benefits range from 0.57% to 15.69%, no significant throughput benefits is observed. The proposed system significantly enhances the traffic safety and improves the fuel efficiency and emission reduction of left-turn vehicles with no adverse effect on mobility, and has a good robustness against the randomness of traffic. The investigation also indicates that the computation time of proposed system is greatly reduced compared to previous eco-driving system with online speed optimization. The computation time is up to 0.01 s. The proposed system is ready for real-time application.
机译:这项研究提出了一种在固定时间信号交叉口左转车辆的生态进出系统。与提高机动性和燃油效率相比,该系统在提高交通安全性方面具有更高的优先级,并且通过为左转CAV提供生态速度轨迹,优化了由联网和自动驾驶汽车(CAV)以及传统的人类驾驶汽车组成的整体交通。在实施系统之前,所有生态速度轨迹都已离线优化。速度轨迹优化是在Pontryagin的Minimum Principle结构中构建的。拟议系统的评估前后显示,以安全速度驶过十字路口的车辆的百分比增加了2.14%至45.65%,燃油消耗收益从0.53%至18.44%,排放收益从0.57%至15.69%,没有观察到显着的吞吐量优势。所提出的系统显着提高了交通安全性,并改善了左转车辆的燃油效率和排放减少,而对机动性没有不利影响,并且对交通的随机性具有良好的鲁棒性。研究还表明,与先前的具有在线速度优化的生态驾驶系统相比,该系统的计算时间大大减少。计算时间最长为0.01 s。拟议的系统已准备就绪,可以进行实时应用。

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