Lane-Level Navigation Based Eco-Approach

被引:9
|
作者
Hu, Jia [1 ]
Lei, Mingyue [1 ]
Wang, Haoran [1 ]
Wang, Miao [2 ]
Ding, Chuan [3 ]
Zhang, Zihan [1 ]
机构
[1] Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, Shanghai 201804, Peoples R China
[2] Baidu Inc, Beijing 100085, Peoples R China
[3] Beihang Univ, Sch Transportat Sci & Engn, Beijing 100083, Peoples R China
来源
关键词
Convergence; Roads; Fuels; Behavioral sciences; Wheels; Intelligent vehicles; Commercialization; Eco-approach; infrastructure enabled cooperative driving; human-driven vehicle; automated vehicle; AUTOMATED VEHICLES; OPTIMIZATION; MODEL; INTERSECTION;
D O I
10.1109/TIV.2023.3239386
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
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.
引用
收藏
页码:2786 / 2796
页数:11
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