规划师
燃料效率
计算机科学
趋同(经济学)
软件
运输工程
汽车工程
模拟
维西姆
导航系统
实时计算
运筹学
微模拟
工程类
人工智能
经济
程序设计语言
经济增长
作者
Jia Hu,Mingyue Lei,Haoran Wang,Miao Wang,Chuan Ding,Zihan Zhang
标识
DOI:10.1109/tiv.2023.3239386
摘要
An eco-approach planner system is established to realize lane-level navigation based eco-approach. It has the following features: i) with deeper consideration on mobility; ii) with enhanced practicality; iii) with an expanded target market for human driven vehicles on top of automated vehicles; iv) with a new structure laying the foundation for infrastructure enabled cooperative driving; v) with upgraded formulation to guarantee convergence. The performance of the proposed eco-approach planner system was evaluated in a software-in-the-loop simulation platform. The platform was previously developed by this research team and published in Transportation Research Part C. The influences of different arrival types and traffic congestion levels on the performance were analyzed. Experiment results showed that applying the planner system can reduce fuel consumption while maintaining the best feasible mobility level. The average fuel saving is about 65.5% and the average delay improvement is about 13.6% compared to a regular human driver.
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