Effectiveness of driver's bounded rationality and speed guidance on fuel-saving and emissions-reducing at a signalized intersection

Effectiveness of driver's bounded rationality and speed guidance on fuel-saving and emissions-reducing at a signalized intersection
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信号交叉口驾驶员有限理性与速度引导对节油减排的有效性

DOI:
10.1016/j.jclepro.2021.129343
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发表时间:
2021-11
影响因子:
11.1
通讯作者:
Yuxuan Yang
Yuxuan Yang
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Xiaoning Wang;Minzhuang Liu;Yusheng Ci;Yuxuan Yang

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为降低驾驶员通过信号交叉口时的燃油消耗和排放,提出了一种考虑驾驶员有限理性和车速诱导的信号交叉口节油减排策略,包括策略的理论基础、车速诱导的情景划分和车辆最优轨迹的求解。驱动程序分为三种类型:积极,正常和保守。有限理性分为三个层次:低,中,高。并分别在低、中、高交通流量下进行了3 × 3 × 3的数值模拟实验。结果表明,在车速引导下,激进型驾驶员的节油减排效益最大,保守型驾驶员次之。当有限理性水平在高交通流下发生变化或交通流水平和有限理性水平同时发生变化时,效益将受到很大影响。驾驶员的有限理性会对油耗和排放产生负面影响,并且这种负面影响随着交通流量的增加而增加。提供正确的速度引导可以有效地减少负面影响。该研究可为人工驾驶环境下的驾驶员提供更有效的引导信息。
To reduce the fuel consumption and emissions of drivers passing through signalized intersections, this research proposes a fuel-saving and emissions-reducing strategy at a signalized intersection which takes into account driver's bounded rationality and speed guidance, including the theoretical basis of strategy, the scenario division of vehicle speed guidance, and the solution of vehicle optimal trajectory. Drivers are divided into three types: aggressive, normal, and conservative. Bounded rationality is divided into three levels: low, medium, and high. And the 3 × 3 × 3 numerical simulation experiments are carried out under low, medium, and high traffic flow. The results show that when the speed guidance is received, aggressive drivers have the greatest fuel-saving and emissions-reducing benefits, followed by conservative drivers. When the bounded rationality level changes under high traffic flow or the level of traffic flow and bounded rationality change concurrently, the benefits will be greatly affected. The driver's bounded rationality harms fuel consumption and emissions, and this negative effect increases with the increase of traffic flow. Providing corrected speed guidance can effectively reduce the negative effect. This study can provide more effective guidance information for drivers in a manual driving environment.
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