Trajectory Planning Method for Mixed Vehicles Considering Traffic Stability and Fuel Consumption at the Signalized Intersection
Trajectory Planning Method for Mixed Vehicles Considering Traffic Stability and Fuel Consumption at the Signalized Intersection
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考虑信号交叉口交通稳定性和油耗的混合车辆轨迹规划方法
DOI:
10.1155/2020/1456207
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发表时间:
2020-01
影响因子:
2.3
通讯作者:
Shoucai Jing
中科院分区:
文献类型:
--
作者:
Shan Fang;Lan Yang;Tianqi Wang;Shoucai Jing
Traffic lights force vehicles to stop frequently at signalized intersections, which leads to excessive fuel consumption, higher emissions, and travel delays. To address these issues, this study develops a trajectory planning method for mixed vehicles at signalized intersections. First, we use the intelligent driver car-following model to analyze the string stability of traffic flow upstream of the intersection. Second, we propose a mixed-vehicle trajectory planning method based on a trigonometric model that considers prefixed traffic signals. The proposed method employs the proportional-integral-derivative (PID) model controller to simulate the trajectory when connected vehicles (equipped with internet access) follow the optimal advisory speed. Essentially, only connected vehicle trajectories need to be controlled because normal vehicles simply follow the connected vehicles according to the Intelligent Driver Model (IDM). The IDM model aims to minimize traffic oscillation and ensure that all vehicles pass the signalized intersection without stopping. The results of a MATLAB simulation indicate that the proposed method can reduce fuel consumption and NOx, HC, CO2, and CO concentrations by 17%, 22.8%, 17.8%, 17%, and 16.9% respectively when the connected vehicle market penetration is 50 percent.
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DOI:
10.1016/j.trb.2018.11.002
发表时间:
2018-12
期刊:
Transportation Research Part B: Methodological
影响因子:
--
作者:
X. Li;A. Ghiasi;Zhigang Xu;X. Qu
通讯作者:
X. Li;A. Ghiasi;Zhigang Xu;X. Qu
DOI:
10.1016/j.trc.2018.02.001
发表时间:
2018-04
影响因子:
8.3
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DOI:
10.1016/j.trc.2018.11.010
发表时间:
2019-01
期刊:
Transportation Research Part C: Emerging Technologies
影响因子:
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作者:
Yi Guo;Jiaqi Ma;Chenfeng Xiong;X. Li;Fang Zhou;Wei Hao
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Yi Guo;Jiaqi Ma;Chenfeng Xiong;X. Li;Fang Zhou;Wei Hao
DOI:
10.1109/tits.2018.2850335
发表时间:
2019-05-01
影响因子:
8.5
作者:
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通讯作者:
Rakha, Hesham A.
DOI:
10.1016/j.trc.2018.05.025
发表时间:
2018-10
期刊:
Transportation Research Part C: Emerging Technologies
影响因子:
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作者:
Weiming Zhao;D. Ngoduy;S. Shepherd;Ronghui Liu;M. Papageorgiou
通讯作者:
Weiming Zhao;D. Ngoduy;S. Shepherd;Ronghui Liu;M. Papageorgiou